The assessment of drivers’ acceptance of automated vehicles in Italy: Development and initial validation of a short self-report measure

Antonella Somma, Giulia Gialdi, Stefano Fraioli, Leda Mastinu, Andrea Fossati

Accepted July 1, 2023

First published July 16, 2023

https://doi.org/10.26387/bpa.2023.00010

Abstract

Autonomous vehicles (AVs) have the potential to transform mobility. Exploring factors influencing driver’
acceptance of AVs has become crucial. We aimed at developing a short measure assessing: (a) positive dispositions
towards technology (Technology Optimism Scale; TOS); (b) positive dispositions towards automated vehicles (Perception
of Automated Vehicles; PAV); and (c) sustainable mobility attitudes (Sustainable Mobility Attitudes; SMA) in Italy. A sample
of 730 Italian community-dwelling adult participants (mean age = 36.39 years; 61.1% female), was administered the TOS,
PAV, and SMA items. Bivariate and multivariate item analyses were carried out; moreover, exploratory graph analysis was
conducted to examine the structure of the measure. Internal consistency estimates of the TOS, PAV and SMA total scores
were computed; associations between TOS, PAV, and SMA total scores, and demographic variables and personality
traits, respectively, were assessed. The TOS, PAV, and SMA total scores were provided with adequate reliability and
showed meaningful relationships with selected demographic variable and personality traits. Our findings may represent
a useful contribution to the available literature on AVs providing researchers a short measure to assess different aspects
contributing to the perception of AVs, at least among Italian community-dwelling participants.

