skip to main content
10.1145/3349263.3351513acmconferencesArticle/Chapter ViewAbstractPublication PagesautomotiveuiConference Proceedingsconference-collections
Work in Progress

"Why did this voice agent not understand me?": error recovery strategy for in-vehicle voice user interface

Published:21 September 2019Publication History

ABSTRACT

We aimed at investigating the effects of error recovery strategy that could enable the drivers to recover from the non-understanding error when interacting with the in-vehicle voice user interface (VUI). An experiment using a driving simulator was conducted with forty-seven participants who performed driving tasks with the VUI. One of three different error recovery strategies (ask repeat, re-prompt, and you can say) was suggested to recover from the non-understanding errors. A subjective questionnaire and semi-structured interviews were used to collect the participants' workload, perceived reasons for errors, and preference. Results showed participants felt that 'you can say' was more difficult than the 're-prompt' condition. However, preferences of 'ask repeat' and 'you can say' were significantly higher than 're-prompt' because the perceived reason for the non-understanding was 'input error' when the system used the 're-prompt' method. These findings provide insights into the design of the VUI in the context of driving.

References

  1. Dan Bohus and AIexander Rudnicky. 2005. Sorry, I Didn't Catch That! - An Investigation of Non-understanding Errors and Recovery Strategies. 6th SIGdial Workshop on Discourse and Dialogue. http://www.iscaspeech.org/archiveGoogle ScholarGoogle Scholar
  2. Julie Goldberg, Mari Ostendorf, and Katrin Kirchhoff. 2003. The Impact of Response Wording in Error Correction Subdialogs. In ISCA Tutorial and Research Workshop on Error Handling in Spoken Dialogue Systems. http://www.isca-speech.org/archiveGoogle ScholarGoogle Scholar
  3. Hwan Hwangbo, Seul Chan Lee, and Yong Gu Ji. 2016. Complexity Overloaded in Smart Car: How to Measure Complexity of In-vehicle Displays and Controls? Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: 81--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Dasom Lee, Young June Sah, and Sangwon Lee. 2018. Improving Usability Perception of Error-Prone AI Speakers: Elaborated Feedback Mitigates Negative Consequences of Errors. International Journal of Human-Computer Interaction. Google ScholarGoogle ScholarCross RefCross Ref
  5. John D. Lee, Daniel V. McGehee, Timothy L. Brown, and Michelle L. Reyes. 2005. Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator. Human Factors: The Journal of the Human Factors and Ergonomics Society 44, 2: 314--334. Google ScholarGoogle ScholarCross RefCross Ref
  6. Seul Chan Lee and Yong Gu Ji. 2019. Complexity of In-Vehicle Controllers and Their Effect on Task Performance. International Journal of Human-Computer Interaction 35, 1: 65--74. Google ScholarGoogle ScholarCross RefCross Ref
  7. Susan Mcroy. 1998. Preface: Detecting, repairing and preventing human --- machine miscommunication. International Journal of Human-Computer Studies 48, 5: 547--552. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Chelsea Myers, Anushay Furqan, Jessica Nebolsky, Karina Caro, and Jichen Zhu. 2018. Patterns for How Users Overcome Obstacles in Voice User Interfaces. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, January: 1--7. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. David L Strayer, Jonna Turrill, James R Coleman, Emily V Ortiz, and Joel M Cooper. 2014. Measuring Cognitive Distraction in the Automobile II: Assessing In-Vehicle Voice-Based Interactive Technologies. Retrieved from http://web.csulb.edu/~rfritz/aaa-driving-study.pdfGoogle ScholarGoogle Scholar
  10. Amazon Web Services. 2019, Amazon Polly. Retrieved May 10, 2019 from https://aws.amazon.com/pollyGoogle ScholarGoogle Scholar

Index Terms

  1. "Why did this voice agent not understand me?": error recovery strategy for in-vehicle voice user interface

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      AutomotiveUI '19: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings
      September 2019
      524 pages
      ISBN:9781450369206
      DOI:10.1145/3349263

      Copyright © 2019 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 September 2019

      Check for updates

      Qualifiers

      • Work in Progress

      Acceptance Rates

      Overall Acceptance Rate248of566submissions,44%

      Upcoming Conference

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader