Patent Grant
11741071
The present disclosure relates generally to information display method and content navigation. More specifically, this disclosure relates to systems and methods for navigating and viewing displayed content, such as by performing table navigation and manipulation operations on a computer display. Consistent with the disclosed embodiments, non-transitory computer-readable storage media may store program instructions, which may be executable by at least one processing device and perform any of the steps and/or methods described herein.
Operation of modern enterprises can be complicated and time-consuming. In many cases, managing the operation of a single project requires integration of several employees, departments, and other resources of the entity. To manage the challenging operation, project management software applications may be used. Such software applications allow a user to organize, plan, and manage resources by providing project-related information in order to optimize the time and resources spent on each project.
In addition, project management software applications often rely on the use of data tables to illustrate the plurality of tasks required by a project, the distribution of tasks, or the progress of tasks. Most of the time, by convention, the width and height of all cells in a table displayed on any display device are the same. If a cell contains a particularly large piece of information, the entire piece of information may not be displayed, which impacts the readability and practicality of the table. This is notably true for mobile devices having particularly limited display dimensions.
Changing the dimensions of such a cell usually requires specific operations that take time, which has an impact on the efficiency of the table user. Therefore, it is essential to be able to quickly display all the information included in the cells on a table, while a user navigates through displayed content. The present disclosure describes solutions to address or overcome one or more of the above-stated problems, among other drawbacks in traditional systems.
Embodiments consistent with the present disclosure provide systems and methods for performing table navigation operations on a display. The disclosed embodiments may be implemented using a combination of conventional hardware and software as well as specialized hardware and software.
In an embodiment, a non-transitory computer-readable medium containing instructions that, when executed, cause at least one processor to perform table navigation operations on a display, wherein the table comprises rows and columns and at least one cell that contains more information than presented on the display is disclosed. The operations may comprise receiving a scroll signal for scrolling the table, wherein the scroll signal results from a motion of a user on the display; in response to a vertical component in the motion, causing the table to scroll vertically; in response to a horizontal component in the motion, causing the table to scroll horizontally; receiving an enhancing scroll signal resulting from an enhancing motion for revealing hidden information within the at least one cell on the table; and in response to the enhancing scroll signal, revealing at least a portion of the hidden information within the at least one cell.
In another embodiment, a method for performing table navigation operations on a display, wherein the table comprises rows and columns and at least one cell that contains more information than it presents is disclosed. The method may comprise: receiving a scroll signal for scrolling the table, wherein the scroll signal results from a motion of a user on the display; in response to a vertical component in the motion, causing the table to scroll vertically; in response to a horizontal component in the motion, causing the table to scroll horizontally; receiving an enhancing scroll signal resulting from an enhancing motion for revealing hidden information within the at least one cell on the table; and in response to the enhancing scroll signal, revealing at least a portion of the hidden information within the at least one cell.
In yet another embodiment, a system for performing table navigation operations on a display, wherein the table comprises rows and columns and at least one cell that contains more information than it presents is disclosed. The system may comprise a memory storing instructions and at least one processor that executes the stored instructions to receive a scroll signal for scrolling the table, wherein the scroll signal results from a motion of a user on the display; in response to a vertical component in the motion, cause the table to scroll vertically; in response to a horizontal component in the motion, cause the table to scroll horizontally; receive an enhancing scroll signal resulting from an enhancing motion for revealing hidden information within the at least one cell on the table; and in response to the enhancing scroll signal, reveal at least a portion of the hidden information within the at least one cell.
Other advantages of the invention are set forth in the appended claims which form an integral part hereof. The foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the claims.
The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various disclosed embodiments. In the drawings:
Disclosed embodiments provide new and improved techniques for navigating and viewing displayed content, including techniques for dynamically modifying display of table content to display all contents of a table cell, in response to detection of an enhanced scroll signal.
Exemplary embodiments are described with reference to the accompanying drawings. The figures are not necessarily drawn to scale. While examples and features of disclosed principles are described herein, modifications, adaptations, and other implementations are possible without departing from the spirit and scope of the disclosed embodiments. Also, the words “comprising,” “having,” “containing,” and “including,” and other similar forms are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It should also be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise.
In the following description, various working examples are provided for illustrative purposes. However, is to be understood the present disclosure may be practiced without one or more of these details.
Throughout, this disclosure mentions “disclosed embodiments,” which refer to examples of inventive ideas, concepts, and/or manifestations described herein. Many related and unrelated embodiments are described throughout this disclosure. The fact that some “disclosed embodiments” are described as exhibiting a feature or characteristic does not mean that other disclosed embodiments necessarily share that feature or characteristic.
This disclosure presents various mechanisms for collaborative work systems. Such systems may involve software that enables multiple users to work collaboratively. By way of one example, workflow management software may enable various members of a team to cooperate via a common online platform. It is intended that one or more aspects of any mechanism may be combined with one or more aspect of any other mechanisms, and such combinations are within the scope of this disclosure.
This disclosure is constructed to provide a basic understanding of a few exemplary embodiments with the understanding that features of the exemplary embodiments may be combined with other disclosed features or may be incorporated into platforms or embodiments not described herein while still remaining within the scope of this disclosure. For convenience, and form of the word “embodiment” as used herein is intended to refer to a single embodiment or multiple embodiments of the disclosure.
