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Title: | Investigating Motivations and Patient Profiles for Personalization of Health Applications for Behaviour Change | Authors: | BONNEUX, Cindel DENDALE, Paul CONINX, Karin |
Issue Date: | 2022 | Publisher: | ACM - Association for Computing Machinery | Source: | ACM - Association for Computing Machinery (Ed.). PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, ACM - Association for Computing Machinery, p. 146 -154 | Abstract: | Personalization is a key aspect when developing applications targeting health behaviour change. However, the use of personalized mobile interventions for lifestyle behaviour is still in its infancy. Based on our former research on mobile applications to support cardiac patients in health behaviour change, we identified four key motivations to enhance the personalization offered in applications targeting health behaviour change. In this paper, we propose a mixed-methods approach, using both qualitative and quantitative data collected in prior studies, to apply personalization in the design of health applications. Our approach consists of five steps: 1) collecting data for personalization, 2) detecting patient profiles using clustering methods, 3) understanding patient profiles using a graph-ical representation, 4) describing patient profiles using personas, and 5) personalizing a health application according to patient profiles. One of the major strengths of our approach is that it combines established HCI techniques such as personas and data visualization techniques with methods from big data analytics and artificial intelligence to identify ways to personalize health applications. We conclude by presenting future directions to apply personalization in the domain of health technologies. | Notes: | Bonneux, C (corresponding author), UHasselt, Fac Sci, HCI, Diepenbeek, Belgium.; Bonneux, C (corresponding author), eHealth, Diepenbeek, Belgium. cindel.bonneux@uhasselt.be; paul.dendale@uhasselt.be; karin.coninx@uhasselt.be |
Keywords: | CCS CONCEPTS • Human-centered computing → HCI design and evaluation methods;• Applied computing → Health informatics;• Infor- mation systems → Personalization KEYWORDS personalization, behaviour change, eHealth, user-centered design, approach | Document URI: | http://hdl.handle.net/1942/39214 | ISBN: | 9781450396318 | DOI: | 10.1145/3529190.3529201 | ISI #: | 001054845600020 | Rights: | 2022 Association for Computing Machinery. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. PETRA ’22, June 29-July 1, 2022, Corfu, Greece | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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petra22-11 - Investigating Motivations etc - published.pdf Restricted Access | Published version | 1.06 MB | Adobe PDF | View/Open Request a copy |
2022 PETRA paper - author version.pdf | Peer-reviewed author version | 1.06 MB | Adobe PDF | View/Open |
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