Executive functions are cognitive processes that control other brain activities and are predominantly active in the prefrontal cortex in the brain. Executive functions underlie functions such as self-evaluation, planning, problem solving, controlling impulses and attention, and strategic selection and sequencing of behavior to reach desired goals.
Working memory is the ability to mentally operate on immediately available information while persisting this information for later potential encoding into long-term memory. A considerable body of neuroscience research relates working memory capacity to other cognitive abilities such as fluid intelligence. Individuals with strong working memory capacities are more likely to succeed in education and professional environments. Enhancing this capacity is highly desirable.
Researchers have used complex working memory tasks to measure and train the domain-general memory capacity. However, these tasks typically involve separate items for retrieval and processing (e.g., solve a math problem while remembering an unrelated number or remembering the locations of objects in the order of the numbers printed on them). These designs lack ecological validity, in that most real world tasks involving memory and control of attention involve operating on the same items that are to be remembered. Organic uses of complex working memory like this activate prefrontal cortex in a robust and ecologically relevant manner. They also have the advantage of being relatively easy tasks to understand, unlike the unnatural operations in most complex working memory tasks.
There have been a number of attempts to develop programs to enhance working memory capacity. For example, Cogmed Inc. has developed several variants of working memory training aimed at enhancing cognition in children with a particular focus on reducing the burden of attention deficit hyperactivity disorder (ADHD). See, KLINGBERG, et al., Journal of Clinical and Experimental Neuropsychology 24 (6 )2002. Jaeggi and colleagues have shown that training on a challenging working memory task—called the dual n-back—improves users' performance on measures of fluid intelligence. See, JAEGGI, “Improving fluid intelligence with training on working memory,” Proc. Nat'l Acad. Sci., 105 (19 ): 6829-6833 (2008). These promising approaches demonstrate the appeal of working memory training; however, they are not without their limitations. Most working memory tasks do not engage a user's decision-making process. One exception is known as the self-ordered pointing task, a task in which users choose which objects to remember. See, PETRIDES, “Deficits on subject-ordered tasks after frontal-and temporal-lobe lesions in man,” Neuropsychologia, 20:249-262(1982).
Beyond working memory, performance on the self-ordered pointing task has been found to correlate with measures of sorting and set shifting, verbal learning, visuospatial ability, strategy utilization, and planning See, ROSS, et al., “The reliability and validity of the self-ordered pointing task, ” Arch. Clin. Neuropsychology. 22(4) 449-458(2007); and HONGWANISHKUL, et al., “Assessment of hot and cool executive function in young children: age-related changes and individual differences,” Dev. Neuropsych. 28(2). 617-44(2005). However, the traditional self-ordered pointing task is of limited use in cognitive training due to the limited number of items that users must remember.
Disclosed are cognitive training exercises capable of training working memory systems of a user in an intuitive, engaging, and adaptively challenging way to enhance cognition. The exercises engage users in tasks where the user identifies an object not previously chosen. As users progress through sequential rounds, difficulty of the training is increased by decreasing the uniqueness of objects. Decreasing the number of unique objects results in fewer and fewer unique objects being presented to the user on the user interface display. Increasing the number of unique objects results in more and more unique objects being presented to the user on the user interface display. Each of the objects presented during the training exercise has one or more unique characteristics such that each item presented is unique. Unique objects can be presented more than once during the training exercise and can have some overlapping features while still being unique.
Cognitive training exercises are administered to a user by a computing device in one or more use sessions which train the working memory of the user, the training exercises are configurable to dynamically train the working memory of the user. Additionally, the complexity of future exercises administered to a user are dynamically adjusted which allows the system to improve assessment and training of the working memory of a user.