Certain embodiments disclosed herein include devices, systems, and methods for collaborative work systems that may allow a user to interact with information in real time. To avoid repetition, the functionality of some embodiments is described herein solely in connection with a processor or at least one processor. It is to be understood that such exemplary descriptions of functionality apply equally to methods and computer readable media and constitutes a written description of systems, methods, and computer readable media. The underlying platform may allow a user to structure a systems, methods, or computer readable media in many ways using common building blocks, thereby permitting flexibility in constructing a product that suits desired needs. This may be accomplished through the use of boards. A board may be a table configured to contain items (e.g., individual items presented in horizontal rows) defining objects or entities that are managed in the platform (task, project, client, deal, etc.). Unless expressly noted otherwise, the terms “board” and “table” may be considered synonymous for purposes of this disclosure. In some embodiments, a board may contain information beyond which is displayed in a table. Boards may include sub-boards that may have a separate structure from a board. Sub-boards may be tables with sub-items that may be related to the items of a board. Columns intersecting with rows of items may together define cells in which data associated with each item may be maintained. Each column may have a heading or label defining an associated data type. When used herein in combination with a column, a row may be presented horizontally and a column vertically. However, in the broader generic sense as used herein, the term “row” may refer to one or more of a horizontal and/or a vertical presentation. A table or tablature as used herein, refers to data presented in horizontal and vertical rows, (e.g., horizontal rows and vertical columns) defining cells in which data is presented. Tablature may refer to any structure for presenting data in an organized manner, as previously discussed. such as cells presented in horizontal rows and vertical columns, vertical rows and horizontal columns, a tree data structure, a web chart, or any other structured representation, as explained throughout this disclosure. A cell may refer to a unit of information contained in the tablature defined by the structure of the tablature. For example, a cell may be defined as an intersection between a horizontal row with a vertical column in a tablature having rows and columns. A cell may also be defined as an intersection between a horizontal and a vertical row, or as an intersection between a horizontal and a vertical column. As a further example, a cell may be defined as a node on a web chart or a node on a tree data structure. As would be appreciated by a skilled artisan, however, the disclosed embodiments are not limited to any specific structure, but rather may be practiced in conjunction with any desired organizational arrangement. In addition, tablature may include any type of information, depending on intended use. When used in conjunction with a workflow management application, the tablature may include any information associated with one or more tasks, such as one or more status values, projects, countries, persons, teams, progress statuses, a combination thereof, or any other information related to a task.
While a table view may be one way to present and manage the data contained on a board, a table's or board's data may be presented in different ways. For example, in some embodiments, dashboards may be utilized to present or summarize data derived from one or more boards. A dashboard may be a non-table form of presenting data, using, for example, static or dynamic graphical representations. A dashboard may also include multiple non-table forms of presenting data. As discussed later in greater detail, such representations may include various forms of graphs or graphics. In some instances, dashboards (which may also be referred to more generically as “widgets”) may include tablature. Software links may interconnect one or more boards with one or more dashboards thereby enabling the dashboards to reflect data presented on the boards. This may allow, for example, data from multiple boards to be displayed and/or managed from a common location. These widgets may provide visualizations that allow a user to update data derived from one or more boards.
Boards (or the data associated with boards) may be stored in a local memory on a user device or may be stored in a local network repository. Boards may also be stored in a remote repository and may be accessed through a network. In some instances, permissions may be set to limit board access to the board's “owner” while in other embodiments a user's board may be accessed by other users through any of the networks described in this disclosure. When one user makes a change in a board, that change may be updated to the board stored in a memory or repository and may be pushed to the other user devices that access that same board. These changes may be made to cells, items, columns, boards, dashboard views, logical rules, or any other data associated with the boards. Similarly, when cells are tied together or are mirrored across multiple boards, a change in one board may cause a cascading change in the tied or mirrored boards or dashboards of the same or other owners.
Boards and widgets may be part of a platform that may enable users to interact with information in real time in collaborative work systems involving electronic collaborative word processing documents. Electronic collaborative word processing documents (and other variations of the term) as used herein are not limited to only digital files for word processing, but may include any other processing document such as presentation slides, tables, databases, graphics, sound files, video files or any other digital document or file. Electronic collaborative word processing documents may include any digital file that may provide for input, editing, formatting, display, and/or output of text, graphics, widgets, objects, tables, links, animations, dynamically updated elements, or any other data object that may be used in conjunction with the digital file. Any information stored on or displayed from an electronic collaborative word processing document may be organized into blocks. A block may include any organizational unit of information in a digital file, such as a single text character, word, sentence, paragraph, page, graphic, or any combination thereof. Blocks may include static or dynamic information, and may be linked to other sources of data for dynamic updates. Blocks may be automatically organized by the system, or may be manually selected by a user according to preference. In one embodiment, a user may select a segment of any information in an electronic word processing document and assign it as a particular block for input, editing, formatting, or any other further configuration.
An electronic collaborative word processing document may be stored in one or more repositories connected to a network accessible by one or more users through their computing devices. In one embodiment, one or more users may simultaneously edit an electronic collaborative word processing document. The one or more users may access the electronic collaborative word processing document through one or more user devices connected to a network. User access to an electronic collaborative word processing document may be managed through permission settings set by an author of the electronic collaborative word processing document. An electronic collaborative word processing document may include graphical user interface elements enabled to support the input, display, and management of multiple edits made by multiple users operating simultaneously within the same document.
Various embodiments are described herein with reference to a system, method, device, or computer readable medium. It is intended that the disclosure of one is a disclosure of all. For example, it is to be understood that disclosure of a computer readable medium described herein also constitutes a disclosure of methods implemented by the computer readable medium, and systems and devices for implementing those methods, via for example, at least one processor. It is to be understood that this form of disclosure is for ease of discussion only, and one or more aspects of one embodiment herein may be combined with one or more aspects of other embodiments herein, within the intended scope of this disclosure.
