abstract

Motive Structure Underlying the Use of Intelligent Connected Vehicles

Authors:

Li Lin,

Ya WangAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 7

https://doi.org/10.1145/3334480.3382915

Published: 25 April 2020 Publication History

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Abstract

Intelligent connected vehicles (ICVs) are the foundation to create an intelligent transport eco-system. While the population of ICV users is gradually increasing, the motives underlying use of ICVs remain unclear. Here, we developed a scale to measure motives for ICV use. Taken the results of explorative factor analysis and confirmatory factor analysis together, we suggested a four-factor model: symbolic, instrumental, affective-self, and affective-other motives. We found that ICV users with different characteristics in age, annual income and driving distance evaluated the importance of motives differently. ICV users who are richer and drive longer distances are more likely to show higher symbolic and affective-self motives. Also, users' symbolic motive grows with age. Finally, we found that symbolic and affective motives correlated highly with social norms and loyalty, while instrumental motives related to perceived control feelings toward operating the vehicle. These findings shed novel insights on how to design ICVs and make related policies.

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Cited By

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Zheng MZhang JYang CLi XLuo JHuang YDai Q(2023)Predicting User Acceptance of Automated Vehicles Based on Basic User Characteristics through Big Data Analysis2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)10.1109/ACCTCS58815.2023.00023(256-262)Online publication date: Feb-2023
https://doi.org/10.1109/ACCTCS58815.2023.00023
Shang YWei XDuan WZhang J(2023)The Structure of Users’ Satisfaction with Body-Worn Cameras: A Study of 181 Chinese Police OfficersHCI International 2023 Posters10.1007/978-3-031-35989-7_88(689-694)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35989-7_88
Shahzad MQu YUr Rehman SDing XRazzaq A(2022)Impact of stakeholders’ pressure on green management practices of manufacturing organizations under the mediation of organizational motivesJournal of Environmental Planning and Management10.1080/09640568.2022.206256766:10(2171-2194)Online publication date: 19-Apr-2022
https://doi.org/10.1080/09640568.2022.2062567

Index Terms

Motive Structure Underlying the Use of Intelligent Connected Vehicles
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
2. Social and professional topics
  1. User characteristics

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Published In

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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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Association for Computing Machinery

New York, NY, United States

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Published: 25 April 2020

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Natural Scientific Foundation of China
National Key Research and Development Plan

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CHI '20

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SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

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Zheng MZhang JYang CLi XLuo JHuang YDai Q(2023)Predicting User Acceptance of Automated Vehicles Based on Basic User Characteristics through Big Data Analysis2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)10.1109/ACCTCS58815.2023.00023(256-262)Online publication date: Feb-2023
https://doi.org/10.1109/ACCTCS58815.2023.00023
Shang YWei XDuan WZhang J(2023)The Structure of Users’ Satisfaction with Body-Worn Cameras: A Study of 181 Chinese Police OfficersHCI International 2023 Posters10.1007/978-3-031-35989-7_88(689-694)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35989-7_88
Shahzad MQu YUr Rehman SDing XRazzaq A(2022)Impact of stakeholders’ pressure on green management practices of manufacturing organizations under the mediation of organizational motivesJournal of Environmental Planning and Management10.1080/09640568.2022.206256766:10(2171-2194)Online publication date: 19-Apr-2022
https://doi.org/10.1080/09640568.2022.2062567

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Abstract

References

Cited By

Index Terms

Recommendations

Evaluating User Experience for Intelligent Connected Vehicles: A Qualitative Study

Federated Learning-Based Driving Strategies Optimization for Intelligent Connected Vehicles

Is Your Prompt Detailed Enough? Exploring the Effects of Prompt Coaching on Users' Perceptions, Engagement, and Trust in Text-to-Image Generative AI Tools

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