eprintid: 49639 rev_number: 5 eprint_status: archive userid: 23303 importid: 106 dir: disk0/00/04/96/39 datestamp: 2024-08-28 13:24:37 lastmod: 2024-08-28 13:25:14 status_changed: 2024-08-28 13:24:37 type: article metadata_visibility: show creators_name: Gordillo Chávez, D. creators_name: Cloarec, Julien creators_name: Meyer-Waarden, Lars creators_idrefppn: 242498825 creators_idrefppn: 069869871 creators_affiliation: Artefact creators_affiliation: iaelyon School of Management creators_affiliation: Toulouse School of Management creators_halaffid: 520525 title: Opening the moral machine’s cover: How algorithmic aversion shapes autonomous vehicle adoption ispublished: pub subjects: subjects_GESTION abstract: Autonomous driving technology has made its way into the market at various levels, yet fully autonomous vehicles remain unavailable. The psychological barriers that must be overcome before fully automated vehicles (AVs) become mainstream are numerous. In addition to technological advancements, persuading consumers to transition from the traditional human-driven model to AVs poses a significant challenge. According to the Moral Machine Experiment, Latin American countries form distinct sub-clusters and exhibit the highest preference for action in moral decision-making. To foster user acceptance of AVs in these countries, it is imperative to comprehend cognitive, affective, and ethical factors. To this end, we conducted experiments with respondents from Colombia to examine how varying levels of automation influence algorithm aversion and user acceptance. Algorithm aversion is explored from two perspectives: ethical judgment and behavior, and emergency evaluation and performance. Our findings reveal two key insights. Firstly, higher levels of automation negatively impact people’s assessment of the emergency evaluation capabilities of AVs, partially contributing to algorithm aversion. Secondly, the intention to use AVs is adversely affected by algorithm aversion, encompassing both ethical considerations and emergency performance-related aspects. Furthermore, mediation analysis demonstrates that perceived hedonism elucidates the inverse relationship between algorithm aversion and the intention to use AVs. date: 2024-09 date_type: published publisher: Elsevier id_number: 10.1016/j.tra.2024.104193 faculty: gestion divisions: CRM keywords: Autonomous vehicles, Adoption, Moral dilemmas, Algorithm aversion, Perceived hedonism language: en has_fulltext: FALSE doi: 10.1016/j.tra.2024.104193 view_date_year: 2024 full_text_status: none publication: Transportation Research - Part A: Policy and Practice volume: vol.187 place_of_pub: aAmsterdam refereed: TRUE issn: 1879-2375 oai_identifier: oai:tsm.fr:2889 harvester_local_overwrite: volume harvester_local_overwrite: pending harvester_local_overwrite: creators_idrefppn harvester_local_overwrite: creators_halaffid harvester_local_overwrite: publisher harvester_local_overwrite: place_of_pub harvester_local_overwrite: hal_id harvester_local_overwrite: hal_version harvester_local_overwrite: hal_url harvester_local_overwrite: hal_passwd oai_lastmod: 2024-08-27T09:50:30Z oai_set: tsm site: ut1 hal_id: hal-04680224 hal_passwd: oz7q&gi hal_version: 1 hal_url: https://hal.science/hal-04680224 citation: Gordillo Chávez, D., Cloarec, Julien and Meyer-Waarden, Lars (2024) Opening the moral machine’s cover: How algorithmic aversion shapes autonomous vehicle adoption. Transportation Research - Part A: Policy and Practice, vol.187.