Embodiments described herein may refer to a non-transitory computer readable medium containing instructions that when executed by at least one processor, cause the at least one processor to perform a method. Non-transitory computer readable mediums may be any medium capable of storing data in any memory in a way that may be read by any computing device with a processor to carry out methods or any other instructions stored in the memory. The non-transitory computer readable medium may be implemented as hardware, firmware, software, or any combination thereof. Moreover, the software may preferably be implemented as an application program tangibly embodied on a program storage unit or computer readable medium consisting of parts, or of certain devices and/or a combination of devices. The application program may be uploaded to, and executed by, a machine comprising any suitable architecture. Preferably, the machine may be implemented on a computer platform having hardware such as one or more central processing units (“CPUs”), a memory, and input/output interfaces. The computer platform may also include an operating system and microinstruction code. The various processes and functions described in this disclosure may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU, whether or not such a computer or processor is explicitly shown. In addition, various other peripheral units may be connected to the computer platform such as an additional data storage unit and a printing unit. Furthermore, a non-transitory computer readable medium may be any computer readable medium except for a transitory propagating signal.
As used herein, a non-transitory computer-readable storage medium refers to any type of physical memory on which information or data readable by at least one processor can be stored. Examples of memory include Random Access Memory (RAM), Read-Only Memory (ROM), volatile memory, nonvolatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, any other optical data storage medium, any physical medium with patterns of holes, markers, or other readable elements, a PROM, an EPROM, a FLASH-EPROM or any other flash memory, NVRAM, a cache, a register, any other memory chip or cartridge, and networked versions of the same. The terms “memory” and “computer-readable storage medium” may refer to multiple structures, such as a plurality of memories or computer-readable storage mediums located within an input unit or at a remote location. Additionally, one or more computer-readable storage mediums can be utilized in implementing a computer-implemented method. The memory may include one or more separate storage devices collocated or disbursed, capable of storing data structures, instructions, or any other data. The memory may further include a memory portion containing instructions for the processor to execute. The memory may also be used as a working scratch pad for the processors or as a temporary storage Accordingly, the term computer-readable storage medium should be understood to include tangible items and exclude carrier waves and transient signals.
Some embodiments may involve at least one processor. Consistent with disclosed embodiments, “at least one processor” may constitute any physical device or group of devices having electric circuitry that performs a logic operation on an input or inputs. For example, the at least one processor may include one or more integrated circuits (IC), including application-specific integrated circuit (ASIC), microchips, microcontrollers, microprocessors, all or part of a central processing unit (CPU), graphics processing unit (GPU), digital signal processor (DSP), field-programmable gate array (FPGA), server, virtual server, or other circuits suitable for executing instructions or performing logic operations. The instructions executed by at least one processor may, for example, be pre-loaded into a memory integrated with or embedded into the controller or may be stored in a separate memory. The memory may include a Random Access Memory (RAM), a Read-Only Memory (ROM), a hard disk, an optical disk, a magnetic medium, a flash memory, other permanent, fixed, or volatile memory, or any other mechanism capable of storing instructions. In some embodiments, the at least one processor may include more than one processor. Each processor may have a similar construction or the processors may be of differing constructions that are electrically connected or disconnected from each other. For example, the processors may be separate circuits or integrated in a single circuit. When more than one processor is used, the processors may be configured to operate independently or collaboratively, and may be co-located or located remotely from each other. The processors may be coupled electrically, magnetically, optically, acoustically, mechanically or by other means that permit them to interact.
Consistent with the present disclosure, disclosed embodiments may involve a network. A network may constitute any type of physical or wireless computer networking arrangement used to exchange data. For example, a network may be the Internet, a private data network, a virtual private network using a public network, a Wi-Fi network, a LAN or WAN network, a combination of one or more of the forgoing, and/or other suitable connections that may enable information exchange among various components of the system. In some embodiments, a network may include one or more physical links used to exchange data, such as Ethernet, coaxial cables, twisted pair cables, fiber optics, or any other suitable physical medium for exchanging data. A network may also include a public switched telephone network (“PSTN”) and/or a wireless cellular network. A network may be a secured network or unsecured network. In other embodiments, one or more components of the system may communicate directly through a dedicated communication network. Direct communications may use any suitable technologies, including, for example, BLUETOOTH™, BLUETOOTH LE™ (BLE), Wi-Fi, near field communications (NFC), or other suitable communication methods that provide a medium for exchanging data and/or information between separate entities.
Certain embodiments disclosed herein may also include a computing device for generating features for work collaborative systems, the computing device may include processing circuitry communicatively connected to a network interface and to a memory, wherein the memory contains instructions that, when executed by the processing circuitry, configure the computing device to receive from a user device associated with a user account instruction to generate a new column of a single data type for a first data structure, wherein the first data structure may be a column oriented data structure, and store, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository may be accessible and may be displayed as a display feature to the user and at least a second user account. The computing devices may be devices such as mobile devices, desktops, laptops, tablets, or any other devices capable of processing data. Such computing devices may include a display such as an LED display, augmented reality (AR), virtual reality (VR) display.
