- BPA - Applied Psychology Bulletin I Giunti Psychometrics
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.
771
77
Giunti Psychometrics
Giunti Psychometrics is the historic publisher of psychometric tests, psychology books, CME training courses and psychodiagnostic tools.
Scientific Director: Alessandro Zennaro
Copyright © 2021 by Giunti Psychometrics