Abstract
Cardiovascular diseases (CVDs) are currently the leading cause of death worldwide. Accumulated evidence indicates that a healthy diet contributes significantly to health promotion and an increase in quality of life for those living with CVDs. While dietary intake management plays an integral part in cardiac rehabilitation (CR), tracking dietary intake is burdensome, resulting in measurement errors caused by the burden of manual food logging, low adherence, incomplete data, or erroneous information.
In this paper, we present a chatbot, as a conversational dietary assessment tool to help users capture their dietary intake and provide feedback to support users in understanding their dietary choices. With this chatbot, we conducted a preliminary evaluation study with 9 experts specializing in the field of CR programs or dietary behavior management, who were asked to use the chatbot to self-report their dietary intake for one week. The results show that the chatbot is easy to interact with and experts praised its simplicity and flexibility. Besides, the chatbot has shown the potential to contribute to dietary intake management.
In this paper, we present a chatbot, as a conversational dietary assessment tool to help users capture their dietary intake and provide feedback to support users in understanding their dietary choices. With this chatbot, we conducted a preliminary evaluation study with 9 experts specializing in the field of CR programs or dietary behavior management, who were asked to use the chatbot to self-report their dietary intake for one week. The results show that the chatbot is easy to interact with and experts praised its simplicity and flexibility. Besides, the chatbot has shown the potential to contribute to dietary intake management.
Original language | English |
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Title of host publication | Human-Centered Software Engineering - 9th IFIP WG 13.2 International Working Conference, HCSE 2022, Proceedings |
Subtitle of host publication | 9th IFIP WG 13.2 International Working Conference, HCSE 2022 |
Editors | Regina Bernhaupt, Carmelo Ardito, Stefan Sauer |
Place of Publication | Eindhoven, The Netherlands |
Publisher | Springer |
Pages | 179-190 |
Number of pages | 12 |
ISBN (Print) | 9783031147845 |
DOIs | |
Publication status | Published - 16 Aug 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13482 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Keywords
- chatbot
- Conversational dietary assessment tool
- Cardiovascular patients
- Cardiac rehabilitation
- Dietary behavior management
- Chatbot