Disclosed embodiments may include and/or access a data structure. A data structure consistent with the present disclosure may include any collection of data values and relationships among them. The data may be stored linearly, horizontally, hierarchically, relationally, non-relationally, uni-dimensionally, multidimensionally, operationally, in an ordered manner, in an unordered manner, in an object-oriented manner, in a centralized manner, in a decentralized manner, in a distributed manner, in a custom manner, or in any manner enabling data access. By way of non-limiting examples, data structures may include an array, an associative array, a linked list, a binary tree, a balanced tree, a heap, a stack, a queue, a set, a hash table, a record, a tagged union, ER model, and a graph. For example, a data structure may include an XML database, an RDBMS database, an SQL database or NoSQL alternatives for data storage/search such as, for example, MongoDB, Redis, Couchbase, Datastax Enterprise Graph, Elastic Search, Splunk, Solr, Cassandra, Amazon DynamoDB, Scylla, HBase, and Neo4J. A data structure may be a component of the disclosed system or a remote computing component (e.g., a cloud-based data structure). Data in the data structure may be stored in contiguous or non-contiguous memory. Moreover, a data structure, as used herein, does not require information to be co-located. It may be distributed across multiple servers, for example, that may be owned or operated by the same or different entities. Thus, the term “data structure” as used herein in the singular is inclusive of plural data structures.
Certain embodiments disclosed herein may include a processor configured to perform methods that may include triggering an action in response to an input. The input may be from a user action or from a change of information contained in a user's table or board, in another table, across multiple tables, across multiple user devices, or from third-party applications. Triggering may be caused manually, such as through a user action, or may be caused automatically, such as through a logical rule, logical combination rule, or logical templates associated with a board. For example, a trigger may include an input of a data item that is recognized by at least one processor that brings about another action.
In some embodiments, the methods including triggering may cause an alteration of data and may also cause an alteration of display of data contained in a board or in memory. An alteration of data may include a recalculation of data, the addition of data, the subtraction of data, or a rearrangement of information. Further, triggering may also cause a communication to be sent to a user, other individuals, or groups of individuals. The communication may be a notification within the system or may be a notification outside of the system through a contact address such as by email, phone call, text message, video conferencing, or any other third-party communication application.
Some embodiments include one or more of automations, logical rules, logical sentence structures and logical (sentence structure) templates. While these terms are described herein in differing contexts, in a broadest sense, in each instance an automation may include a process that responds to a trigger or condition to produce an outcome; a logical rule may underly the automation in order to implement the automation via a set of instructions; a logical sentence structure is one way for a user to define an automation; and a logical template/logical sentence structure template may be a fill-in-the-blank tool used to construct a logical sentence structure. While all automations may have an underlying logical rule, all automations need not implement that rule through a logical sentence structure. Any other manner of defining a process that respond to a trigger or condition to produce an outcome may be used to construct an automation.
Other terms used throughout this disclosure in differing exemplary contexts may generally share the following common definitions.
In some embodiments, machine learning algorithms (also referred to as machine learning models or artificial intelligence in the present disclosure) may be trained using training examples, for example in the cases described below. Some non-limiting examples of such machine learning algorithms may include classification algorithms, data regressions algorithms, image segmentation algorithms, visual detection algorithms (such as object detectors, face detectors, person detectors, motion detectors, edge detectors, etc.), visual recognition algorithms (such as face recognition, person recognition, object recognition, etc.), speech recognition algorithms, mathematical embedding algorithms, natural language processing algorithms, support vector machines, random forests, nearest neighbors algorithms, deep learning algorithms, artificial neural network algorithms, convolutional neural network algorithms, recursive neural network algorithms, linear machine learning models, non-linear machine learning models, ensemble algorithms, and so forth. For example, a trained machine learning algorithm may comprise an inference model, such as a predictive model, a classification model, a regression model, a clustering model, a segmentation model, an artificial neural network (such as a deep neural network, a convolutional neural network, a recursive neural network, etc.), a random forest, a support vector machine, and so forth. In some examples, the training examples may include example inputs together with the desired outputs corresponding to the example inputs. Further, in some examples, training machine learning algorithms using the training examples may generate a trained machine learning algorithm, and the trained machine learning algorithm may be used to estimate outputs for inputs not included in the training examples. In some examples, engineers, scientists, processes and machines that train machine learning algorithms may further use validation examples and/or test examples. For example, validation examples and/or test examples may include example inputs together with the desired outputs corresponding to the example inputs, a trained machine learning algorithm and/or an intermediately trained machine learning algorithm may be used to estimate outputs for the example inputs of the validation examples and/or test examples, the estimated outputs may be compared to the corresponding desired outputs, and the trained machine learning algorithm and/or the intermediately trained machine learning algorithm may be evaluated based on a result of the comparison. In some examples, a machine learning algorithm may have parameters and hyper parameters, where the hyper parameters are set manually by a person or automatically by a process external to the machine learning algorithm (such as a hyper parameter search algorithm), and the parameters of the machine learning algorithm are set by the machine learning algorithm according to the training examples. In some implementations, the hyper-parameters are set according to the training examples and the validation examples, and the parameters are set according to the training examples and the selected hyper-parameters.
Disclosed embodiments may include at least one processor may be configured to execute stored instructions to perform table navigation operations on a display. In some embodiments, the table may comprise rows and columns and at least one cell that may contain more information than presented on the display. In some embodiments, the table may include a data structure such as a relational database having entries organized in rows and columns, with data occupying or potentially occupying each cell formed by a row-column intersection.
