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Tourism and Hospitality Management
Article . 2026 . Peer-reviewed
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Tourism and Hospitality Management
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Human chefs’ perceptions towards robot chefs

Authors: Vatan, Ahmet; Şen, Mehmet Akif; Baydan, Seren; Şen, Mehmet Akif; 57220087183; 57200617482; 60514215600; +1 Authors

Human chefs’ perceptions towards robot chefs

Abstract

Purpose – This research has been conducted for the purpose of exploring human chefs’ perceptions on robot chefs and to identify potential challenges experienced by the use of robot chefs from a human chef perspective. Methodology/Design/Approach – Qualitative research methods were preferred to explore the human chefs’ perceptions towards the robot chefs. 30 chefs participated in semi-structured interviews. Thematic analysis method was used. Findings – Human chefs expressed their fear that robot chefs will cause unemployment. In human chefs’ opinion, the products robot chefs produce will be of poorer quality compared to the product delivery of human chefs. The chefs emphasize that it will cause guest dissatisfaction. The idea of working together will cause various problems. Human chefs have the perception that robot chefs will make the culinary profession monotonous and bring the culinary profession to an end. The positive perspectives of human chefs towards robot chefs are that robot chefs will reduce some costs, make things easier, speed up production, provide standardization and increase job safety. Originality of the research – This study is one of the few studies examining human chefs’ perceptions of changes in their roles and autonomy in restaurants by robot chefs and how human chefs respond to the use of robot chefs.

Countries
Croatia, Turkey
Related Organizations
Keywords

chef; hi-tech restaurant; Hospitality technology; human-robot interaction; robot chef; service robot, Hospitality technology, service robot, chef, human-robot interaction, robot chef, hi-tech restaurant

  • BIP!
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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Published in a Diamond OA journal