Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations
Personalization is an important factor to increase the user experience (UX) and effectiveness of mHealth solutions. In this paper, we present an innovative approach to the personalization of mHealth apps. A profiling function has been developed based on the physical and psychological characteristics...
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Format: | Article |
Language: | English |
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MDPI AG
2022-04-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/8/3782 |
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author | Fabio Sartori Marco Savi Jacopo Talpini |
author_facet | Fabio Sartori Marco Savi Jacopo Talpini |
author_sort | Fabio Sartori |
collection | DOAJ |
description | Personalization is an important factor to increase the user experience (UX) and effectiveness of mHealth solutions. In this paper, we present an innovative approach to the personalization of mHealth apps. A profiling function has been developed based on the physical and psychological characteristics of users, with the final aim to cluster them acting as a guideline to the design and implementation of new functionalities to improve the overall acceptance degree of the app. A preliminary analysis case study has been proposed to evaluate the impact on user experience according to the state of the art to draw useful lessons for future works. |
first_indexed | 2024-03-09T11:13:16Z |
format | Article |
id | doaj.art-b55eeab003084fb4b718008666b8255d |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T11:13:16Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-b55eeab003084fb4b718008666b8255d2023-12-01T00:38:36ZengMDPI AGApplied Sciences2076-34172022-04-01128378210.3390/app12083782Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational ConsiderationsFabio Sartori0Marco Savi1Jacopo Talpini2Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126 Milan, ItalyDepartment of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126 Milan, ItalyDepartment of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336, 20126 Milan, ItalyPersonalization is an important factor to increase the user experience (UX) and effectiveness of mHealth solutions. In this paper, we present an innovative approach to the personalization of mHealth apps. A profiling function has been developed based on the physical and psychological characteristics of users, with the final aim to cluster them acting as a guideline to the design and implementation of new functionalities to improve the overall acceptance degree of the app. A preliminary analysis case study has been proposed to evaluate the impact on user experience according to the state of the art to draw useful lessons for future works.https://www.mdpi.com/2076-3417/12/8/3782wearable devicesmHealthwearable expert systemsprofilingbehavior change intervention |
spellingShingle | Fabio Sartori Marco Savi Jacopo Talpini Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations Applied Sciences wearable devices mHealth wearable expert systems profiling behavior change intervention |
title | Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations |
title_full | Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations |
title_fullStr | Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations |
title_full_unstemmed | Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations |
title_short | Tailoring mHealth Apps on Users to Support Behavior Change Interventions: Conceptual and Computational Considerations |
title_sort | tailoring mhealth apps on users to support behavior change interventions conceptual and computational considerations |
topic | wearable devices mHealth wearable expert systems profiling behavior change intervention |
url | https://www.mdpi.com/2076-3417/12/8/3782 |
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