Visual aided speech interface to reduce driver distraction

Guiyoung Kim, Yong Gu Ji

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

Abstract

Speech interfaces are increasingly finding their way in many different forms and used in a varied environment. It is also frequently used in the context of driving. The speech interface may advantage driving performance but it can also be distracting. To overcome the weakness of the speech interface, the present study aimed at finding the adequate 1) speech output (granularity of speech, clustering method) and 2) speech-aided visualization output (length of speech, voice pairing motion) in reducing cognitive load while driving.

Original languageEnglish
Title of host publicationAdjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019
PublisherAssociation for Computing Machinery, Inc
Pages205-208
Number of pages4
ISBN (Electronic)9781450369206
DOIs
Publication statusPublished - 2019 Sep 21
Event11th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 - Utrecht, Netherlands
Duration: 2019 Sep 212019 Sep 25

Publication series

NameAdjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019

Conference

Conference11th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019
CountryNetherlands
CityUtrecht
Period19/9/2119/9/25

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Artificial Intelligence

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  • Cite this

    Kim, G., & Ji, Y. G. (2019). Visual aided speech interface to reduce driver distraction. In Adjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 (pp. 205-208). (Adjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3349263.3351912