An aspect of the disclosure is directed to a method of enhancing a cognitive ability of a user. Suitable methods comprise the steps of: conducting, via a user interface display of a user computing device, a training session comprising: presenting, via the user interface display of the user computing device, a first plurality of unique items; allowing the user, via the user interface display of the user computing device, to select one of the first plurality of unique items presented; presenting, via the user interface display of the user computing device, a subsequent plurality of items wherein at least one previously selected item is presented along with at least one or one or more subsequent unique items; allowing the user, via the user interface display of the user computing device, to select one of the subsequent plurality of items presented; and providing feedback to the user, via the user interface display of the user computing device. In some configurations, the feedback is correct when one of the at least one or one or more subsequent unique items is selected by the user from the subsequent plurality of items. As will be appreciated by those of skill in the art, no upper limit of unique items presented at any time need be present. However, a plurality of items presented can be two or more items, three or more items, four or more items, five or more, six or more, and so on. Additionally, the number of unique items can decrease over the performance of an exercise to accommodate, for example, space on the visual display to place an item, etc. Thus, for example, where a user is approaching an end to a perfect game the number of unique items could be two or one. Additionally, the feedback is incorrect when the item selected is one of a previously selected item. The method can also comprise: repeating the steps of presenting the subsequent plurality of items, allowing the user to select one of the subsequent plurality of items, and providing a feedback to the user. In at least some configurations, the first plurality of unique items is three unique items. Other numbers of unique items can be presented at each stage without departing from the scope of the disclosure. Once presented, in some configurations, unselected unique items are place into a queue. Placement in the queue can be serial placement or random placement. A complexity of the training session can be determinable by the user computing device evaluating a number of times a subsequent plurality of unique items is presented to the user via the user interface display of the user computing device. Additionally, in some at least configurations, increasing or decreasing, via the user computing device, a complexity of the training session according to a user performance during the training session.
Another aspect of the disclosure is directed to an apparatus for enhancing a cognitive ability of a user which comprises: a user computing device configured to: conduct a training session, utilizing a user interface display of the user computing device, comprising: presenting, via the user interface display of the user computing device, a first plurality of unique items; allowing the user, via the user interface display of the user computing device, to select one of the first plurality of unique items presented; presenting, via the user interface display of the user computing device, a subsequent plurality of unique items wherein at least the selected item is presented; allowing the user, via the user interface display of the user computing device, to select one of the subsequent plurality of unique items presented; and providing feedback to the user, via the user interface display of the user computing device. In some configurations, the feedback is correct when one of the at least one or one or more subsequent unique items is selected by the user from the subsequent plurality of items. Additionally, the feedback is incorrect when the item selected is one of a previously selected item. The apparatus can also be configured to: repeating the steps of presenting the subsequent plurality of items, allowing the user to select one of the subsequent plurality of items, and providing a feedback to the user. In at least some configurations, the first plurality of unique items is three unique items. Other numbers of unique items can be presented at each stage without departing from the scope of the disclosure. Once presented, in some configurations, unselected unique items are place into a queue. Placement in the queue can be serial placement or random placement. A complexity of the training session can be determinable by the user computing device evaluating a number of times a subsequent plurality of unique items is presented to the user via the user interface display of the user computing device. Additionally, in some at least configurations, increasing or decreasing, via the user computing device, a complexity of the training session according to a user performance during the training session.
Still other aspects of the disclosure are directed to a non-transitory computer readable storage medium tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining a method comprising: determining, by the processor, a training session to assess cognitive ability of a user operating a client device, the cognitive ability assessment comprising presenting, via the user interface display of the user computing device, a first plurality of unique items; allowing the user, via the user interface display of the user computing device, to select one of the first plurality of unique items presented; presenting, via the user interface display of the user computing device, a subsequent plurality of unique items wherein at least the selected item is presented; allowing the user, via the user interface display of the user computing device, to select one of the subsequent plurality of unique items presented; and providing feedback to the user, via the user interface display of the user computing device.
Yet another aspect of the disclosure are directed to a non-transitory computer readable storage medium tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining a method comprising: determining, by the processor, a training session to assess cognitive ability of a user operating a client device, the cognitive ability assessment comprising transmitting, by the processor to the client device, a selection from the plurality of unique items; receiving, by the processor and from the user via the client device, the selected unique items; determining, by the processor, whether the selected unique item is the same as a previously selected unique item; and transmitting, by the processor to the client device, an indication as to whether the selection is correct.
