Abstract
Based on the UTAUT and TAM models, this study further enriches the influence of personal traits on the acceptance of autonomous driving, explores the influencing mechanism and the mediating effect of perceived value and perceived risk. A total of 279 questionnaires are collected. The results show that the user’s desire for control negatively affect the acceptance of autonomous driving, while hedonic motivation and safety positively affect the acceptance of autonomous driving. Perceived risk and perceived value mediate the influence of personal traits (desire for control and hedonic motivation) and safety on the acceptance of autonomous driving. This study expands the relevant theories related to the acceptance of autonomous driving, enriches the dimensions of factors affecting the acceptance of autonomous driving, and provides reference significance for future autonomous driving design and human-vehicle interaction, as well as reference suggestions for related manufacturing enterprises.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Balasekaran, G., Jayakumar, S., Pérez de Prado, R.: An intelligent task scheduling mechanism for autonomous vehicles via deep learning. Energies, 14(6), 1788 (2021). https://doi.org/10.3390/EN14061788
Buckley, L., Kaye, S.A., Pradhan, A.K.: Psychosocial factors associated with intended use of automated vehicles: A simulated driving study. Acid. Anal. Prev. 115, 202–208 (2018). https://doi.org/10.1016/j.aap.2018.03.021
Fagnant, D.J., Kockelman, K.M.: Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Economics 77, 167–181 (2014). https://doi.org/10.1016/J.TRA.2015.04.003
Perrine, K.A., Kockelman, K.M., Huang, Y.: Anticipating long-distance travel shifts due to self-driving vehicles. J. Transp. Geogr. 82 (2020). https://doi.org/10.1016/j.jtrangeo.2019.102547
Sun, Y., Olaru, D., Smith, B., Greaves, S.P., Collins, A.T.: Road to autonomous vehicles in Australia: An exploratory literature review. Road Transp. Res. 26(1), 34–47 (2017)
Körber, M., Gold, C., Lechner, D., Bengler, K.: The influence of age on the take-over of vehicle control in highly automated driving. Transp. Res. Part F Traf. Psychol. Behav. 39, 19–32 (2016). https://doi.org/10.1016/J.TRF.2016.03.002
Janssens, D.: Keynote III empowering citizens with sustainable transportation in the cities of today & tomorrow. Proc. Comput. Sci. 32, 19 (2014). https://doi.org/10.1016/J.PROCS.2014.05.391
Piao, J., McDonald, M., Hounsell, N.B., Graindorge, M., Graindorge, T., Malhéné, N.: Public views towards implementation of automated vehicles in urban areas. Transp. Res. Procedia 14, 2168–2177 (2016). https://doi.org/10.1016/J.TRPRO.2016.05.232
Noy, I.Y., Shinar, D., Horrey, W.J.: Automated driving: Safety blind spots. Saf. Sci. 102, 68–78 (2018). https://doi.org/10.1016/J.SSCI.2017.07.018
Xu, Z., Zhang, K., Min, H., Wang, Z., Zhao, X., Liu, P.: What drives people to accept automated vehicles? Findings from a field experiment. Transp. Res. Part C Emerg. Technol. 95, 320–334 (2018). https://doi.org/10.1016/J.TRC.2018.07.024
Wintersberger, S., Azmat, M., Kummer, S.: Are we ready to ride autonomous vehicles? A pilot study on Austrian consumers’ perspective. Logistics 3, 20 (2019). https://doi.org/10.3390/logistics3040020
Hilgarter, K., Granig, P.: Public perception of autonomous vehicles: A qualitative study based on interviews after riding an autonomous shuttle. Transp. Res. Part F Traf. Psychol. Behav. 72, 226–243 (2020). https://doi.org/10.1016/j.trf.2020.05.012
Schoettle, B., Sivak, M.: A preliminary analysis of real-world crashes involving self-driving vehicles. Psychology (2015)
Zmud, J., Sener, I.N., Wagner, J.: Consumer acceptance and travel behaviors: Impacts of automated vehicles: final report. Texas A&M Transportation Institute, Bryan (2016)
Payre, W., Cestac, J., Delhomme, P.: Intention to use a fully automated car: Attitudes and a priori acceptability. Transp. Res. Part F Traf. Psychol. Behav. 27, 252–263 (2014). https://doi.org/10.1016/j.trf.2014.04.009