As used in this disclosure, the term “display” refers either to any physical device capable of providing a visual representation of a table or directly to a visual representation of a table. Examples of physical devices acting as displays may include computer screens, smartphone screens, tablet screens, smartwatch screens, laptop screens, video walls, projectors, head-mounted displays or virtual reality headsets. Additionally, displays may utilize graphical user interfaces (GUIs) to permit user interaction with data. In many GUIs, a visual representation of table is often provided using a graphical user interface component known as a window. Any visual representation of a device or display may be characterized by dimensions, these dimensions are limited to the physical dimensions of the device, and often, a table may not be completely presented on a display device or fit a window. This drawback is common among devices with small screens, such as smartphones or tablets. The dimensions of the table cells may therefore be limited by the dimensions of the display.
Above and throughout this disclosure, the term “information” or “piece of information” may refer to any type of data with a visual representation, such as text, images, numbers, diagrams, drawings or GUI components that may be included in a table cell. Each piece of information may have an associated size, such as a size that a piece of information may have when fully presented on a display. The associated size of an information may be larger than the dimensions of a table cell, in such a situation the entirety of the information may therefore be not displayed in the table cell, or fit the table cell. Accordingly, the information may be split into two parts, a first part that is visible, and presented on a display and a second part that is hidden and not presented on the display.
In some embodiments, all table cells may share at least one common dimension. A common dimension may refer to a common width, a common height or both a common height and width. For example, as illustrated in
In some embodiments, the table may not be entirely displayed. For example, some rows or columns may not be visible as the table does not fit the dimensions of the display. This situation is illustrated in
Referring again to
Referring again to
In step 106, in response to a horizontal component in the motion, the at least one processor may cause the table to scroll horizontally. Similar to the vertical scroll discussed above, the at least one processor may be configured to detect a motion of the user using one or more input devices, such as a touch-sensitive layer of the display screen, and analyze the motion to detect a horizontal component of the motion. The at least one processor may move the page horizontally, such as left or right, on the display, in response to the horizontal component of the motion.
For example, in the situation illustrated in
In step 108, the at least one processor may receive an enhancing scroll signal resulting from an enhancing motion for revealing hidden information within the at least one cell on the table. In accordance with the disclosed embodiments, upon reception of an enhancing scroll signal, portions of the hidden information within the at least one cell may be revealed, wherein the enhancing scroll signal may be the result of an enhancing motion for revealing hidden information within the at least one cell. An enhancing motion may correspond to manipulating various controls on GUI components, a particular movement made by the user or any type of user input related to the display, for revealing hidden information within the at least one cell. Examples of an enhancing motion may include performing a swipe motion relative to the display that is interpreted differently than the scroll signal, persistently clicking at a particular location of the display, double or repeatedly tapping a particular location on the display, performing a pinching out motion relative to the display, and other motions or commands that are interpreted differently than a scroll signal due to the satisfaction of one or more conditions. In some embodiments, the enhancing motion may be different from a motion capable of scrolling the table horizontally or vertically.
In step 110, in response to the enhancing scroll signal, the at least one processor may reveal at least a portion of the hidden information within the at least one cell. In some embodiments, responsive to receipt of an enhancing motion, the at least one cell may be displayed in an enhanced form, such that a portion of the hidden information may be revealed.
In some embodiments, revealing the hidden information may be progressive, and a ratio between an amount of the information revealed and an amount of information initially hidden may be proportional to a length of the enhancing motion. In the context of this description, a progressive revelation may refer to a situation in which the transition from a state in which some of the information in a table cell is hidden to a state in which all of the information is visible in the table cell is not sudden. Instead, the revelation may proceed continuously or step by step. For example, if a fairly long text is included in a cell and only part of it is visible, instead of revealing all the missing words at once, the process may be progressive, revealing the hidden part of the text word by word or sentence by sentence. To carry out this progressive revelation, a ratio between a quantity of revealed information and a quantity of information initially hidden, such as prior to any enhancing scroll motion can be used. As an example, one may consider a situation where the information contained in a cell is an image and only one-third of the image is visible. Two-thirds of the image may hidden, and after the revelation process starts, half of the image may become visible, such that the ratio between the amount of information revealed and the amount of information initially hidden is 25%. The revelation process continues, two-thirds of the image is now visible, and the ratio is 50%. The process continues and ends when the ratio is 100%.
In some embodiments, the ratio may be proportional to a length of the enhancing motion. A length of the motion may include a physical length of the motion on the display, a time duration of motion, or a combination thereof. For example, if the enhancing motion corresponds to a swipe motion made by a user across a display, the longer the distance of the swipe motion across the display, the larger the ratio between the quantity of information revealed to the quantity of information initially hidden. In another example, if the enhancing movement corresponds to a persistent touch of a part of a display, the longer the duration of the persistent touch, the larger the ratio between the quantity of revealed information and the quantity of information initially hidden.
In some embodiments, “revealing” hidden information may include making visible at least a part of the information that was not previously visible, accessible, or presented on a display. For example, referring to
In some embodiments, the enhancing motion may correspond to a motion capable of scrolling the table horizontally or vertically. In such embodiments, a result of the motion may correspond to at least one of: revealing hidden information within the at least one cell on the table if the motion is performed on a predetermined portion of the display; or, causing the table to scroll horizontally or vertically if the motion is performed on a portion different from the predetermined portion of the display. In some embodiments, a predetermined portion of the display may refer to a portion of the display having certain characteristics. Examples of a predetermined portion of a display may include, a corner, an edge, or a zone of a display. Consistent with this disclosure, performing a motion capable of scrolling the table horizontally or vertically on a predetermined zone may result in revealing hidden information within at least one cell.
