Automated social presence in AI: Avoiding consumer psychological tensions to improve service value
Carlos Flavián,
Russell W. Belk,
Daniel Belanche and
Luis V. Casaló
Journal of Business Research, 2024, vol. 175, issue C
Abstract:
Consumers are increasingly embracing robots and AI. This has led them to suffer psychological tensions in their AI experiences (e.g., data capture, classification, delegation and social experiences). This exploratory research proposes that AI with higher perceived automated presence (sense of being with another being) alleviates psychological tensions. This in turn leads to consumer perceptions of higher functional and social value and higher future use intention. A study into service robots (n = 331) supported the proposal that consumers’ perceptions of greater automated social presence in service robots makes them feel understood rather than misunderstood, empowered rather than replaced and connected rather than alienated, which increases their functional and social value perceptions and intention to use robots in the future. The impact of automated social presence on social experience is higher for consumers with a higher need for social interaction. This research lends weight to some theoretical proposals made in previous literature that were, at that point, empirically unexplored.
Keywords: Automated social presence; Service robots; AI experiences; Intention to use; Functional value; Social value; Need for social interaction (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324000493
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:175:y:2024:i:c:s0148296324000493
DOI: 10.1016/j.jbusres.2024.114545
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().