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From artificial intelligence to artificial human interaction : understand consumer acceptance of smart objects via mental representations of future interactions / Mohamed Hakimi (2022)  

Public Titre : From artificial intelligence to artificial human interaction : understand consumer acceptance of smart objects via mental representations of future interactions Type de document : Thèse/HDR Auteurs : Mohamed Hakimi, Auteur ; Pierre Valette-Florence, Directeur de thèse Editeur : Grenoble [France] : Université Grenoble Alpes Année de publication : 2022 Importance : 397 p. Format : 21 x 30 cm Note générale : bibliographie Thèse pour obtenir le grade de Docteur de l'Université Grenoble Alpes, spécialité Science de gestion Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] comportement [Termes IGN] consommation [Termes IGN] interaction homme-machine [Termes IGN] internet des objets [Termes IGN] ontologie [Termes IGN] représentation mentale Index. décimale : THESE Thèses et HDR Résumé : (auteur) While we are promised a booming for IoT markets and artificial intelligence, consumers still seem affected by ambivalence and concern regarding their acceptance (Ardelet et al. 2017). These negative attitudes toward smart objects represent a real barrier to adoption (Mani and Chouk 2018). Prior studies have tried to investigate the mechanisms of acceptance and resistance toward smart objects. Yet, they often relied upon a human-oriented perspective to assess this complex phenomenon and didn’t consider the interpersonal nature of consumer-smart object interactions (Novak and Hoffman 2019, Monsurro et al. 2020). The aim of this research is to assess the consumer-smart object anticipated interaction from an object-oriented ontology. The main goal is to explore the mental representations that smart object’s capacities can trigger. We posit that consumers can mentally simulate future interpersonal interactions with the smart object, based on its perceived capacities to affect and to be affected (Hoffman and Novak 2015). To do so, this research has adopted a mixed-method approach. First, we relied upon a projective qualitative technique called Album-OnLine (AOL) to explore the mental representations elicited by a smart object before purchase. Then, two quantitative studies examine the potential influence of smart object’s perceived capacities (Agency) over the emergence of negative attitudes and anxiety toward it, prior to any real-life interaction. Our results suggest that passive resistance toward smart objects and anxiety toward them emerge due to the innovative and agentic capacities expressed by the smart object. A detailed explanation of the phenomenon and avenues for future research are provided for researchers and managers to reduce this state of anticipated anxiety and to promote smart objects’ adoption. Note de contenu : Introduction 1- A theoretical approach of consumer-smart object interaction 2- Studying the simulated relational outcomes of consumer-smart objects anticipated relationships: Conceptual framework and methodology General discussion Numéro de notice : 24070 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Thèse française Note de thèse : Thèse de Doctorat : Science de gestion : Grenoble : 2022 Organisme de stage : CERAG DOI : sans En ligne : https://tel.hal.science/tel-03790489 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102125