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

Published: 21 September 2019 Publication 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

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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/archive
[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/archive
[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.
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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.
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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.
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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.
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Susan Mcroy. 1998. Preface: Detecting, repairing and preventing human --- machine miscommunication. International Journal of Human-Computer Studies 48, 5: 547--552.
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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.
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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.pdf
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Cited By

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  • (2024)VOICON: Geometric Motion-Based Visual Feedback in Voice User InterfaceProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660741(102-115)Online publication date: 1-Jul-2024
  • (2024)Effect of Speech Entrainment in Human-Computer Conversation: A ReviewIntelligent Human Computer Interaction10.1007/978-3-031-53827-8_4(32-43)Online publication date: 29-Feb-2024
  • (2023)Increasing Transparency to Design Inclusive Conversational Agents (CAs): Perspectives and Open IssuesProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3604304(1-4)Online publication date: 19-Jul-2023
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  1. "Why did this voice agent not understand me?": error recovery strategy for in-vehicle voice user interface

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    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
    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.

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    Publication History

    Published: 21 September 2019

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    Author Tags

    1. VUI error
    2. error recovery strategy
    3. voice user interface (VUI)

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    Cited By

    View all
    • (2024)VOICON: Geometric Motion-Based Visual Feedback in Voice User InterfaceProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660741(102-115)Online publication date: 1-Jul-2024
    • (2024)Effect of Speech Entrainment in Human-Computer Conversation: A ReviewIntelligent Human Computer Interaction10.1007/978-3-031-53827-8_4(32-43)Online publication date: 29-Feb-2024
    • (2023)Increasing Transparency to Design Inclusive Conversational Agents (CAs): Perspectives and Open IssuesProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3604304(1-4)Online publication date: 19-Jul-2023
    • (2023)Research on Error Handling Techniques for Speech Interaction2023 IEEE 3rd International Conference on Computer Systems (ICCS)10.1109/ICCS59700.2023.10335595(16-20)Online publication date: 22-Sep-2023
    • (2023)Failing with Grace: Exploring the Role of Repair Costs in Conversational Breakdowns with in-Car Voice AssistantsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.226679140:22(7574-7592)Online publication date: 11-Oct-2023
    • (2023)Context Matters: Understanding the Effect of Usage Contexts on Users’ Modality Selection in Multimodal SystemsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.225060640:20(6287-6302)Online publication date: 29-Aug-2023
    • (2023)The Unit and Size of Information Supporting Auditory Feedback for Voice User InterfaceInternational Journal of Human–Computer Interaction10.1080/10447318.2023.217921440:12(3071-3080)Online publication date: 19-Feb-2023
    • (2022)What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized AgentsAdjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3544999.3550153(199-200)Online publication date: 17-Sep-2022
    • (2022)A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature ReviewProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346176:2(1-51)Online publication date: 7-Jul-2022
    • (2022)Automatically Generating and Improving Voice Command Interface from Operation Sequences on SmartphonesProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517459(1-21)Online publication date: 29-Apr-2022
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