Referring to
In some embodiments, revealing the hidden information may cease after the enhancing motion terminates. Ceasing to reveal hidden information may refer to the end of the revelation process, regardless of whether all the hidden information in the at least one cell has been revealed. For example, in a situation wherein a ratio between an amount of the information revealed and an amount of information initially hidden is proportional to a length of the enhancing motion, the enhancing motion may terminate before the length of the enhancing motion reach a value corresponding to a ratio equal to 100%. In some embodiments, ceasing to reveal hidden information in the at least one cell may comprise restoring an initial situation in which none of the hidden information in the at least one cell is revealed. For example, if 60% of the initially hidden information of at least one cell was revealed before the enhancing motion terminates after the enhancing motion terminates the initial situation in which 0% of the initially hidden information is revealed will be presented on the display. In some embodiments, restoring the initial situation in which none of the hidden information in the at least one cell is revealed may be progressive or sudden.
In some embodiments, the hidden information may be revealed for a predetermined time period. Revealing for a predetermined time period may involve the at least one cell remaining in an enhanced form for a predetermined amount of time after the enhancing motion terminates, or after another trigger consistent with disclosed embodiments. Examples of a predetermined time period may include 1, 2, 5, 10 seconds or any suitable time period. In some embodiments, once the predetermined time is over, the displayed table may revert to its initial appearance, in which the revealed information in the at least one cell becomes hidden again. For example, if at least one cell is in an enhanced form after receiving an enhancement scroll signal, the at least one cell may remain in the enhanced form for a predetermined period of time (for example, 2 seconds) before returning to an initial state. In some further embodiments, restoring the initial situation in which none of the hidden information in the at least one cell is revealed may be progressive or sudden.
In some embodiments, the enhancing scroll signal may be based on a scroll motion performed beyond an end of the table. An end of the table may me associated with any characteristics of the outermost edges, locations, or sides of the table. An ends of a table may include, for example, a first or last row, a first or last column, outer borders, outer corners, or row or column labels. For example, with reference to
In some embodiments, the at least one cell may be located at a first end of the table or at a second end of the table opposite the first end. A first end of the table may correspond to a first row or column, and a second end of the table opposite to the first end may correspond to a last row or column. For example, as illustrated in
In some further embodiments, wherein the enhancing scroll signal is based on a scroll motion performed beyond an end of the table, the hidden information may be revealed while the enhanced scroll motion is performed on a predetermined portion of the display. As mentioned above, a predetermined portion of the display may refer to a portion of the display having certain characteristics. With reference to
In some embodiments where the enhancing scroll signal is based on a scroll motion performed beyond an end of the table, the at least one processor may cause both scrolling and a partial revealing of the hidden information if the scroll signal exceeds a threshold. In the context of this description, a threshold may refer to a certain length of a scroll signal where the scroll signal may be initially executed to scroll the table and is long enough to scroll the table beyond one end of the table. Examples of a threshold may include a physical length threshold, a time duration of motion threshold or a combination thereof. In accordance with this disclosure, such a scroll signal, rather than scrolling only to one end of the table, may also cause a partial revelation of information hidden in at least one cell. A partial revealing of the hidden information may refer to a certain percentage of the information being revealed. In some embodiments, a partial revealing of the hidden information may include revealing a percentage of the hidden information strictly below 100%. A user without prior knowledge of the existence of an enhancing scrolling motion may discover this feature by performing a scrolling signal exceeding the threshold.
In some embodiments, revealing the hidden information may include at least one of: enlarging the at least one cell in order to present all the information contained within the at least one cell; or modifying a size of all information contained within the at least one cell to enable presentation of all the information contained within the at least one cell without changing dimensions of the at least one cell. Enlarging the at least one cell may refer to increasing at least one of the dimensions of the at least one cell. Modifying a size of all information contained within the at least one cell without changing dimensions of the at least one cell, on the other hand may refer to reducing the associated size of all information contained within the at least one cell, to fit within the dimensions of the at least one cell. Accordingly, a cell in an enhanced form may either have at least one of its dimensions increased or comprise a piece of information with reduced dimensions. In other embodiments, revealing the hidden information may include a combination of enlarging the at least one cell and modifying a size of all information contained within the at least one cell in order to present all the information contained within the at least one cell. In such a situation, a compromise may be found between dimensions that are too large for a cell and dimensions that are too small for a piece of information. In some other embodiments, revealing the hidden information may include enlarging the dimensions of the at least one cell to the dimensions of the display, and if in the enlarged version of the at least one cell not all of the hidden information is revealed, further modifying a size of the information to enable a presentation of all of the information contained in the enlarged version of the at least one cell.
In some embodiments, the enlarged at least one cell may include at least one of an increased height, an expansion in width, or an expansion in both height and width. For example, as illustrated in
In some embodiments, at least one dimension of one or more cells adjacent to the at least one cell may remain unchanged. A cell adjacent to the at least one cell may refer to a cell that shares at least one edge with the at least one cell. For example, as illustrated in
In some embodiments, after the enhancing scroll signal terminates, the enlarged at least one cell may return to its original dimensions, or the size of all information contained within the at least one cell may return to its original size. The return to the original dimensions of at least one cell or the return to the original size of a piece of information included in at least one cell can occur independently of the fact that all the information hidden in at least one cell has been revealed. For example, in
In some embodiments, the enhancing scroll signal may cause a font size to change. For example, as illustrated in
In some embodiments, revealing the hidden information may further include enlarging the at least one cell, and wrapping one or more lines of text contained within the at least one cell. For example, in
In some embodiments, the at least one processor lock the at least one cell in an enhanced form until an unlock signal is received. An unlock signal may refer to a signal generated upon reception of any type of user input related to the display. Examples of user input may include manipulating various controls on GUI components or performing a particular movement. For example, a swipe motion or a pinching in motion may result in the generation of an unlock signal. In some embodiments, a motion that is reversed from the enhancing motion may lead to the generation of a unlock signal. Examples of motion/reversed motion may include pinching in/pinching out or scrolling beyond an end of a table/scrolling toward an end of a table. In some embodiments repeating the enhancing motion when the at least one cell is an enhanced form may lead to the generation of an unlock signal. For example, if the enhancement movement corresponds to a double tap on a particular portion of the screen, a further double tap on the particular portion of the screen may lead to the generation of an unlock signal and trigger the restoration of an initial state in which the at least one cell includes more information than that displayed. In some other embodiments, locking the at least one cell in an enhanced form, may include locking the at least one cell only if all the hidden information comprised in the at least one cell is revealed.
In some embodiments, in a situation wherein the at least one cell is locked in an enhanced form, and the unlock signal is not the result of a motion capable to scroll the table horizontally or vertically, one or more scroll signals may be received for causing the table with the at least one cell in an enhanced form to scroll vertically or horizontally. Referring to
In some embodiments, a system may be configured to perform table navigation operations on a display. As discussed herein, the table may include rows and columns and at least one cell that contains more information than it presents. The system may comprise a memory storing instructions and at least one processor that executes the stored instructions to perform operations. Consistent with
The memory 420 may further include a memory portion 422 that may contain instructions that when executed by the processing circuitry 410, may perform the method described in more detail herein. The memory 420 may be further used as a working scratch pad for the processing circuitry 410, a temporary storage, and others, as the case may be. The memory 420 may be a volatile memory such as, but not limited to, random access memory (RAM), or non-volatile memory (NVM), such as, but not limited to, flash memory. The processing circuitry 410 may be further connected to a network device 440, such as a network interface card, for providing connectivity between the computing device 400 and a network, such as a network 410, discussed in more detail with respect to
The processing circuitry 410 and/or the memory 420 may also include machine-readable media for storing software. “Software” as used herein refers broadly to any type of instructions, whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise. Instructions may include code (e.g., in source code format, binary code format, executable code format, or any other suitable format of code). The instructions, when executed by the one or more processors, may cause the processing system to perform the various functions described in further detail herein.
In some embodiments, computing device 400 may include one or more input and output devices (not shown in figure). Computing device may also include a display 450, such as a touchscreen display or other display types discussed herein.
One or more user devices 520-1 through user device 520-m, where ‘m’ in an integer equal to or greater than 1, referred to individually as user device 520 and collectively as user devices 520, may be communicatively coupled with the computing device 400 via the network 510. A user device 520 may be for example, a smart phone, a mobile phone, a laptop, a tablet computer, a wearable computing device, a personal computer (PC), a smart television and the like. A user device 520 may be configured to send to and receive from the computing device 400 data and/or metadata associated with a variety of elements associated with single data type column-oriented data structures, such as columns, rows, cells, schemas, and the like.
One or more data repositories 530-1 through data repository 530-n, where ‘n’ in an integer equal to or greater than 1, referred to individually as data repository 530 and collectively as data repository 530, may be communicatively coupled with the computing device 400 via the network 510, or embedded within the computing device 400. Each data repository 530 may be communicatively connected to the network 510 through one or more database management services (DBMS) 535-1 through DBMS 535-n. The data repository 530 may be for example, a storage device containing a database, a data warehouse, and the like, that may be used for storing data structures, data items, metadata, or any information, as further described below. In some embodiments, one or more of the repositories may be distributed over several physical storage devices, e.g., in a cloud-based computing environment. Any storage device may be a network accessible storage device, or a component of the computing device 400.
The embodiments disclosed herein are exemplary and any other means for performing and facilitating display navigation operations may be consistent with this disclosure.
The foregoing description has been presented for purposes of illustration. It is not exhaustive and is not limited to the precise forms or embodiments disclosed. Modifications and adaptations will be apparent to those skilled in the art from consideration of the specification and practice of the disclosed embodiments.
Moreover, while illustrative embodiments have been described herein, the scope of any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of aspects across various embodiments), adaptations and/or alterations as would be appreciated by those skilled in the art based on the present disclosure. The limitations in the claims are to be interpreted broadly based on the language employed in the claims and not limited to examples described in the present specification or during the prosecution of the application. The examples are to be construed as non-exclusive. Furthermore, the steps of the disclosed methods may be modified in any manner, including by reordering steps and/or inserting or deleting steps. It is intended, therefore, that the specification and examples be considered as illustrative only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. The materials, methods, and examples provided herein are illustrative only and not intended to be limiting.
Implementation of the method and system of the present disclosure may involve performing or completing certain selected tasks or steps manually, automatically, or a combination thereof. Moreover, according to actual instrumentation and equipment of preferred embodiments of the method and system of the present disclosure, several selected steps may be implemented by hardware (HW) or by software (SW) on any operating system of any firmware, or by a combination thereof. For example, as hardware, selected steps of the disclosure could be implemented as a chip or a circuit. As software or algorithm, selected steps of the disclosure could be implemented as a plurality of software instructions being executed by a computer using any suitable operating system. In any case, selected steps of the method and system of the disclosure could be described as being performed by a data processor, such as a computing device for executing a plurality of instructions.