Additionally, the disclosure is directed to an apparatus for enhancing a cognitive ability of a user, comprising: a user computing device means including a means for conduct a training session, utilizing a user interface display means of the user computing device means, comprising: the user computing device means including a means for presenting on the user interface display means a first plurality of unique items, the user interface display means further comprising a means for displaying to the user a subsequent plurality of unique items wherein at least a selected item from the first plurality of unique items is presented; the user computing device means including a means for allowing the user, utilizing the user interface display means to select one of the subsequent items. In some configurations the user feedback is correct when one of the at least one or one or more subsequent unique items is selected by the user from the subsequent plurality of items. Additionally, the feedback is incorrect when the item selected is one of a previously selected item. Additionally, aspects of the disclosure include the steps of repeating the steps of presenting the subsequent plurality of unique items, allowing the user to select one of the subsequent plurality of unique items, and providing feedback to the user. In at least some configurations, the first plurality of unique items is three unique items. Additionally, unselected unique items can be placed at any position within a queue of items to be presented. A complexity of the training session is determined by the user computing device from a number of times the subsequent plurality of unique items is not equal to the unique item selected from the first plurality of unique items. The complexity of the training can be increased or decreased, via the user computing device means, the complexity of the training session according to a user performance during the training session.
All publications, patents, and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, or patent application was specifically and individually indicated to be incorporated by reference.
The novel features of the disclosure are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present disclosure will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the disclosure are utilized, and the accompanying drawings of which:
An aspect of the disclosed exercises provide a gameplay mechanism wherein a user operating a computing device selects an object displayed on a computer screen associated with the computing device that has not been previously selected from ever-growing sets of objects. In an implementation, the objects are represented as items that may be found on a beach or along a seashore, though a variety of other physical representations could be substituted. From the chosen set of objects, some objects are drawn from a larger set. This selection could be random or ordered based on previous trials to encourage or discourage memory interference. To begin a trial, a plurality of unique objects (e.g., three in this illustration) are generated by the computing device and presented to the user on a display. The plurality of unique objects can be presented at random locations on the screen. These unique objects can, for example, appear on an orthogonal grid in some implementations. In other implementations the layout of the unique objects on the screen is not limited to a grid. Additionally, or in an alternative embodiment, the unique objects can be presented at one or more spatial orientations to encourage users to remember the general shape and features of the object. The spatial orientation of a unique object at a first visual presentation can vary from the spatial orientation at a second or subsequent visual presentation.
As shown in
After the user selects a first unique object, the grid or screen of objects (such as shown in
In some configurations, three new items are presented with one or more of the previously presented and chosen item, although more or fewer can be provided without departing from the scope of the disclosure. Additionally, as discussed above, the new items could be chosen randomly, along with the user's chosen object.
Thus, from the screen presented to the user in
In this case, as shown in
In the event of an incorrect answer by the user, an indicator 138 is displayed over the selected incorrect items (for example, a red “X”) and the correct answers are highlighted. As shown in
A summary can be presented to the user as shown in
Turning to
Several rounds may be played in a single game session or user session in order to extend the exercise and modulate difficulty. As shown in
In an implementation, the user progresses through three rounds. With each subsequent round, the shapes of unique objects available to be visually presented on the screen in a set become more similar and abstract, making it more difficult for the player to label, compartmentalize, and memorize the chosen objects. For example, in an implementation, a first level includes three distinct objects as shown in
The user can be introduced to the training exercise via a short interactive tutorial describing the gameplay elements. As shown in
Another tutorial flow 1100 is shown in
After a number of successful trials in the tutorial, the system presents the player with a screen 1010 that invites the user to start the game as shown in
Progress such as the number of correct objects selected and round number is displayed unobtrusively to the user during trials using a heads-up display 160 shown in
In engaging the systems and methods according to aspects of the disclosed subject matter the user may engage in one or more use sessions. Each use session may include a training session and/or one or more rounds of gameplay. Each gameplay may include one or more trials, where each trial is represented, for example, by a beach. As illustrated above, for example, each gameplay consists of three trials. For each use session involving a gameplay, performance data for the user for each gameplay and each use session is stored. Performance data may be compared from one or more use sessions, gameplays, or trials within a gameplay to determine a difficulty level of a future trial or gameplay. The difficulty level may be determined real-time at the completion of a session, a round of gameplay, or at the commencement of a session or a round of gameplay.
