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001-es BibID:	BIBFORM109703
035-os BibID:	(WoS)000995123600001 (Scopus)85150013970
Első szerző:	Hőgye-Nagy Ágnes (pszichológus, munka- és szervezetpszichológus)
Cím:	Acceptance of self-driving cars among the university community: Effects of gender, previous experience, technology adoption propensity, and attitudes toward autonomous vehicles / Hőgye-Nagy, Ágnes; Kovács, Gábor; Kurucz, Győző
Dátum:	2023
ISSN:	1369-8478 1873-5517
Megjegyzések:	This article investigates the acceptance of autonomous cars based on the role of attitudes toward autonomous vehicles, acceptance of technology, previous experiences, and gender. Using an online survey, which includes the Acceptance of Autonomous Vehicles (AVAS) and Technology Adoption Propensity scale (TAP), a sample of 1273 members of a university community was collected. Acceptance of using autonomous cars in a test drive and ordinary, real traffic scenarios, as well as the intention to buy one were measured via self-administered items. We used conditional process modeling to get a more detailed insight into the connections among these factors. The findings revealed that all four factors of attitudes towards autonomous vehicles (benefits in usefulness, benefits in situations, commonalities concerns, system concerns) but only the optimism factor of technology adaption propensity affected the acceptance. Dependency seemed to affect benefits in usefulness and the two concern variables. Gender differences are almost entirely explained away by the effects of attitudes. Previous experience had no significant effect in the model.
Tárgyszavak:	Bölcsészettudományok Pszichológiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Acceptance of self-driving cars Technology Adoption Propensity Conditional process modeling Attitudes toward autonomous vehicles
Megjelenés:	Transportation Research Part F: Traffic Psychology and Behaviour. - 94 (2023), p. 353-361. -
További szerzők:	Kovács Gábor Kurucz Győző (1982-) (pszichológus)
Pályázati támogatás:	GINOP-2.3.4-15-2016-00003 GINOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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