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Explaining the use of AI chatbots as context alignment: motivations behind the use of AI chatbots across contexts and culture

  • Drawing from the affordances concept in communication and the advertising research principle of context alignment, this study develops a typology of affordances associated with AI chatbot use across diverse contexts and cultures. We argue that the congruence between perceived affordances and the context of use significantly shapes users’ expectations and engagement with AI chatbots. As a first step, we developed a comprehensive set of AI chatbot affordances. Subsequently, we investigated the predictive value of these affordances for chatbot use across five different contexts, including at home, at work, in public spaces, during commuting, and at school. In a total sample of N = 5,096 AI chatbot users from mainland China, Germany, Hong Kong, Japan, and the United States, parallel analysis identified seven general (private social presence, accessibility, persistence, anonymity, bandwidth, editability, and conversation control) and five specific affordances (writing assistance, emotionalDrawing from the affordances concept in communication and the advertising research principle of context alignment, this study develops a typology of affordances associated with AI chatbot use across diverse contexts and cultures. We argue that the congruence between perceived affordances and the context of use significantly shapes users’ expectations and engagement with AI chatbots. As a first step, we developed a comprehensive set of AI chatbot affordances. Subsequently, we investigated the predictive value of these affordances for chatbot use across five different contexts, including at home, at work, in public spaces, during commuting, and at school. In a total sample of N = 5,096 AI chatbot users from mainland China, Germany, Hong Kong, Japan, and the United States, parallel analysis identified seven general (private social presence, accessibility, persistence, anonymity, bandwidth, editability, and conversation control) and five specific affordances (writing assistance, emotional assistance, coding assistance, personal assistance, translation assistance) for the use of AI chatbots. These affordances consistently predicted context-specific AI chatbot use across cultural boundaries.show moreshow less

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Metadaten
Author:Sebastian ScherrORCiDGND, Bolin Cao, Li Crystal Jiang, Tetsuro Kobayashi
URN:urn:nbn:de:bvb:384-opus4-1232477
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/123247
ISSN:0747-5632OPAC
Parent Title (English):Computers in Human Behavior
Publisher:Elsevier BV
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/07/03
Volume:172
First Page:108738
DOI:https://doi.org/10.1016/j.chb.2025.108738
Institutes:Philosophisch-Sozialwissenschaftliche Fakultät
Fakultätsübergreifende Institute und Einrichtungen
Philosophisch-Sozialwissenschaftliche Fakultät / imwk - Institut für Medien, Wissen und Kommunikation
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Interdisziplinäre Gesundheitsforschung (ZIG)
Philosophisch-Sozialwissenschaftliche Fakultät / imwk - Institut für Medien, Wissen und Kommunikation / Lehrstuhl für Digital Health Communication
Dewey Decimal Classification:3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)