The systems and methods according to aspects of the disclosed subject matter may utilize a variety of computer and computing systems, communications devices, networks and/or digital/logic devices for operation. Each may, in turn, be configurable to utilize a suitable computing device which can be manufactured with, loaded with and/or fetch from some storage device, and then execute, instructions that cause the computing device to perform a method according to aspects of the disclosed subject matter.
A computing device can include without limitation a mobile user device such as a mobile phone, a smart phone and a cellular phone, a personal digital assistant (“PDA”), such as a BlackBerry®, iPhone®, a tablet, a laptop and the like. In at least some configurations, a user can execute a browser application over a network, such as the Internet, to view and interact with digital content, such as screen displays. A display includes, for example, an interface that allows a visual presentation of data from a computing device. Access could be over or partially over other forms of computing and/or communications networks. A user may access a web-browser, e.g., to provide access to applications and data and other content located on a web-site or a web-page of a web-site.
A suitable computing device may include a processor to perform logic and other computing operations, e.g., a stand-alone computer processing unit (“CPU”), or hard wired logic as in a microcontroller, or a combination of both, and may execute instructions according to its operating system and the instructions to perform the steps of the method, or elements of the process. The user's computing device may be part of a network of computing devices and the methods of the disclosed subject matter may be performed by different computing devices associated with the network, perhaps in different physical locations, cooperating or otherwise interacting to perform a disclosed method. For example, a user's portable computing device may run an app alone or in conjunction with a remote computing device, such as a server on the Internet. For purposes of the present application, the term “computing device” includes any and all of the above discussed logic circuitry, communications devices and digital processing capabilities or combinations of these.
Certain embodiments of the disclosed subject matter may be described for illustrative purposes as steps of a method which may be executed on a computing device executing software, and illustrated, by way of example only, as a block diagram of a process flow. Such may also be considered as a software flow chart. Such block diagrams and like operational illustrations of a method performed or the operation of a computing device and any combination of blocks in a block diagram, can illustrate, as examples, software program code/instructions that can be provided to the computing device or at least abbreviated statements of the functionalities and operations performed by the computing device in executing the instructions. Some possible alternate implementation may involve the function, functionalities and operations noted in the blocks of a block diagram occurring out of the order noted in the block diagram, including occurring simultaneously or nearly so, or in another order or not occurring at all. Aspects of the disclosed subject matter may be implemented in parallel or seriatim in hardware, firmware, software or any combination(s) of these, co-located or remotely located, at least in part, from each other, e.g., in arrays or networks of computing devices, over interconnected networks, including the Internet, and the like.
The instructions may be stored on a suitable “machine readable medium” within a computing device or in communication with or otherwise accessible to the computing device. As used in the present application a machine readable medium is a tangible storage device and the instructions are stored in a non-transitory way. At the same time, during operation, the instructions may at some times be transitory, e.g., in transit from a remote storage device to a computing device over a communication link. However, when the machine readable medium is tangible and non-transitory, the instructions will be stored, for at least some period of time, in a memory storage device, such as a random access memory (RAM), read only memory (ROM), a magnetic or optical disc storage device, or the like, arrays and/or combinations of which may form a local cache memory, e.g., residing on a processor integrated circuit, a local main memory, e.g., housed within an enclosure for a processor of a computing device, a local electronic or disc hard drive, a remote storage location connected to a local server or a remote server access over a network, or the like. When so stored, the software will constitute a “machine readable medium,” that is both tangible and stores the instructions in a non-transitory form. At a minimum, therefore, the machine readable medium storing instructions for execution on an associated computing device will be “tangible” and “non-transitory” at the time of execution of instructions by a processor of a computing device and when the instructions are being stored for subsequent access by a computing device.
While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.
This application claims the benefit of U.S. Provisional Application No. 61/921,124, filed Dec. 27, 2013, entitled “Systems and Methods for a Self-Directed Working Memory Task for Enhanced Cognition” by Hinman et al., which application is incorporated herein by reference.
Number | Date | Country | |
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61921124 | Dec 2013 | US |