extended-abstract

Genie vs. Jarvis: Characteristics and Design Considerations of In-Vehicle Intelligent Agents

Authors:

Martin Baumann,

Myounghoon JeonAuthors Info & Claims

AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 197 - 199

https://doi.org/10.1145/3473682.3479720

Published: 22 September 2021 Publication History

Abstract

Intelligent agents (IAs) have been widely used at home and have been gradually introduced into driving contexts. While many studies researched agent features and their influences on user perception toward in-vehicle agents (IVAs), what attributes make IVAs unique and how people perceive them differently from at-home agents remain unclear. Therefore, the proposed workshop aims to bring up a discussion among researchers and practitioners worldwide to contribute insights to a list of characteristics and design considerations for in-vehicle intelligent agents. Features specialized in IVAs will also be discussed in the workshop, along with the preference for the agent form. We expect to extract innovative research and design considerations to benefit IVA research and the AutomotiveUI community.

References

[1]

Jiayuan Dong, Emily Lawson, Jack Olsen, and Myounghoon Jeon. 2020. Female voice agents in fully autonomous vehicles are not only more likeable and comfortable, but also more competent. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, 1: 1033–1037. https://doi.org/10.1177/1071181320641248

[2]

Ashraf Gaffar and Shokoufeh Monjezi Kouchak. 2018. Using simplified grammar for voice commands to decrease driver distraction. March.

[3]

Philipp Hock, Johannes Kraus, Marcel Walch, Nina Lang, and Martin Baumann. 2016. Elaborating feedback strategies for maintaining automation in highly automated driving. AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Proceedings: 105–112. https://doi.org/10.1145/3003715.3005414

[4]

Myounghoon Jeon. 2015. Towards affect-integrated driving behaviour research. Theoretical Issues in Ergonomics Science 16, 6: 553–585. https://doi.org/10.1080/1463922X.2015.1067934

[5]

Ing-Marie Jonsson, Clifford Nass, Jack Endo, Ben Reaves, Helen Harris, Janice Le Ta, Nicholas Chan, and Sean Knapp. 2004. Don't blame me I am only the driver: Impact of blame attribution on attitudes and attention to driving task. In Extended abstracts of the 2004 conference on Human factors and computing systems - CHI ’04, 1219–1222. https://doi.org/10.1145/985921.986028

[6]

Ing-Marie Jonsson, Mary Zajicek, Helen Harris, and Clifford Nass. 2005. Thank you, I did not see that: in-car speech based information systems for older adults. In CHI ’05 extended abstracts on Human factors in computing systems - CHI ’05, 1953. https://doi.org/10.1145/1056808.1057065

[7]

Yeon Kyoung Joo and Jong Eun Roselyn Lee. 2014. Can “the voices in the car” persuade drivers to go green?: Effects of benefit appeals from in-vehicle voice agents and the role of drivers’ affective states on eco-driving. Cyberpsychology, Behavior, and Social Networking 17, 4: 255–261. https://doi.org/10.1089/cyber.2013.0157

[8]

Jihyun Kim, Meuel Jeong, and Seul Chan Lee. 2019. “Why did this voice agent not understand me?”: Error recovery strategy for in-vehicle voice user interface. Adjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019: 146–150. https://doi.org/10.1145/3349263.3351513

Digital Library

[9]

Johannes Maria Kraus, Florian Nothdurft, Philipp Hock, David Scholz, Wolfgang Minker, and Martin Baumann. 2016. Human after all: Effects of mere presence and social interaction of a humanoid robot as a co-driver in automated driving. AutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings: 129–134. https://doi.org/10.1145/3004323.3004338

[10]

Johannes Maria Kraus, Jessica Sturn, Julian Elias Reiser, and Martin Baumann. 2015. Anthropomorphic agents, transparent automation and driver personality: Towards an integrative multi-level model of determinants for effective driver-vehicle cooperation in highly automated vehicles. In Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI ’15, 8–13. https://doi.org/10.1145/2809730.2809738

Digital Library

[11]

Seul Chan Lee, Sangjin Ko, Harsh Sanghavi, and Myounghoon Jeon. 2019. Autonomous driving with an agent: Speech style and embodiment. Adjunct Proceedings - 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019: 209–214. https://doi.org/10.1145/3349263.3351515

Digital Library

[12]

Salvatore March, Alan Hevner, and Sudha Ram. 2000. Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments. Information Systems Research 11, 4: 327–341. https://doi.org/10.1287/isre.11.4.327.11873

Digital Library

[13]

Lin Padgham and Michael Winikoff. 2005. Agents and Multi-Agent Systems. In Developing Intelligent Agent Systems, Michael Wooldridge (ed.). John Wiley & Sons, Ltd, Chichester, UK, 1–6. https://doi.org/10.1002/0470861223.ch1

[14]

Kenton Williams and Cynthia Breazeal. 2013. Reducing driver task load and promoting sociability through an Affective Intelligent Driving Agent (AIDA). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8120 LNCS, PART 4: 619–626. https://doi.org/10.1007/978-3-642-40498-6_53

[15]

Priscilla N.Y. Wong, Duncan P. Brumby, Harsha Vardhan Ramesh Babu, and Kota Kobayashi. 2019. “Watch out!” Semi-autonomous vehicles using assertive voices to grab distracted drivers’ attention. Conference on Human Factors in Computing Systems - Proceedings: 5–10. https://doi.org/10.1145/3290607.3312838

Digital Library

Cited By

Demir CMeschtscherjakov AGärtner M(2024)Unlocking Trust and Acceptance in Tomorrow’s Ride: How In-Vehicle Intelligent Agents Redefine SAE Level 5 AutonomyMultimodal Technologies and Interaction10.3390/mti81201118:12(111)Online publication date: 17-Dec-2024
https://doi.org/10.3390/mti8120111
Wang MHock PChan Lee SBaumann MJeon M(2022)Jarvis in the car: Report on characterizing and designing in-vehicle intelligent agents workshopProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118132266144566:1(948-952)Online publication date: 27-Oct-2022
https://doi.org/10.1177/1071181322661445

Genie vs. Jarvis: Characteristics and Design Considerations of In-Vehicle Intelligent Agents
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence

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cover image ACM Conferences

AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2021

234 pages

ISBN:9781450386418

DOI:10.1145/3473682

Copyright © 2021 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.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 September 2021

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Extended-abstract
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AutomotiveUI '21

Sponsor:

SIGCHI

AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 9 - 14, 2021

Leeds, United Kingdom

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Demir CMeschtscherjakov AGärtner M(2024)Unlocking Trust and Acceptance in Tomorrow’s Ride: How In-Vehicle Intelligent Agents Redefine SAE Level 5 AutonomyMultimodal Technologies and Interaction10.3390/mti81201118:12(111)Online publication date: 17-Dec-2024
https://doi.org/10.3390/mti8120111
Wang MHock PChan Lee SBaumann MJeon M(2022)Jarvis in the car: Report on characterizing and designing in-vehicle intelligent agents workshopProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118132266144566:1(948-952)Online publication date: 27-Oct-2022
https://doi.org/10.1177/1071181322661445

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