AUTOMATIC ADAPTATION EXPERTS FOR COMPUTER ACCESS AND AAC

Information

  • Research Project
  • 2715913
  • ApplicationId
    2715913
  • Core Project Number
    R43HD035773
  • Full Project Number
    1R43HD035773-01A1
  • Serial Number
    35773
  • FOA Number
  • Sub Project Id
  • Project Start Date
    9/30/1998 - 27 years ago
  • Project End Date
    2/29/2000 - 26 years ago
  • Program Officer Name
  • Budget Start Date
    9/30/1998 - 27 years ago
  • Budget End Date
    2/29/2000 - 26 years ago
  • Fiscal Year
    1998
  • Support Year
    1
  • Suffix
    A1
  • Award Notice Date
    9/30/1998 - 27 years ago
Organizations

AUTOMATIC ADAPTATION EXPERTS FOR COMPUTER ACCESS AND AAC

Optimizing the fit between an assistive technology and its user is critical for maximizing the performance with that technology. Both the clinician who recommends an assistive technology and that assistive technology itself share the responsibility for making certain that the client's needs are matched as closely as possible. We propose to develop software-based "adaptation experts that can be implemented within existing (and future) computer-access software and augmentative communication systems. Each adaptation expert will be responsible for determining the value of a specific parameter within its particular computer access or augmentative communication system. In Phase I, adaptation experts will be implemented for a word prediction system. These adaptation experts will be evaluated during clinical trials by both users and clinicians active in computer access and augmentative communication. During Phase II adaptation experts will be implemented for additional input (e.g., row/column scanning, Morse code) and text entry rate enhancement (e.g., abbreviation expansion) techniques. PROPOSED COMMERCIAL APPLICATION: The adaptation experts developed during Phase I will be useful for a variety of computer access software and augmentative communication systems that currently make use of word prediction. An additional application of the adaptation experts developed during this research is within a clinical assessment tool. In this role, the adaptation experts will identify an optimal configuration for a word prediction interface based on a user's abilities. Additional adaptation experts, developed during Phase II, will increase the applications in which the adaptation expert approach will be a viable alternative.

IC Name
EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT
  • Activity
    R43
  • Administering IC
    HD
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    865
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    ZRG7
  • Study Section Name
  • Organization Name
    METRICA, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    SAN ANTONIO
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    782176363
  • Organization District
    UNITED STATES