Hajjafari, H.: Exploring the Effects of Socio Demographic and Built Environmental Factors on the Public Adoption of Shared and Private Autonomous Vehicles: A Case Study of Dallas-Fort Worth Metropolitan Area. The University of Texas, Arlington (2018)
Hudson, J., Orvisk, A.M., Hunady, J.: People’s attitudes to autonomous vehidles. Transp. Res. Part A Policy Pract. 121, 164–176 (2019). https://doi.org/10.1016/j.tra.2018.08.018
Nielsen, T.A., Haustein, S.: On sceptics and enthusiasts: What are the expectations towards self-driving cars? Transp. Policy 66, 49–55 (2018). https://doi.org/10.1016/J.TRANPOL.2018.03.004
Liu, P., Guo, Q., Ren, F., Wang, L., Xu, Z:. Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transp. Res. Part C Emerg. Technol. 100, 306–317 (2019). https://doi.org/10.1016/J.TRC.2019.01.022
Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., & Tscheligi, M.: Predicting information technology usage in the car: Towards a car technology acceptance model. Presented at the Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2012). ACM Press, Portsmouth. (2012). https://doi.org/10.1145/2390256.2390264
Ruggeri, K., et al.: In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles. J. Eng. Tech. Manag. 50, 39–44 (2018). https://doi.org/10.1016/J.JENGTECMAN.2018.09.001
Shabanpour, R., Shamshiripour, A., Mohammadian, A.: Modeling adoption timing of autonomous vehicles: Innovation diffusion approach. Transportation 45(6), 1607–1621 (2018). https://doi.org/10.1007/s11116-018-9947-7
Hulse, L.M., Xie, H., Galea, E.R.: Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age. Saf. Sci. 102, 1–13 (2018). https://doi.org/10.1016/J.SSCI.2017.10.001
Madigan, R., et al.: Acceptance of automated road transport systems (ARTS): An adaptation of the UTAUT model. Trans. Res. Procedia 14, 2217–2226 (2016). https://doi.org/10.1016/J.TRPRO.2016.05.237
Kettles, N., van Belle, J.: Investigation into the antecedents of autonomous car acceptance using an enhanced UTAUT Model. In: 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), pp. 1–6 (2019). https://doi.org/10.1109/ICABCD.2019.8851011
Nordhoff, S., van Arem, B., Happee, R.: Conceptual model to explain, predict, and improve user acceptance of driverless podlike vehicles. Transp. Res. Rec. 2602, 60–67 (2016). https://doi.org/10.3141/2602-08
Charness, N., Yoon, J., Souders, D.J., Stothart, C., Yehnert, C. Predictors of attitudes toward autonomous vehicles: The roles of age, gender, prior knowledge, and personality. Front. Psychol. 9 (2018). https://doi.org/10.3389/fpsyg.2018.02589
Goldberg, L.R.: The structure of phenotypic personality traits. Am. Psychol. 48, 26–34 (1993)
Kyriakidis, M., Happee, R., Winter, J.D.: Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transp. Res. Part F Traffic Psychol. Behav. 32, 127–140 (2015). https://doi.org/10.1016/J.TRF.2015.04.014
Adell, E., Várhelyi, A., Nilsson, L.N.: The Definition of Acceptance and Acceptability. Driver Acceptance of New Technology, pp.11–21 (2018). https://doi.org/10.1201/9781315578132-2
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003). https://doi.org/10.2307/30036540
Lee, J., Lee, D., Park, Y., Lee, S., Ha, T.: Autonomous vehicles can be shared, but a feeling of ownership is important: Examination of the influential factors for intention to use autonomous vehicles. Transp. Res. Part C Emerg. Technol. 107, 411–422 (2019). https://doi.org/10.1016/j.trc.2019.08.020
Garidis, K., Rossmann, A., Ulbricht, L., Schmaeh, M.: Toward a user acceptance model of autonomous driving. In: Proceeding of the Hawaii International Conference on System Sciences, at Maui, Hawaii (2020). https://doi.org/10.24251/HICSS.2020.170
