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What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents

Published: 17 September 2022 Publication History

Abstract

It is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users’ needs and requirements to develop and design IVIAs in terms of connectivity.

References

[1]
Kim, J., Jeong, M., & Lee, S. C. (2019). “Why did this voice agent not understand me?”: Error Recovery Strategy for In-Vehicle Voice User Interface. Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct Proceedings - AutomotiveUI ’19, 146–150. https://doi.org/10.1145/3349263.3351513
[2]
Kraus, J., Scholz, D., & Baumann, M. (2021). What's Driving Me? Exploration and Validation of a Hierarchical Personality Model for Trust in Automated Driving. Human Factors: The Journal of the Human Factors and Ergonomics Society, 63(6), 1076–1105. https://doi.org/10.1177/0018720820922653
[3]
Lee, S. C., Jeong, S., Wang, M., Hock, P., Baumann, M., & Jeon, M. (2021). “To Go or Not To Go? That is the Question”: When In-Vehicle Agents Argue with Each Other. 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 223–224. https://doi.org/10.1145/3473682.3481876
[4]
Lee, S. C., & Jeon, M. (2022). A systematic review of functions and design features of in-vehicle agents. International Journal of Human-Computer Studies, 165(May), 102864. https://doi.org/10.1016/j.ijhcs.2022.102864
[5]
Wang, M., Hock, P., Lee, S. C., Baumann, M., & Jeon, M. (2021). Genie vs. Jarvis: Characteristics and Design Considerations of In-Vehicle Intelligent Agents. 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 197–199. https://doi.org/10.1145/3473682.3479720
[6]
Wang, M., Lee, S. C., Kamalesh Sanghavi, H., Eskew, M., Zhou, B., & Jeon, M. (2021). In-Vehicle Intelligent Agents in Fully Autonomous Driving: The Effects of Speech Style and Embodiment Together and Separately. 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 247–254. https://doi.org/10.1145/3409118.3475142
[7]
Wang, M., Hock, P., Lee, S. C., Baumann, M., & Jeon, M. (2022). Jarvis in the car: Report on characterizing and designing in-vehicle intelligent agent workshop. Proceedings of the Human Factors and Ergonomics Society's 2022 International Annual Meeting (HFES2022), Atlanta, GA, October 10-12.

Cited By

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  • (2024)Development and validation of automated driving behavior questionnaire (ADBQ)Transportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2024.05.014103(608-622)Online publication date: May-2024
  • (2024)Development and classification of autonomous vehicle’s ambiguous driving scenarioAccident Analysis & Prevention10.1016/j.aap.2024.107501200(107501)Online publication date: Jun-2024

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cover image ACM Conferences
AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2022
225 pages
ISBN:9781450394284
DOI:10.1145/3544999
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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Published: 17 September 2022

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Author Tags

  1. Automated Vehicle
  2. In-Vehicle Driving Agents
  3. Intelligent Agents
  4. Multiple Agents

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Cited By

View all
  • (2024)Development and validation of automated driving behavior questionnaire (ADBQ)Transportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2024.05.014103(608-622)Online publication date: May-2024
  • (2024)Development and classification of autonomous vehicle’s ambiguous driving scenarioAccident Analysis & Prevention10.1016/j.aap.2024.107501200(107501)Online publication date: Jun-2024

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