As used herein, the terms “machine-readable medium” “computer-readable medium” refers to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term “machine-readable signal” refers to any signal used to provide machine instructions and/or data to a programmable processor.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Although the present disclosure is described with regard to a “computing device”, a “computer”, or “mobile device”, it should be noted that optionally any device featuring a data processor and the ability to execute one or more instructions may be described as a computing device, including but not limited to any type of personal computer (PC), a server, a distributed server, a virtual server, a cloud computing platform, a cellular telephone, an IP telephone, a smartphone, a smart watch or a PDA (personal digital assistant). Any two or more of such devices in communication with each other may optionally comprise a “network” or a “computer network.”
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (a LED (light-emitting diode), or OLED (organic LED), or LCD (liquid crystal display) monitor/screen) for displaying information to the user and a touch-sensitive layer such as a touchscreen, or keyboard and a pointing device (e.g., a mouse or a trackball), by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (“LAN”), a wide area network (“WAN”), and the Internet.
The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be appreciated that the above described methods and apparatus may be varied in many ways, including omitting or adding steps, changing the order of steps and the type of devices used. It should be appreciated that different features may be combined in different ways. In particular, not all the features shown above in a particular embodiment or implementation are necessary in every embodiment or implementation of the invention. Further combinations of the above features and implementations are also considered to be within the scope of some embodiments or implementations of the invention.
While certain features of the described implementations have been illustrated as described herein, many modifications, substitutions, changes and equivalents will now occur to those skilled in the art. It is, therefore, to be understood that the appended claims are intended to cover all such modifications and changes as fall within the scope of the implementations. It should be understood that they have been presented by way of example only, not limitation, and various changes in form and details may be made. Any portion of the apparatus and/or methods described herein may be combined in any combination, except mutually exclusive combinations. The implementations described herein can include various combinations and/or sub-combinations of the functions, components and/or features of the different implementations described.
Systems and methods disclosed herein involve unconventional improvements over conventional approaches. Descriptions of the disclosed embodiments are not exhaustive and are not limited to the precise forms or embodiments disclosed. Modifications and adaptations of the embodiments will be apparent from consideration of the specification and practice of the disclosed embodiments. Additionally, the disclosed embodiments are not limited to the examples discussed herein.
The foregoing description has been presented for purposes of illustration. It is not exhaustive and is not limited to the precise forms or embodiments disclosed. Modifications and adaptations of the embodiments will be apparent from consideration of the specification and practice of the disclosed embodiments. For example, the described implementations include hardware and software, but systems and methods consistent with the present disclosure may be implemented as hardware alone.
It is appreciated that the above described embodiments can be implemented by hardware, or software (program codes), or a combination of hardware and software. If implemented by software, it can be stored in the above-described computer-readable media. The software, when executed by the processor can perform the disclosed methods. The computing units and other functional units described in the present disclosure can be implemented by hardware, or software, or a combination of hardware and software. One of ordinary skill in the art will also understand that multiple ones of the above described modules/units can be combined as one module or unit, and each of the above described modules/units can be further divided into a plurality of sub-modules or sub-units.
The block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer hardware or software products according to various example embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which includes one or more executable instructions for implementing the specified logical functions. It should be understood that in some alternative implementations, functions indicated in a block may occur out of order noted in the figures. For example, two blocks shown in succession may be executed or implemented substantially concurrently, or two blocks may sometimes be executed in reverse order, depending upon the functionality involved. Some blocks may also be omitted. It should also be understood that each block of the block diagrams, and combination of the blocks, may be implemented by special purpose hardware-based systems that perform the specified functions or acts, or by combinations of special purpose hardware and computer instructions.
In the foregoing specification, embodiments have been described with reference to numerous specific details that can vary from implementation to implementation. Certain adaptations and modifications of the described embodiments can be made. Other embodiments can be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. It is intended that the specification and examples be considered as example only, with a true scope and spirit of the invention being indicated by the following claims. It is also intended that the sequence of steps shown in figures are only for illustrative purposes and are not intended to be limited to any particular sequence of steps. As such, those skilled in the art can appreciate that these steps can be performed in a different order while implementing the same method.
It will be appreciated that the embodiments of the present disclosure are not limited to the exact construction that has been described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof.
Other embodiments will be apparent to those skilled in the art from consideration of the specification and practice of the disclosed embodiments disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosed embodiments being indicated by the following claims.
Computer programs based on the written description and methods of this specification are within the skill of a software developer. The various programs or program modules can be created using a variety of programming techniques. One or more of such software sections or modules can be integrated into a computer system, non-transitory computer readable media, or existing software.
This disclosure employs open-ended permissive language, indicating for example, that some embodiments “may” employ, involve, or include specific features. The use of the term “may” and other open-ended terminology is intended to indicate that although not every embodiment may employ the specific disclosed feature, at least one embodiment employs the specific disclosed feature.
Various terms used in the specification and claims may be defined or summarized differently when discussed in connection with differing disclosed embodiments. It is to be understood that the definitions, summaries and explanations of terminology in each instance apply to all instances, even when not repeated, unless the transitive definition, explanation or summary would result in inoperability of an embodiment.
Moreover, while illustrative embodiments have been described herein, the scope includes any and all embodiments having equivalent elements, modifications, omissions, combinations (e.g., of aspects across various embodiments), adaptations or alterations based on the present disclosure. The elements in the claims are to be interpreted broadly based on the language employed in the claims and not limited to examples described in the present specification or during the prosecution of the application. These examples are to be construed as non-exclusive. Further, the steps of the disclosed methods can be modified in any manner, including by reordering steps or inserting or deleting steps. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.
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