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Anthropomorphic agents, transparent automation and driver personality: towards an integrative multi-level model of determinants for effective driver-vehicle cooperation in highly automated vehicles

Authors:

Johannes Maria Kraus,

Jessica Sturn,

Julian Elias Reiser,

Martin BaumannAuthors Info & Claims

AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 8 - 13

https://doi.org/10.1145/2809730.2809738

Published: 01 September 2015 Publication History

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Abstract

This paper introduces a model integrating research on antecedents of safe and enjoyable interaction with highly automated advanced driver assistance systems (ADAS). It focuses on the psychological processes during the initial encounters with a system, in which system features interact with personality factors in building up beliefs and attitudes about a system affecting the further usage of the system. Our ongoing study is conducted online and aims at validating and elaborating the introduced model. In the study, participants are introduced to a self-driving agent, with whom they interact in a very simplified way. Besides testing our model the study investigates the effects of system transparency and anthropomorphism on user perceptions and their cooperation with the system. Our study will provide insights on how individual differences can be respected in designing interfaces that promote certain psychological conditions in turn leading to efficient cooperation with automated systems.

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Cited By

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Häkkilä JPaananen SColley JKirjavainen EEtto J(2024)Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver GuideProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675703(363-373)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3640792.3675703
Stiegemeier DKraus JBaumann M(2024)Why drivers use in-vehicle technology: The role of basic psychological needs and motivationTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2023.11.014100(133-153)Online publication date: Jan-2024
https://doi.org/10.1016/j.trf.2023.11.014
Wu MLi ZYuen K(2024)Effect of Anthropomorphic Design and Hierarchical Status on Balancing Self-Serving Bias: Accounting for Education, Ethnicity, and ExperienceComputers in Human Behavior10.1016/j.chb.2024.108299(108299)Online publication date: May-2024
https://doi.org/10.1016/j.chb.2024.108299
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Index Terms

Anthropomorphic agents, transparent automation and driver personality: towards an integrative multi-level model of determinants for effective driver-vehicle cooperation in highly automated vehicles
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms
      1. Graphical user interfaces

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Information & Contributors

Information

Published In

AutomotiveUI '15: Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2015

172 pages

ISBN:9781450338585

DOI:10.1145/2809730

General Chair:
Gary Burnett
University of Nottingham, UK
,
Program Chairs:
Joe Gabbard
Virginia Tech
,
Paul Green
University of Michigan Transportation Research Institute (UMTRI)
,
Sebastian Osswald
Technische Universitat Munchen (TUM), Germany
,
Bastian Pfleging,
Andrew Kun,
Publications Chairs:
Ayse Eren,
Vicki Antrobus

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.

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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Conference

AutomotiveUI '15

AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 1 - 3, 2015

Nottingham, United Kingdom

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all

Häkkilä JPaananen SColley JKirjavainen EEtto J(2024)Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver GuideProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675703(363-373)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3640792.3675703
Stiegemeier DKraus JBaumann M(2024)Why drivers use in-vehicle technology: The role of basic psychological needs and motivationTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2023.11.014100(133-153)Online publication date: Jan-2024
https://doi.org/10.1016/j.trf.2023.11.014
Wu MLi ZYuen K(2024)Effect of Anthropomorphic Design and Hierarchical Status on Balancing Self-Serving Bias: Accounting for Education, Ethnicity, and ExperienceComputers in Human Behavior10.1016/j.chb.2024.108299(108299)Online publication date: May-2024
https://doi.org/10.1016/j.chb.2024.108299
Stiegemeier DBringeland SKraus JBaumann MJi YJeon M(2022)User Experience of In-Vehicle Gesture Interaction: Exploring the Effect of Autonomy and Competence in a Mock-Up ExperimentProceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3543174.3546847(285-296)Online publication date: 17-Sep-2022
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Wang MLee SMontavon GQin JJeon MJi YJeon M(2022)Conversational Voice Agents are Preferred and Lead to Better Driving Performance in Conditionally Automated VehiclesProceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3543174.3546830(86-95)Online publication date: 17-Sep-2022
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Liang JGao QLi WShi YShen MGao Z(2022)Personality Affects Dispositional Trust and History-Based Trust in Different WaysInternational Journal of Human–Computer Interaction10.1080/10447318.2022.205527339:4(949-960)Online publication date: 20-Apr-2022
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Lee SJeon M(2022)A systematic review of functions and design features of in-vehicle agentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102864165:COnline publication date: 1-Sep-2022
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Wang MHock PLee SBaumann MJeon M(2021)Genie vs. Jarvis: Characteristics and Design Considerations of In-Vehicle Intelligent Agents13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3473682.3479720(197-199)Online publication date: 9-Sep-2021
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Pichen JStoll TBaumann M(2021)From SAE-Levels to Cooperative Task Distribution:An Efficient and Usable Way to Deal with System Limitations?13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409118.3475127(109-115)Online publication date: 9-Sep-2021
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