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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Balancing Human Touch and Technological Innovation:Understanding Human–Robot Interaction in Luxury Hospitality through the Lens of Uniqueness and Social Exchange Theory

Authors: Priyanka, Shrivastava;

Balancing Human Touch and Technological Innovation:Understanding Human–Robot Interaction in Luxury Hospitality through the Lens of Uniqueness and Social Exchange Theory

Abstract

The increasing adoption of robotics and artificial intelligence (AI) in luxury hospitality presents both opportunities and challenges. While these technologies can deliver personalized, efficient services, they risk diminishing the emotional engagement and empathy that define luxury experiences. This research examines human–robot interaction (HRI) through the Theory of Uniqueness and Social Exchange Theory to explore how technological innovation can coexist with the human touch. Using a mixed-method approach—including surveys, in-depth interviews, and observational studies—this study investigates guest perceptions of uniqueness, value, trust, and emotional connection in robot-assisted versus human interactions. Findings reveal that guests value robotic efficiency but expect emotional warmth from human staff, suggesting that a hybrid service model can optimize both technological and human strengths. The study contributes to consumer research by extending HRI theory into luxury contexts, integrating emotional and experiential dimensions, and offering strategic guidelines for emotionally intelligent robot design

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Keywords

Artificial intelligence (AI) Human–robot interaction Human touch

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green