IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v178y2023ics0965856423002847.html
   My bibliography  Save this article

Public acceptance of autonomous vehicles: Examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality

Author

Listed:
  • Koh, Le Yi
  • Yuen, Kum Fai

Abstract

Many nations' transportation strategies have highlighted the potential of autonomous vehicles and have made plans to slowly phase them into societies over the next decade. Consequently, public acceptance of autonomous vehicles is crucial, and this study will be applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and Computers as Social Actors as the theoretical backbone. Five hundred valid survey responses from people residing in Singapore were collected and structural equation modeling was utilized to confirm the theoretical model. From the results, all of the identified constructs from UTAUT2 and Computer as Social Actors are significant. The performance expectancy of autonomous vehicles and interaction quality of the intelligent in-vehicle interaction technology also mediate public acceptance of autonomous vehicles. Moreover, among the constructs, interaction quality, social influence, and performance expectancy have the greatest total effect on the acceptance of autonomous vehicles. Accordingly, regular feedback sessions must be conducted to ensure consumer-centric improvements in interaction quality and performance expectancy of autonomous vehicles. Furthermore, test drives and collaborative educational campaigns can be organized to generate positive word of mouth about the vehicles among the public.

Suggested Citation

  • Koh, Le Yi & Yuen, Kum Fai, 2023. "Public acceptance of autonomous vehicles: Examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423002847
    DOI: 10.1016/j.tra.2023.103864
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423002847
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2023.103864?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Song & Li, Zhixia & Wang, Yi & Aaron Wyatt, Daniel, 2022. "How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 376-394.
    2. Matthias N. Sweet & Darren M. Scott & Samira Hamiditehrani, 2023. "Who will adopt private automated vehicles and automated shuttle buses? Testing the roles of past experience and performance expectancy," Transportation Planning and Technology, Taylor & Francis Journals, vol. 46(1), pages 45-70, January.
    3. Yuping Liu-Thompkins & Shintaro Okazaki & Hairong Li, 2022. "Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1198-1218, November.
    4. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    5. Adnan, Nadia & Md Nordin, Shahrina & bin Bahruddin, Mohamad Ariff & Ali, Murad, 2018. "How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 819-836.
    6. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    7. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    9. Thomas Leicht & Anis Chtourou & Kamel Ben Youssef, 2018. "Consumer innovativeness and intentioned autonomous car adoption," Post-Print hal-02511554, HAL.
    10. Xiao, Jingyi & Goulias, Konstadinos G., 2022. "Perceived usefulness and intentions to adopt autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 170-185.
    11. Park, Jungkun & Hong, EunPyo & Le, Hoang TPM, 2021. "Adopting autonomous vehicles: The moderating effects of demographic variables," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    12. Golossenko, Artyom & Pillai, Kishore Gopalakrishna & Aroean, Lukman, 2020. "Seeing brands as humans: Development and validation of a brand anthropomorphism scale," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 737-755.
    13. Jian Chen & Rui Li & Mi Gan & Zhiyan Fu & Fatao Yuan, 2020. "Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-13, November.
    14. Demeulenaere, Xavier, 2020. "How challenges of human reliability will hinder the deployment of semi-autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    15. Petrović, Đorđe & Mijailović, Radomir M. & Pešić, Dalibor, 2022. "Persons with physical disabilities and autonomous vehicles: The perspective of the driving status," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 98-110.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingyu Zhang & Muhammad Zada & Salman Khan & Hossam Haddad & Nidal Alramahi & Waleed Ahmed Nureldeen, 2024. "Exploring the Role of Tourist Pro-Environmental Behavior in Autonomous Vehicle Adoption: A TPB and PLS-SEM Approach," Sustainability, MDPI, vol. 16(20), pages 1-24, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    2. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Li, Dun & Huang, Youlin & Qian, Lixian, 2022. "Potential adoption of robotaxi service: The roles of perceived benefits to multiple stakeholders and environmental awareness," Transport Policy, Elsevier, vol. 126(C), pages 120-135.
    4. Yang Liao & Hanying Guo & Hongguo Shi, 2024. "Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    5. Xiaobei Jiang & Wenlin Yu & Wenjie Li & Jiawen Guo & Xizheng Chen & Hongwei Guo & Wuhong Wang & Tao Chen, 2021. "Factors Affecting the Acceptance and Willingness-to-Pay of End-Users: A Survey Analysis on Automated Vehicles," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    6. Park, Jein & Han, Semi, 2023. "Investigating older consumers’ acceptance factors of autonomous vehicles," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. Jing, Peng & Wang, Baihui & Cai, Yunhao & Wang, Bichen & Huang, Jiahui & Yang, Chenglu & Jiang, Chengxi, 2023. "What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. Mohammadhossein Abbasi & Amir Reza Mamdoohi & Grzegorz Sierpiński & Francesco Ciari, 2023. "Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    9. Kapousizis, Georgios & Sarker, Rumana & Baran Ulak, M. & Geurs, Karst, 2024. "User acceptance of smart e-bikes: What are the influential factors? A cross-country comparison of five European countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    10. Tiansheng Xia & Xiaowu Lin & Yongqing Sun & Tingting Liu, 2023. "An Empirical Study of the Factors Influencing Users’ Intention to Use Automotive AR-HUD," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    11. Ljubi, Klara & Groznik, Aleš, 2023. "Role played by social factors and privacy concerns in autonomous vehicle adoption," Transport Policy, Elsevier, vol. 132(C), pages 1-15.
    12. Jang, Hyejin & Lee, Suyeong & Yoon, Byungun, 2023. "Data-driven techno-socio co-evolution analysis based on a topic model and a hidden Markov model," Technovation, Elsevier, vol. 126(C).
    13. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "A systematic literature review of the factors influencing the adoption of autonomous driving," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1065-1082, December.
    14. BERTRANDIAS, Laurent & LOWE, Ben & SADIK-ROZSNYAI, Orsolya & CARRICANO, Manu, 2021. "Delegating decision-making to autonomous products: A value model emphasizing the role of well-being," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    15. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Srivastava, Ankur & Gautam, Vikas & Sharma, Vikram, 2023. "Does consideration for future consequences matter in consumer decision to rent electric vehicles?," Energy Policy, Elsevier, vol. 181(C).
    17. Lindgren, Thomas & Pink, Sarah & Fors, Vaike, 2021. "Fore-sighting autonomous driving - An Ethnographic approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    18. Wang, Song & Li, Zhixia & Wang, Yi & Wyatt, Daniel Aaron, 2024. "How effective is automated vehicle education? – A Kentucky case study revealing the dynamic nature of education effectiveness," Transport Policy, Elsevier, vol. 147(C), pages 140-157.
    19. Qian, Lixian & Yin, Juelin & Huang, Youlin & Liang, Ya, 2023. "The role of values and ethics in influencing consumers’ intention to use autonomous vehicle hailing services," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    20. Bouncken, Ricarda B. & Qiu, Yixin & García, F. Javier Sendra, 2021. "Flexible pattern matching approach: Suggestions for augmenting theory evolvement," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:178:y:2023:i:c:s0965856423002847. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.