A personal emotion-based recipe recommendation mobile social platform: Mood canteen

Tsai Hsuan Tsai; Hsien Tsung Chang; Chia Yu Hsu; Shu Yu Lin; Wei Cheng Yan; Yi Cheng Chen

doi:10.1007/978-3-319-92052-8_45

A personal emotion-based recipe recommendation mobile social platform: Mood canteen

Tsai Hsuan Tsai^*, Hsien Tsung Chang, Chia Yu Hsu, Shu Yu Lin, Wei Cheng Yan, Yi Cheng Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This study resulted in the development of a mobile social platform, called Mood Canteen, which has the purpose of meal cuisine and recipe sharing. Mood Canteen has two important characteristics: (1) to establish the relationship between food and emotion: To construct an interaction between food and personal emotions, Mood Canteen applies an emotion analysis mechanism on SNS to analyze emotions based on semantics, emoticons/emoji, and images of food- and cuisine-related posts, and it matches those emotions with food to create a user’s personal emotional state database and emotional food database according to the study’s results. (2) To establish an emotion-complementing healing system: To make emotion cuisine recommendations for users that meet their emotional state and help users alleviate negative emotions and promote positive emotions by sharing recipes and meals, Mood Canteen incorporates a newly created personalized meal recommendation mechanism that provides users with the appropriate comfort food selection based on a personal emotional state database and emotional food database. In addition, based on the characteristics and requirements of the mobile user interface, this study applied the SMASH usability heuristics to initiate the usability measurements of the developed Mood Canteen system.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer Verlag
Pages	574-582
Number of pages	9
ISBN (Print)	9783319920511
DOIs	https://doi.org/10.1007/978-3-319-92052-8_45
State	Published - 2018
Event	12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018 - Las Vegas, United States Duration: 15 07 2018 → 20 07 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10908 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018
Country/Territory	United States
City	Las Vegas
Period	15/07/18 → 20/07/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Emotion analysis
Emotion cuisine database
Mobile application
Mood-boosting receipts
Recipe sharing community
Usability heuristics for smartphones

Access to Document

10.1007/978-3-319-92052-8_45

Cite this

Tsai, T. H., Chang, H. T., Hsu, C. Y., Lin, S. Y., Yan, W. C., & Chen, Y. C. (2018). A personal emotion-based recipe recommendation mobile social platform: Mood canteen. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings (pp. 574-582). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10908 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-92052-8_45

Tsai, Tsai Hsuan ; Chang, Hsien Tsung ; Hsu, Chia Yu et al. / A personal emotion-based recipe recommendation mobile social platform : Mood canteen. Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Verlag, 2018. pp. 574-582 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This study resulted in the development of a mobile social platform, called Mood Canteen, which has the purpose of meal cuisine and recipe sharing. Mood Canteen has two important characteristics: (1) to establish the relationship between food and emotion: To construct an interaction between food and personal emotions, Mood Canteen applies an emotion analysis mechanism on SNS to analyze emotions based on semantics, emoticons/emoji, and images of food- and cuisine-related posts, and it matches those emotions with food to create a user{\textquoteright}s personal emotional state database and emotional food database according to the study{\textquoteright}s results. (2) To establish an emotion-complementing healing system: To make emotion cuisine recommendations for users that meet their emotional state and help users alleviate negative emotions and promote positive emotions by sharing recipes and meals, Mood Canteen incorporates a newly created personalized meal recommendation mechanism that provides users with the appropriate comfort food selection based on a personal emotional state database and emotional food database. In addition, based on the characteristics and requirements of the mobile user interface, this study applied the SMASH usability heuristics to initiate the usability measurements of the developed Mood Canteen system.",

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year = "2018",

doi = "10.1007/978-3-319-92052-8_45",

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Tsai, TH , Chang, HT, Hsu, CY, Lin, SY, Yan, WC & Chen, YC 2018, A personal emotion-based recipe recommendation mobile social platform: Mood canteen. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10908 LNCS, Springer Verlag, pp. 574-582, 12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018, Las Vegas, United States, 15/07/18. https://doi.org/10.1007/978-3-319-92052-8_45

A personal emotion-based recipe recommendation mobile social platform: Mood canteen. / Tsai, Tsai Hsuan ; Chang, Hsien Tsung; Hsu, Chia Yu et al.
Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Verlag, 2018. p. 574-582 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10908 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tsai TH , Chang HT, Hsu CY, Lin SY, Yan WC, Chen YC. A personal emotion-based recipe recommendation mobile social platform: Mood canteen. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. Springer Verlag. 2018. p. 574-582. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-92052-8_45

A personal emotion-based recipe recommendation mobile social platform: Mood canteen

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Keywords

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