Design of a Spoken Dialogue System to Provide Food Knowledge to Users while Eating

Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Annalena Aicher, Keiichi Yasumoto, Wolfgang Minker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce the concept of a spoken dialogue system, which aims to recognize user eating behaviors during meals and promotes healthier eating habits by engaging users in an interactive co-dining experience. To provide an intuitive and more natural access, this information is integrated into a natural conversation with the user. Therefore, we conducted a preliminary study to explore how a human-like virtual avatar's eating speed affects the eating pace of a co-dining user. The results indicate that dining together with an avatar reduces the user's feeling of loneliness and enhances the overall satisfaction and enjoyment of the meal. Therefore, this work represents an important step toward realizing engaging co-dining experiences with human-like avatars and provides new insights into the future design of IoT systems to support solitary dining and health recommendations.

Original languageEnglish
Title of host publicationIoT 2023 - Proceedings of the 13th International Conference on the Internet of Things
PublisherAssociation for Computing Machinery
Pages154-157
Number of pages4
ISBN (Electronic)9798400708541
DOIs
Publication statusPublished - Nov 7 2023
Event13th International Conference on the Internet of Things, IoT 2023 - Nagoya, Japan
Duration: Nov 7 2023Nov 10 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference13th International Conference on the Internet of Things, IoT 2023
Country/TerritoryJapan
CityNagoya
Period11/7/2311/10/23

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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