Hegner, S.M., Beldad, A.D., Brunswick, G.J.: In automatic we trust: investigating the impact of trust, control, personality characteristics, and extrinsic and intrinsic motivations on the acceptance of autonomous vehicles. Int. J. Hum. Comput. Interact. 35(19), 1769–1780 (2019). https://doi.org/10.1080/10447318.2019.1572353
Korkmaz, H.E., Fidanoglu, A., Ozcelik, S.T., Okumuş, A.: User acceptance of autonomous public transport systems (APTS): Extended UTAUT2 model. J. Public Transp. 24(1), 1 (2022). https://doi.org/10.5038/2375-0901.23.1.5
Nees, M.A.: Acceptance of self-driving cars: an examination of idealized versus realistic portrayals with a self- driving car acceptance scale. Proc. Human Fact. Ergon. Soc. Annu. Meet. 60(1), 1449–1453 (2016). https://doi.org/10.1177/1541931213601332
Weigl, K., Schartmuller, C., Riener, A., Steinhauser, M.: Development of the questionnaire on the acceptance of automated driving (QAAD): Data-driven models for Level 3 and Level 5 automated driving. Transp. Res. Part F Traffic Psychol. Behav. 83, 42–59 (2021). https://doi.org/10.1016/j.trf.2021.09.011
Rodel, C., Stadler, S., Meschtscherjakov, A., Tscheligi, M.: Towards autonomous cars: The effect of autonomy levels on acceptance and user experience. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM Press, pp. 1–8 (2014)
Hein, D.W., Rauschnabel, P.A., He, J., Richter, L., Ivens, B.S.: What Drives the Adoption of Autonomous Cars? In: ICIS 2018 Proceedings, p. 4 (2018). https://aisel.aisnet.org/icis2018/practice/Presentations/4
Benleulmi, A.Z., Blecker, T.: Investigating the factors influencing the acceptance of fully autonomous cars. In: Proceedings of the Hamburg International Conference of Logistics (HICL), vol. 23, pp. 99–115 (2017). https://doi.org/10.15480/882.1449
Burger, J.M., Cooper, H.M.: The desirability of control. Motiv. Emot. 3(4), 381–393 (1979). https://doi.org/10.1007/BF00994052
Baum, A.S., & Singer, J.E. Applications of personal control. (1980)
Lee, J., Kolodge, K.: Understanding attitudes towards self-driving vehicles: Quantitative analysis of qualitative data. Proc. Hum. Fact. Ergon. Soc. Annu. Meet. 62, 1399–1403 (2018). https://doi.org/10.1177/1541931218621319
Pettigrew, S., Worrall, C., Talati, Z., Fritschi, L., Norman, R.: Dimensions of attitudes to autonomous vehicles. Urban Plan. Transp. Res. 7, 19–33 (2019). https://doi.org/10.1080/21650020.2019.1604155
Merfeld, K., Wilhelms, M.P., Henkel, S.: Being driven autonomously a qualitative study to elicit consumers’ overarching motivational structures. Transp. Res. Part C Emerg. Technol. 107, 229–247 (2019). https://doi.org/10.1080/21650020.2019.1604155
Konig, M., Neumayr, L.: Users’ resistance towards radical innovations: The case of the self-driving car. Transp. Res. Part F Traffic Psychol. Behav. 44, 42–52 (2017). https://doi.org/10.1016/j.trf.2016.10.013
Schoettle, B., Sivak, M.: Motorists’ preferences for company’s levels of vehicle automation. J. Univ. Michigan Sustain. Worldwide Transp. (2016)
Muller, A., Stockinger, C., Walter, J., et al.: Wie wollen wir automatisiert fahren? Technische Universitat Darmstadt, pp. 1–22 (2017)
Sun, L., Chang, R.: Research status and prospect of driving style. Ergonomics 19(04), 92–95 (2013)
Taubman - Ben-Ari, O., Mikulincer, M., Gillath, O.: The multidimensional driving style inventory - Scale construct and validation. Accident Anal. Prevent. 36, 323–32 (2004). https://doi.org/10.1016/S0001-4575(03)00010-1
Holman, A.C., Havarneanu, C.E.: The Romanian version of the multidimensional driving style inventory: Psychometric properties and cultural specificities. Transp. Res. Part F Traffic Psychol. Behav. 35, 45–59 (2015). https://doi.org/10.1016/J.TRF.2015.10.001
Juffrizal, K., Nidzamuddin, M., Yusof, J.T., Muhammad, Z.H., Frank, D., Hanneke, H.: The identification of Malaysian driving styles using the multidimensional driving style inventory. Proc. MATEC Web Conf. 90(1), 01004 (2017)
Horswill, M., McKenna, F.: The effect of perceived control on risk taking 1. J. Appl. Soc. Psychol. 29(2), 377–391 (2006). https://doi.org/10.1111/J.1559-1816.1999.TB01392.X
