"Baby, you can drive my car": Psychological antecedents that drive consumers' adoption of AI-powered autonomous vehicles.

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Date: Jan. 2022
From: Technovation(Vol. 109)
Publisher: Elsevier Science Publishers
Document Type: Report; Brief article
Length: 313 words

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Abstract :

Keywords Self-driving cars; Artificial intelligence; Technology acceptance model; User well-being; Social recognition; Hedonism; Privacy concerns; Technology trust Highlights * Few studies focused on antecedents of behavioral intention to use (BIU) of AI-powered autonomous vehicles' (AV). * Results suggest focusing on AVs' driver well-being, hedonism and social recognition to increase BIU. * It is important to increase both AV technology security and trust to raise BIU. * Data collected by AV should be carefully managed to decrease privacy concerns that negatively influence BIU. Abstract Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most highly anticipated technological advancements of our time, with potentially wide-ranging social implications in terms of driver/passenger safety, equity and environmental aspects. However, most consumers feel reluctant towards the adoption of AI-powered AVs. To analyse user acceptance of AI-powered AVs, we need to understand the related psychological, social and cognitive factors. To do so, we established a conceptual model based on the technology acceptance literature and considered how performance and effort expectancy, social recognition, hedonism technology security and privacy concerns influence both technology trust and user well-being as mediators that subsequently influence the behavioural intention of the use of AI-powered AVs. We used user innovativeness as a moderator, and we performed a survey in France. Our results from the structural equation modelling largely support the positive relationship between the behavioural intention to use AI-powered AVs and performance-/effort expectancy, social recognition, well-being, hedonism and technology trust, as well as security. On the other hand, privacy concerns negatively influence technology trust. Author Affiliation: (a) TSM-Research-UMR 5303 CNRS, University Toulouse Capitole, France (b) Business Science Institute, Luxembourg (c) iaelyon School of Management, Université Jean Moulin Lyon 3, Magellan, Lyon, France * Corresponding author. TSM-Research-UMR 5303 CNRS, University Toulouse Capitole, France. Article History: Received 16 October 2020; Revised 21 April 2021; Accepted 10 July 2021 Byline: Lars Meyer-Waarden [lars.meyer-waarden@tsm-education.fr] (a,b,*), Julien Cloarec [julien.cloarec@univ-lyon3.fr] (c)

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Gale Document Number: GALE|A684964846