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Updated: Jun 28, 2026

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
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An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

Performance models for automatic evaluation of virtual scanning keyboards.

Samit Bhattacharya1, Debasis Samanta, Anupam Basu

  • 1Indian Institute of Technology Kharagpur, Kharagpur-721 302, India. samit3k@gmail.com

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|November 8, 2008
PubMed
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This study introduces performance models for virtual scanning keyboards, aiding designers in selecting optimal designs for augmentative communication. These models offer a valid, automatic evaluation method, improving accessibility for individuals with speech and motion impairments.

Area of Science:

  • Human-Computer Interaction
  • Assistive Technology
  • Rehabilitation Engineering

Background:

  • Virtual scanning keyboards are crucial augmentative communication aids for individuals with severe speech and motion impairments.
  • Evaluating and comparing different virtual scanning keyboard designs is challenging for developers.
  • Existing evaluation methods lack comprehensive performance modeling.

Purpose of the Study:

  • To present novel performance models for virtual scanning keyboards.
  • To enable automatic evaluation and comparison of alternative keyboard designs.
  • To address limitations in current performance modeling approaches for these devices.

Main Methods:

  • Development of new performance models specifically for virtual scanning keyboards.

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  • Comparison of model predictions against empirical data from user trials.
  • Validation of the proposed models' accuracy and utility.

    • Main Results:

    • The developed performance models accurately predict virtual scanning keyboard efficiency.
    • Model predictions showed strong correlation with user trial outcomes.
    • The models effectively address limitations found in previous research.

    Conclusions:

    • The proposed performance models provide a valid and automated method for evaluating virtual scanning keyboards.
    • These models can significantly assist designers in choosing superior keyboard designs.
    • This work enhances the development of effective assistive technologies for communication impairments.