Human Versus Robot

Comparing Service Agents in Hospitality Settings—Insights From a Field Study

Journal Article (2025)
Author(s)

Alexander Lennart Schmidt (Hotelschool The Hague)

K.O. Koerten (TU Delft - Human-Robot Interaction, Hotelschool The Hague)

Aarni Tuomi (Haaga-Helia University of Applied Sciences)

Dahlia El-Manstrly (University of Sheffield)

Karoline Wiegerink (University of Sheffield)

Research Group
Human-Robot Interaction
DOI related publication
https://doi.org/10.1002/jsc.2637
More Info
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Publication Year
2025
Language
English
Research Group
Human-Robot Interaction
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
4
Volume number
34
Pages (from-to)
559-575
Reuse Rights

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Abstract

The hospitality industry is facing personnel challenges, including personnel shortages and high staff turnover, asking practitioners to explore service robots to enhance competitiveness. While prior academic studies have primarily relied on hypothetical or conceptual research, there remains a pressing need for real-life field studies to assess the practical impacts of service robots in hospitality. This study examines the comparative effects of human and robotic service agents at the touchpoint of information provision in a real-world hotel setting. Using a field experiment with 200 participants, where both service agents (human and robot) were simultaneously available, we assess service agent's impact on guests' experience of hospitality, satisfaction, and revisiting intentions. The findings reveal indifferent effects between human and robotic agents, challenging assumptions that robots negatively impact guest experiences. Contrary to debates suggesting that human agents are superior in hospitality roles, our results indicate that service robots can effectively complement human staff, reducing demand for frontline personnel and lowering operational costs without diminishing guest satisfaction. This study highlights the potential of integrating robotic agents into the hospitality frontline, particularly for routine tasks like information provision. We acknowledge limitations, including the focus on a single touchpoint, and call for broader research across diverse guest interactions and touchpoints. Future studies should also explore the underlying factors influencing guests' choice of service agents. These findings offer practical implications for tackling labor shortages while maintaining service quality, providing actionable insights for the hospitality industry in the context of digital transformation.

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