References

ADELL, E., VARHELYI, A. & NILSSON, L. (2014). The definitionof acceptance and acceptability. In M. Regan (Ed.), Driveracceptance of new technology: Theory, measurement andoptimization. Ashgate.
BANSAL, P., KOCKELMAN, K.M. & SINGH, A. (2016). Assessingpublic opinions of and interest in new vehicle technologies: AnAustin perspective. Transportation Research Part C: EmergingTechnologies, 67, 1-14.
BARNETT, T., PEARSON, A.W., PEARSON, R. & KELLERMANNS,F.W. (2015). Five-factor model personality traits as predictors ofperceived and actual usage of technology. European Journal ofInformation Systems, 24, 374-390.
BECKER, F. & AXHAUSEN, K.W. (2017). Literature review onsurveys investigating the acceptance of automated vehicles.Transportation, 44 (6), 1293-1306.
BOLLEN, K.A. (1989). Structural equations with latent variables.John Wiley & Sons.
CHARNESS, N., YOON, J.S., SOUDERS, D., STOTHART, C.& YEHNERT, C. (2018). Predictors of attitudes towardautonomous vehicles: The roles of age, gender, prior knowledge,and personality. Frontiers in Psychology, 9, 2589.
CHRISTENSEN, A.P. & GOLINO, H. (2021). On the equivalency offactor and network loadings. Behavior Research Methods, 53 (4),1563-1580.
CHRISTENSEN, A.P., GROSS, G.M., GOLINO, H.F., SILVIA, P.J.& KWAPIL, T.R. (2019). Exploratory graph analysis of themultidimensional schizotypy scale. Schizophrenia Research, 206,43-51.
CLARK, L.A. & WATSON, D. (1995). Constructing validity: Basicissues in objective scale development. Psychological Assessment,7 (3), 309-319.
EPSKAMP, S., BORSBOOM, D. & FRIED, E.I. (2018). Estimatingpsychological networks and their accuracy: A tutorial paper.Behavior Research Methods, 50 (1), 195-212.
EUROPEAN COMMISSION (2017). Special Eurobarometer 460:Attitudes towards the impact of digitisation and automation ondaily life. Retrieved from http://ec.europa.eu/commfrontoffice/publicopinion/index.cfm/Survey/getSurveyDetail/instruments/SPECIAL/surveyKy/2160 (July 7, 2017).
FOSSATI, A., BORRONI, S., MARCHIONE, D. & MAFFEI, C.(2011). The Big Five Inventory (BFI): Reliability and validity ofits Italian translation in three independent nonclinical samples.European Journal of Psychological Assessment, 27 (1), 50-58.
FRIED, E.I. & CRAMER, A.O. (2017). Moving forward: Challengesand directions for psychopathological network theory andmethodology. Perspectives on Psychological Science, 12 (6), 999-1020.
FRIEDMAN,J.,HASTIE,T.&TIBSHIRANI,R.(2008).Sparseinversecovariance estimation with the graphical lasso. Biostatistics, 9 (3),432-441.
GOLINO, H.F. & EPSKAMP, S. (2017). Exploratory graph analysis:A new approach for estimating the number of dimensions inpsychological research. PLoS ONE, 12 (6), e0174035.
HALLQUIST, M.N., WRIGHT, A.G.C. & MOLENAAR, P.C.M.(2021). Problems with centrality measures in psychopathologysymptom networks: Why network psychometrics cannot escapepsychometric theory. Multivariate Behavioral Research, 56 (2),199-223.
HARTWICH, F., WITZLACK, C., BEGGIATO, M. & KREMS,J.F. (2019). The first impression counts: A combined drivingsimulator and test track study on the development of trust andacceptance of highly automated driving. Transportation ResearchPart F: Traffic Psychology and Behaviour, 65, 522-535.
HEGNER, S.M., BELDAD, A.D. & BRUNSWICK, G.J. (2019). Inautomatic we trust: Investigating the impact of trust, control,personalitycharacteristics,andextrinsicandintrinsicmotivationson the acceptance of autonomous vehicles. International Journalof Human-Computer Interaction, 35 (19), 1769-1780.
HOHENBERGER, C., SPÖRRLE, M. & WELPE, I.M. (2016). Howand why do men and women differ in their willingness to useautomated cars? The influence of emotions across different agegroups. Transportation Research Part A: Policy and Practice, 94,374-385.
HUDSON, J., ORVISKA, M. & HUNADY, J. (2019). People’s attitudesto autonomous vehicles. Transportation Research Part A: Policyand Practice, 121, 164-176.
HULSE, L.M., XIE, H. & GALEA, E.R. (2018). Perceptions ofautonomous vehicles: Relationships with road users, risk, genderand age. Safety science, 102, 1-13.
JOHN, O.P. & SRIVASTAVA, S. (1999). The Big Five Trait taxonomy:History, measurement, and theoretical perspectives. In L.A.Pervin & O.P. John (Eds.), Handbook of personality: Theory andresearch. Guilford Press.
KACPERSKI, C., KUTZNER, F. & VOGEL, T. (2021). Consequencesof autonomous vehicles: Ambivalent expectations and theirimpact on acceptance. Transportation Research Part F: TrafficPsychology and Behaviour, 81, 282-294.
