Food diary coaching chatbot

Casas, Jacky (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland)

This article presents the design of a conversational agent whose goal is to coach people who wish to improve their food lifestyle. The data gathering method is easy and especially fast in order to simplify the life of the user. The goals are defined by the user and the follow-up is done daily. Two choices are available to the user: reduce his consumption of meat or consume more fruits and vegetables. User tests were conducted with 36 people. Only 11% of the challenges were successful, but in 65% of cases, the tester has managed to improve its consumption compared to before.


Mots-clés:
Type de conférence:
full paper
Faculté:
Ingénierie et Architecture
Ecole:
HEIA-FR
Institut:
HumanTech - Technology for Human Wellbeing Institute
Classification:
Ingénierie
Adresse bibliogr.:
Hong Kong, China, 8-12 October 2018
Date:
2018-10
Hong Kong, China
8-12 October 2018
Pagination:
5 p.
Publié dans:
Proceedings of ACM International Symposium on Wearble Computers (ISWC'18), Ubicomp 2018, 8-12 October 2018, Singapore
DOI:
ISBN:
9781450359665
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Note: The status of this file is: restricted


 Notice créée le 2019-01-22, modifiée le 2020-10-27

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