Burger, J.M., Schnerring, D.A.: The effects of desire for control and extrinsic rewards on the illusion of control and gambling. Motiv. Emot. 6, 329–335 (1982)
Kirkcaldy, B.D., Trimpop, R., Cooper, C.L.: Working hours, job stress, work satisfaction, and accident rates among medical practitioners and allied personnel. Int. J. Stress. Manag. 4, 79–87 (1997). https://doi.org/10.1007/BF02765302
Brell, T., Philipsen, R., Ziefle, M.: sCARy! Risk perceptions in autonomous driving: The influence of experience on perceived benefits and barriers. Risk Anal. 39, 342–357 (2019). https://doi.org/10.1111/risa.13190
Alalwan, A.A., Dwivedi, Y.K., Rana, N.P.: Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. Int. J. Inf. Manag. 37(3), 99–110 (2017). https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Bay, S.: Innovation adoption in robotics: consumer intentions to use autonomous vehicles. Master’s Thesis (2016)
Venkatesh, V., Thong, J.Y., Xu, X.: Unified theory of acceptance and use of technology: A synthesis and the road ahead. J. Assoc. Inf. Syst. 17, 1 (2016). https://doi.org/10.17705/1jais.00428
Becker, F., Axhausen, K.W.: Literature review on surveys investigating the acceptance of autonomous vehicles. Transportation, 44, 1293–1306 (2017). https://doi.org/10.1007/s11116-017-9808-9
Ernst, C.H., Reinelt, P.: Autonomous car acceptance: Safety vs. personal driving enjoyment. In: AMCIS (2017)
Schoettle, B., Sivak, M.: A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia. In: 2014 International Conference on Connected Vehicles and Expo (ICCVE), pp. 687–692 (2014). https://doi.org/10.1109/ICCVE.2014.7297637
Nazari, F., Noruzoliaee, M., Mohammadian, A.K.: Shared versus private mobility: Modeling public interest in autonomous vehicles accounting for latent attitudes. Transp. Res. Part C Emerg. Technol. 97, 456–477 (2018). https://doi.org/10.1016/j.trc.2018.11.005
Zhang, X., Wang, X., Ma, Y., Ma, Q.: International research progress on driving behavior and driving risk. China J. Highway Transp. 33(6), 1–17 (2020). https://doi.org/10.19721/j.cnki.1001-7372.2020.06.001
Zheng, D., Jiang, Z., Zhang, Q.: A study on drivers’ risky driving behavior and its influencing factors. Ergonomics 20(1), 20–25 (2014)
Hardman, S., Berliner, R.M., Tal, G.: Who will be the early adopters of automated vehicles? Insights from a survey of electric vehicle owners in the United States. Transp. Res. D Transp. Environ. 71, 248–264 (2019). https://doi.org/10.1016/J.TRD.2018.12.001
Midden, C.J.H., Huijts, N.M.A.: The role of trust in the affective evaluation of novel risks: The case of CO2 storage. Risk Anal. 29(5), 743–751 (2009). https://doi.org/10.1111/j.1539-6924.2009.01201.x
Eiser, J.R., Miles, S., Frewer, L.J.: Trust, perceived risk, and attitudes toward food technologies. J. Appl. Soc. Psychol. 32, 2423–2433 (2022). https://doi.org/10.1111/j.1559-1816.2002.tb01871.x
Flint, D.J., Woodruff, R.B., Gardial, S.F.: Customer value change in industrial marketing relationships: A call for new strategies and research. J. Indus. Mar. Manag. 26, 163–175 (1997). https://doi.org/10.1016/S0019-8501%2896%2900112-5
Jin, N.P., Lee, S., Lee, H.: The effect of experience quality on perceived value, satisfaction, image and behavioral intention of water park patrons: New versus repeat visitors. Int. J. Tour. Res. 17, 82–95 (2015). https://doi.org/10.1002/JTR.1968
Sweeney, J., Soutar, G.: Consumer perceived value: The development of a multiple item scale. J. Retail. 77, 203–220 (2001). https://doi.org/10.1016/S0022-4359%2801%2900041-0
Kim, H.W., Chan, H.C., Gupta, S.: Value-based adoption of mobile internet: an empirical investigation. Decis. Supp. Syst. 43(1), 111–126 (2007). https://doi.org/10.1016/j.dss.2005.05.009
