How can bar robots enhance the well-being of guests?

Loading...
Thumbnail Image
Author (Corporation)
Publication date
2023
Typ of student thesis
Course of study
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023)
Special issue
DOI of the original publication
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
AAAI
Place of publication / Event location
Aachen
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
This paper addresses the question of how bar robots can contribute to the well-being of guests. It first develops the basics of service robots and social robots. It gives a brief overview of which gastronomy robots are on the market. It then presents examples of bar robots and describes two models used in Switzerland. A research project at the School of Business FHNW collected empirical data on them, which is used for this article. The authors then discuss how the robots could be improved to increase the well-being of customers and guests and better address their individual wishes and requirements. Artificial intelligence can play an important role in this. Finally, ethical and social problems in the use of bar robots are discussed and possible solutions are suggested to counter these.
Keywords
Subject (DDC)
330 - Wirtschaft
Project
Event
AAAI 2023 Spring Symposium Series: Socially Responsible AI for Well-being
Exhibition start date
Exhibition end date
Conference start date
27.03.2023
Conference end date
29.03.2023
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
BENDEL, Oliver und Lea PEIER, 2023. How can bar robots enhance the well-being of guests? In: Takashi KIDO und Keiki TAKADAMA (Hrsg.), Post-event Proceedings of the AAAI Spring Symposium: Socially Responsible AI for Well-being (AAAI-SRAI 2023). Aachen: AAAI. 2023. Verfügbar unter: https://doi.org/10.26041/fhnw-7471