The role of emotions in the consumer meaning-making of interactions with social robots

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Borghi, M. orcid id iconORCID: https://orcid.org/0000-0002-4150-1595 and Mariani, M. M. (2022) The role of emotions in the consumer meaning-making of interactions with social robots. Technological Forecasting and Social Change, 182. 121844. ISSN 0040-1625 doi: 10.1016/j.techfore.2022.121844

Abstract/Summary

The interaction with social robots is supposed to be a unique and emotionally charged activity. Based on the diffusion of innovations literature, subjective feelings represent a driver of the innovation diffusion process. Yet, to date, no study has comprehensively assessed consumers' emotional responses over time to interactions with social robots. Thus, the study aims to address this research gap by combining innovation diffusion and psychology literature. The emotional content of customers' self-reported communication on social robots deployed across international hotels is categorized through Plutchik's wheel of emotions by using advanced text analytics techniques to track and analyze its evolution over time. Findings show that consumers generally express positive emotions towards social robots. Trust, anticipation and joy are the most frequently expressed emotions. Empirical results from multivariate regression analysis indicate that joy has the greatest magnitude and that anticipation and surprise do not significantly influence consumers' opinions and comments. Negative emotions are less frequent but have a significantly negative impact, which might be considered by hotel managers willing to introduce social robots.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/106481
Identification Number/DOI 10.1016/j.techfore.2022.121844
Refereed Yes
Divisions Henley Business School > Digitalisation, Marketing and Entrepreneurship
Publisher Elsevier
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar