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Unveiling the Charisma of Artificial Intelligence: How Voice Assistants Captivate Users and Emotionally Influence User Experience

Basu, Bibaswan; Roy, Sanjit; Apostolidis, Chrysostomos

Unveiling the Charisma of Artificial Intelligence: How Voice Assistants Captivate Users and Emotionally Influence User Experience Thumbnail


Authors

Bibaswan Basu

Sanjit Roy



Abstract

Although studies have explored user experience (UX) with artificial intelligence (AI)‐powered voice assistants (VAs), the cognitive, psychological, and emotional factors affecting user engagement and experience with VAs have yet to be investigated in depth. Drawing on cognitive absorption and broaden‐and‐build theories, this study investigates how VAs captivate users, enhance positive emotions, and influence the overall UX. To address these questions, we conduct three types of analyses—exploratory, confirmatory, and configurational—utilizing data from 125,600 user reviews on a popular VA platform (Google Assistant) from 2017 to 2024. First, we employ bidirectional encoder representations from the transformers (BERT)topic modeling to unearth relevant cognitive and psychological factors and use multiple regression analyses to test their impact on UX. Our findings both confirm and contradict previous affirmations about these factors' influence on user engagement and experience with VAs. Next, we apply fuzzy‐set qualitative comparative analysis (fsQCA) to explore counterfactual causal configurations that contribute to a higher UX. Contributing to existing theory and knowledge of the psychological antecedents of user experiences with AI, our study identifies several combinations of cognitive and emotional factors that can improve user interactions with VAs.

Citation

Basu, B., Roy, S., & Apostolidis, C. (online). Unveiling the Charisma of Artificial Intelligence: How Voice Assistants Captivate Users and Emotionally Influence User Experience. Psychology and Marketing, https://doi.org/10.1002/mar.22233

Journal Article Type Article
Acceptance Date May 8, 2025
Online Publication Date May 21, 2025
Deposit Date May 8, 2025
Publicly Available Date Jun 2, 2025
Journal Psychology & Marketing
Print ISSN 0742-6046
Electronic ISSN 1520-6793
Publisher Wiley
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1002/mar.22233
Keywords configurational analysis, user experience, voice assistant, big‐data analytics, emotional engagement, cognitive engagement, cognitive enhancement
Public URL https://durham-repository.worktribe.com/output/3935567
This output contributes to the following UN Sustainable Development Goals:

SDG 9 - Industry, Innovation and Infrastructure

Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation

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