Lunchocracy: Improving Eating Dynamics in the Workplace Using a Bot-Based Anonymous Voting System

Terzimehić, N., Khamis, M. , Bemmann, F. and Hussmann, H. (2018) Lunchocracy: Improving Eating Dynamics in the Workplace Using a Bot-Based Anonymous Voting System. In: CHI EA '18: 36th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Montréal, QC, Canada, 21-26 Apr 2018, LBW022. ISBN 9781450356213 (doi:10.1145/3170427.3188626)

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Abstract

Previous studies have shown that when individuals join groups for lunch, they tend to conform to the decision of the group. As result, people do not always have the chance to pick the food they wish for, which in turn may have negative consequences, such as not abiding to healthy diets. To address this problem, we created Lunchocracy, an anonymous decision support tool for lunch spots in a workplace based on feedback from a focus group with 7 participants. The tool implements a conversational skype-bot, Lunchbot, that allows users to express interest in joining lunch and to vote for diners to eat at. We deployed the tool for four weeks with 14 participants from the same university department. Post-interviews with 5 participants revealed an overall satisfaction with Lunchocracy, in particular due to it structuring the lunch decision-making and saving time. We discuss how the use of Lunchocracy can positively influence the group's eating dynamics.

Item Type:Conference Proceedings
Keywords:Chatbot, decision making, food choice, workplace.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Khamis, Dr Mohamed
Authors: Terzimehić, N., Khamis, M., Bemmann, F., and Hussmann, H.
College/School:College of Science and Engineering > School of Computing Science
Publisher:ACM
ISBN:9781450356213
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in CHI EA '18: 36th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems: LBW022
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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