A Design Engineering Approach for Quantitatively Exploring Context-Aware Sentence Retrieval for Nonspeaking Individuals with Motor Disabilities

Per Ola Kristensson, James Lilley, Rolf Black, Annalu Waller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Downloads (Pure)

Abstract

Nonspeaking individuals with motor disabilities typically have very low communication rates. This paper proposes a design engineering approach for quantitatively exploring contextaware sentence retrieval as a promising complementary input interface, working in tandem with a word-prediction keyboard. We motivate the need for complementary design engineering methodology in the design of augmentative and alternative communication and explain how such methods can be used to gain additional design insights. We then study the theoretical performance envelopes of a context-aware sentence retrieval system, identifying potential keystroke savings as a function of the parameters of the subsystems, such as the accuracy of the underlying auto-complete word prediction algorithm and the accuracy of sensed context information under varying assumptions. We find that context-aware sentence retrieval has the potential to provide users with considerable improvements in keystroke savings under reasonable parameter assumptions of the underlying subsystems. This highlights how complementary design engineering methods can reveal additional insights into design for augmentative and alternative communication.
Original languageEnglish
Title of host publicationCHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages11
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - Apr 2020
EventCHI 2020: Conference on Human Factors in Computing Systems - Hawaiʻi Convention Center, Oahu, United States
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceCHI 2020
Abbreviated titleCHI 2020
CountryUnited States
CityOahu
Period25/04/2030/04/20
Internet address

Keywords

  • Augmentative and alternative communication
  • design engineering
  • text entry
  • context-aware text entry
  • sentence prediction
  • information retrieval
  • augmentative and alternative communication

Fingerprint Dive into the research topics of 'A Design Engineering Approach for Quantitatively Exploring Context-Aware Sentence Retrieval for Nonspeaking Individuals with Motor Disabilities'. Together they form a unique fingerprint.

  • Best Paper

    Per Ola Kristensson (Recipient), James Lilley (Recipient), Black, Rolf (Recipient) & Waller, Annalu (Recipient), 6 Mar 2020

    Prize: Prize (including medals and awards)

    File

Cite this