Chiu, C.M., Wang, E.T.G., Fang, Y.H., Huang, H.Y.: Understanding customers’ repeat purchase intentions in B2C E-commerce: The roles of utilitarian value, hedonic value and perceived risk. Inf. Syst. J. 24, 85–114 (2014). https://doi.org/10.1111/j.1365-2575.2012.00407.x
Xie, J., Ye, L., Huang, W., Ye, M.: Understanding FinTech platform adoption: Impacts of perceived value and perceived risk. J. Theor. Appl. Electron. Commer. Res. 35(1), 121–127 (2017). https://doi.org/10.3390/jtaer16050106
Hussein, A.S., Hapsari, R.D., Yulianti, I.: Experience quality and hotel boutique customer loyalty: Mediating role of hotel image and perceived value. J. Qual. Assur. Hosp. Tour. 19, 442–459 (2018). https://doi.org/10.1080/1528008X.2018.1429981
Keshavarz, Y., Jamshidi, D.: Service quality evaluation and the mediating role of perceived value and customer satisfaction in customer loyalty. Int. J. Tourism Cities 4(2), 220–244 (2018). https://doi.org/10.1108/IJTC-09-2017-0044
Wong, A., Rinderer, P.: Customer perceptions of shared autonomous vehicle usage: An empirical study. Home Int. J. Automot. Technol. Manag. 20(1): 108–129 (2020). https://doi.org/10.1504/ijatm.2020.10026966
Bauer, R.A.: Consumer behavior as risk taking. In: Hancock, R.S. (ed.) Dynamic Marketing for a Changing World. Proceedings of the 43rd Conference of the American Marketing Association, pp. 389–398 (1960)
Cox, D.F., Rich, S.U.: Perceived risk and consumer decision-making—The case of telephone shopping. J. Mark. Res. 1(4), 32–39 (1964). https://doi.org/10.1177/002224376400100405
Chang, E.C., Tseng, Y.F.: Research note: E-store image, perceived value and perceived risk. J. Bus. Res. 66(7), 864–870 (2013). https://doi.org/10.1016/J.JBUSRES.2011.06.012
Thakur, R., Srivastava, M.: Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Res. 24, 369–392 (2014). https://doi.org/10.1108/IntR-12-2012-0244
Martins, C., Oliveira, T., Popovič, A.: Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. Int. J. Inf. Manag. 34, 1–13 (2014). https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Yuen, K.F., Huyen, D.T., Wang, X., Qi, G.: Factors influencing the adoption of shared autonomous vehicles. Int. J. Environ. Res. Publ. Health 17(13), 48–68 (2020). https://doi.org/10.3390/ijerph17134868
Choi, D.: The impact of media use on policy support on fine dust problem in South Korea’s atmosphere: The mediating role of attribution of responsibility and perceived risk. J. Risk Res. 24, 1101–1112 (2020). https://doi.org/10.1080/13669877.2020.1801809
Prebensen, N.K., Rosengren, S.: Experience value as a function of hedonic and utilitarian dominant services. Int. J. Contemp. Hospital. Manag. 28, 113–135 (2016). https://doi.org/10.1108/IJCHM-02-2014-0073
Clapp, J.D., et al.: Factors contributing to anxious driving behavior: the role of stress history and accident severity. J. Anxiety Disord. 25(4), 592–598 (2011). https://doi.org/10.1016/j.janxdis.2011.01.008
Poortinga, W., Pidgeon, N.F.: Trust in risk regulation: Cause or consequence of the acceptability of GM food? Risk Analysis 25(1),199–209 (2005). https://doi.org/10.1111/j.0272-4332.2005.00579.x
Kim, Y., Park, Y., Seo, H.H., Choi, J.: An empirical investigation of customer acceptance of self-driving cars. In: Key Challenges and Opportunities for Quality, Sustainability and Innovation in the Fourth Industrial Revolution, January 2021, pp. 73–97 (2021)
Acknowledgments
We are grateful for the support of the foundation: the National Natural Science Foundation of China 72201023.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zu, Y., Chen, N. (2023). Research on the Influencing Factors of Autonomous Driving Acceptance. In: Rau, PL.P. (eds) Cross-Cultural Design. HCII 2023. Lecture Notes in Computer Science, vol 14023. Springer, Cham. https://doi.org/10.1007/978-3-031-35939-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-031-35939-2_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35938-5
Online ISBN: 978-3-031-35939-2
eBook Packages: Computer ScienceComputer Science (R0)