Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management

Ying Chieh Liu; Chien Hung Chen; Su Ju Lu; Yu Sheng Lin; Hsin Yun Chen

doi:10.1007/978-3-030-44267-5_68

Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management

Ying Chieh Liu^*
, Chien Hung Chen
, Su Ju Lu
, Yu Sheng Lin
, Hsin Yun Chen

^*Corresponding author for this work

Department of Industrial Design

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

1 Scopus citations

Abstract

The use of machine learning to support health-related activities is yet to be adequately explored. We present a concept of using user-drawn doodles for communication and reporting of food item and its portion size. This paper aims to devise innovative applications for existing ML-based services. A prototype mobile app is developed and demonstrated. We invite three senior dietitians to evaluate its potential. Analysis is proceeded in used of affinity diagramming. The expert evaluation concluded the proposed system has good potential for promoting food class and macro-nutrient education among children. This research presents an innovative use of existing AI services helping to communicate food intake related information in nutrition education. Our future work will conduct user evaluation, integrate expert and user evaluations to improve app experience and usage, and enhance system functionality.

Original language	English
Title of host publication	Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies
Subtitle of host publication	Future Applications, IHIET-AI 2020
Editors	Tareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
Publisher	Springer
Pages	452-458
Number of pages	7
ISBN (Print)	9783030442668
DOIs	https://doi.org/10.1007/978-3-030-44267-5_68
State	Published - 2020
Event	2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 - Lausanne, Switzerland Duration: 23 04 2020 → 25 04 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1152 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020
Country/Territory	Switzerland
City	Lausanne
Period	23/04/20 → 25/04/20

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

Keywords

AutoDraw
Design innovation
Doodle
Food portion communication
Machine learning
Mobile application
Nutrition education

Access to Document

10.1007/978-3-030-44267-5_68

Cite this

Liu, Y. C., Chen, C. H., Lu, S. J., Lin, Y. S., & Chen, H. Y. (2020). Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management. In T. Ahram, R. Taiar, V. Gremeaux-Bader, & K. Aminian (Eds.), Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 (pp. 452-458). (Advances in Intelligent Systems and Computing; Vol. 1152 AISC). Springer. https://doi.org/10.1007/978-3-030-44267-5_68

Liu, Ying Chieh ; Chen, Chien Hung ; Lu, Su Ju et al. / Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management. Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020. editor / Tareq Ahram ; Redha Taiar ; Vincent Gremeaux-Bader ; Kamiar Aminian. Springer, 2020. pp. 452-458 (Advances in Intelligent Systems and Computing).

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title = "Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management",

abstract = "The use of machine learning to support health-related activities is yet to be adequately explored. We present a concept of using user-drawn doodles for communication and reporting of food item and its portion size. This paper aims to devise innovative applications for existing ML-based services. A prototype mobile app is developed and demonstrated. We invite three senior dietitians to evaluate its potential. Analysis is proceeded in used of affinity diagramming. The expert evaluation concluded the proposed system has good potential for promoting food class and macro-nutrient education among children. This research presents an innovative use of existing AI services helping to communicate food intake related information in nutrition education. Our future work will conduct user evaluation, integrate expert and user evaluations to improve app experience and usage, and enhance system functionality.",

keywords = "AutoDraw, Design innovation, Doodle, Food portion communication, Machine learning, Mobile application, Nutrition education",

author = "Liu, \{Ying Chieh\} and Chen, \{Chien Hung\} and Lu, \{Su Ju\} and Lin, \{Yu Sheng\} and Chen, \{Hsin Yun\}",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.; 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 ; Conference date: 23-04-2020 Through 25-04-2020",

year = "2020",

doi = "10.1007/978-3-030-44267-5\_68",

language = "英语",

isbn = "9783030442668",

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publisher = "Springer",

pages = "452--458",

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Liu, YC, Chen, CH, Lu, SJ, Lin, YS & Chen, HY 2020, Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management. in T Ahram, R Taiar, V Gremeaux-Bader & K Aminian (eds), Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020. Advances in Intelligent Systems and Computing, vol. 1152 AISC, Springer, pp. 452-458, 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020, Lausanne, Switzerland, 23/04/20. https://doi.org/10.1007/978-3-030-44267-5_68

Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management. / Liu, Ying Chieh; Chen, Chien Hung; Lu, Su Ju et al.
Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020. ed. / Tareq Ahram; Redha Taiar; Vincent Gremeaux-Bader; Kamiar Aminian. Springer, 2020. p. 452-458 (Advances in Intelligent Systems and Computing; Vol. 1152 AISC).

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

TY - GEN

T1 - Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management

AU - Liu, Ying Chieh

AU - Chen, Chien Hung

AU - Lu, Su Ju

AU - Lin, Yu Sheng

AU - Chen, Hsin Yun

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - The use of machine learning to support health-related activities is yet to be adequately explored. We present a concept of using user-drawn doodles for communication and reporting of food item and its portion size. This paper aims to devise innovative applications for existing ML-based services. A prototype mobile app is developed and demonstrated. We invite three senior dietitians to evaluate its potential. Analysis is proceeded in used of affinity diagramming. The expert evaluation concluded the proposed system has good potential for promoting food class and macro-nutrient education among children. This research presents an innovative use of existing AI services helping to communicate food intake related information in nutrition education. Our future work will conduct user evaluation, integrate expert and user evaluations to improve app experience and usage, and enhance system functionality.

AB - The use of machine learning to support health-related activities is yet to be adequately explored. We present a concept of using user-drawn doodles for communication and reporting of food item and its portion size. This paper aims to devise innovative applications for existing ML-based services. A prototype mobile app is developed and demonstrated. We invite three senior dietitians to evaluate its potential. Analysis is proceeded in used of affinity diagramming. The expert evaluation concluded the proposed system has good potential for promoting food class and macro-nutrient education among children. This research presents an innovative use of existing AI services helping to communicate food intake related information in nutrition education. Our future work will conduct user evaluation, integrate expert and user evaluations to improve app experience and usage, and enhance system functionality.

KW - AutoDraw

KW - Design innovation

KW - Doodle

KW - Food portion communication

KW - Machine learning

KW - Mobile application

KW - Nutrition education

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DO - 10.1007/978-3-030-44267-5_68

M3 - 会议稿件

AN - SCOPUS:85085202156

SN - 9783030442668

T3 - Advances in Intelligent Systems and Computing

SP - 452

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BT - Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies

A2 - Ahram, Tareq

A2 - Taiar, Redha

A2 - Gremeaux-Bader, Vincent

A2 - Aminian, Kamiar

PB - Springer

T2 - 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020

Y2 - 23 April 2020 through 25 April 2020

ER -

Liu YC, Chen CH, Lu SJ, Lin YS, Chen HY. Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management. In Ahram T, Taiar R, Gremeaux-Bader V, Aminian K, editors, Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020. Springer. 2020. p. 452-458. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-44267-5_68

Development of User-Drawn Doodles for Communication and Reporting of Dietary Intake in Health Management

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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