KAISER, F.G. & WILSON, M. (2000). Assessing people’s generalecological behavior: A cross-cultural measure 1. Journal ofApplied Social Psychology, 30 (5), 952-978.
KYRIAKIDIS, M., HAPPEE, R. & DE WINTER, J.C. (2015). Publicopinion on automated driving: Results of an internationalquestionnaire among 5000 respondents. Transportation ResearchPart F: Traffic Psychology and Behaviour, 32, 127-140.
KPMG (2013). Self-driving cars: Are We Ready? Yearly Analysis.
LAURITZEN, N. (1996). Embeddings of homogeneous spaces inprime characteristics. American Journal of Mathematics, 118 (2),377-387.
LIU, P., YANG, R. & XU, Z. (2019). Public acceptance of fullyautomated driving: Effects of social trust and risk/benefitperceptions. Risk Analysis, 39 (2), 326-341.
NIELSEN, T.A.S. & HAUSTEIN, S. (2018). On sceptics andenthusiasts: What are the expectations towards self-driving cars?Transport Policy, 66, 49-55.
NIKITAS, A., VITEL, A.E. & COTET, C. (2021). Autonomousvehicles and employment: An urban futures revolution orcatastrophe? Cities, 114, 103203.
NUNNALLY, J.C. & BERNSTEIN, I.H. (1994). Psychometric theory(3rd ed.). New York: McGraw-Hill.
OPSAHL, T., AGNEESSENS, F. & SKVORETZ, J. (2010). Nodecentrality in weighted networks: Generalizing degree andshortest paths. Social Networks, 32 (3), 245-251.
OTHMAN, K. (2021). Public acceptance and perception ofautonomous vehicles: A comprehensive review. AI and Ethics, 1(3), 355-387.
PENMETSA, P., ADANU, E.K., WOOD, D., WANG, T. & JONES, S.L.(2019). Perceptions and expectations of autonomous vehicles:A snapshot of vulnerable road user opinion. TechnologicalForecasting and Social Change, 143, 9-13.
PETTIGREW, S., TALATI, Z. & NORMAN, R. (2018). The healthbenefits of autonomous vehicles: Public awareness andreceptivity in Australia. Australian and New Zealand Journal ofPublic Health, 42 (5), 480-483.
PONS, P. & LATAPY, M. (2006). Computing communities in largenetworks using random walks. Journal of Graph Algorithms andApplications, 10, 191-218.
PREVIDE MASSARA, G., DI MATTEO, T. & ASTE, T. (2016).Network filtering for big data: Triangulated maximally filteredgraph. Journal of Complex Networks, 5 (2), 161-178.
REVELLE, W. (1978). ICLUST: A cluster analytic approach toexploratory and confirmatory scale construction. BehaviorResearch Methods & Instrumentation, 10 (5), 739-742.
REVELLE, W. (1979). Hierarchical cluster analysis and the internalstructure of tests. Multivariate Behavioral Research, 14 (1), 57-74.
RYAN, M. (2020). The future of transportation: ethical, legal, socialand economic impacts of self-driving vehicles in the year 2025.Science and Engineering Ethics, 26 (3), 1185-1208.
SOCIETY OF AUTOMOTIVE ENGINEERS (2018). Taxonomy anddefinitions for terms related to on-road motor vehicle automateddriving systems (Standard No. J3016_ 201806).
STONE, T., SANTONI DE SIO, F. & VERMAAS, P.E. (2020). Drivingin the dark: Designing autonomous vehicles for reducing lightpollution. Science and Engineering Ethics, 26 (1), 387-403.
TENNANT,C.,STARES,S.&HOWARD,S.(2019).Publicdiscomfortat the prospect of autonomous vehicles: Building on previoussurveys to measure attitudes in 11 countries. TransportationResearch Part F: Traffic Psychology and Behaviour, 64, 98-118.
VAN DE VIJVER, F. & HAMBLETON, R.K. (1996). Translating tests:Some practical guidelines. European Psychologist, 1 (2), 89-99.
WEIGL, K., NEES, M.A., EISELE, D. & RIENER, A. (2022).Acceptance of automated vehicles: Gender effects, but lack ofmeaningful association with desire for control in Germany andin the US. Transportation Research Interdisciplinary Perspectives,13, 100563.
XU, Z., ZHANG, K., MIN, H., WANG, Z., ZHAO, X. & LIU, P. (2018).What drives people to accept automated vehicles? Findings froma field experiment. Transportation Research Part C: EmergingTechnologies, 95, 320-334.
ZHANG, T., TAO, D., QU, X., ZHANG, X., LIN, R. & ZHANG, W.(2019). The roles of initial trust and perceived risk in public’sacceptance of automated vehicles. Transportation Research PartC: Emerging Technologies, 98, 207-220.

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Somma Antonella . Gialdi Giulia . Fraioli Stefano . Mastinu Leda . Fossati Andrea . The assessment of drivers’ acceptance of automated vehicles in Italy: Development and initial validation of a short self-report measure. BPA Applied Psychology Bulletin. 2023;297(1):70-87. doi:10.26387/bpa.297.1.

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