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Kilic, Kaan
Publications (3 of 3) Show all publications
Lindgren, H. & Kilic, K. (2025). Participatory design and evaluation of digital coaching for improving health—the star multicomponent lifestyle intervention. Frontiers in Digital Health, 7, Article ID 1600535.
Open this publication in new window or tab >>Participatory design and evaluation of digital coaching for improving health—the star multicomponent lifestyle intervention
2025 (English)In: Frontiers in Digital Health, E-ISSN 2673-253X, Vol. 7, article id 1600535Article in journal (Refereed) Published
Abstract [en]

Introduction: There are particular challenges when designing and developing a digital coaching application aimed at providing person-tailored support for lifestyle changes in multiple domains to promote health. This study explored how a participatory design process addresses challenges that materialised in a multicomponent lifestyle intervention, providing an understanding of the onboarding experience and early user engagement.

Method: A participatory design methodology was applied involving a multidisciplinary team of 12 domain experts and different groups of end users in design cycles, model construction, prototyping, and evaluation. The process followed a design methodology for argument-based health information systems and a framework for layered interactive adaptive systems to engage domain experts in the development of aspects relating to the interactivity of the system. A qualitative user study was conducted with eight participants, five regular users and three nurses, focussing on the onboarding phase.

Results: Contributions of this article are (i) the StarCoach, the person-tailored health-promotion intervention for multiple health behaviours supporting short and long-term goals; (ii) a framework for studying multicomponent lifestyle interventions with multiple behaviour change techniques (BCTs); and (iii) qualitative results regarding usage, adherence to, and perceived effects of the intervention with a focus on the initial phase of using the application. The five regular participants reported increased health-promoting activities during the onboarding phase and were using already habituated activities to establish a routine to use the intervention.

Conclusion: The participatory design led to StarCoach embedding clusters of BCTs, which build a framework for research on multicomponent lifestyle interventions. Whether using already habituated activities to establish a routine to use the intervention could be a strategy to increase adherence and engagement in the onboarding phase and beyond will be a focus in future studies. The participants also showed increased engagement in their chosen lifestyle-change activities during the study period. The findings will be followed up in future studies to evaluate the effects on behaviour over a longer period of time.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2025
Keywords
behaviour change, behaviour change techniques, cardiovascular disease, computational argumentation, human–AI interaction, mHealth, participatory design, personalisation
National Category
Epidemiology Public Health, Global Health and Social Medicine Human Computer Interaction
Identifiers
urn:nbn:se:umu:diva-241743 (URN)10.3389/fdgth.2025.1600535 (DOI)001509871000001 ()40529606 (PubMedID)2-s2.0-105008240479 (Scopus ID)
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2018-01461Marianne and Marcus Wallenberg Foundation, MMW 2019.0220Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Available from: 2025-07-01 Created: 2025-07-01 Last updated: 2025-07-01Bibliographically approved
Persiani, M., Guerrero Rosero, E., Brännström, A., Kilic, K. & Kampik, T. (2024). Fantastic argumentation tools and where to find them. In: Borg A.M.; Ellmauthaller S.; Mailly J.-G.; Niskanen A. (Ed.), SAFA 2024: international workshop on systems and algorithms for formal argumentation. Paper presented at SAFA2024: The Fifth International Workshop on Systems and Algorithms for Formal Argumentation, Hagen, Germany, September 17, 2024 (pp. 56-68). CEUR-WS
Open this publication in new window or tab >>Fantastic argumentation tools and where to find them
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2024 (English)In: SAFA 2024: international workshop on systems and algorithms for formal argumentation / [ed] Borg A.M.; Ellmauthaller S.; Mailly J.-G.; Niskanen A., CEUR-WS , 2024, p. 56-68Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a survey of software for computational argumentation, focusing on tools and libraries that can be re-used for building applications. The (so far preliminary) survey is intended as a continuously updated resource that researchers and potential practitioners can refer to when selecting tools for their argumentation use cases. The survey results indicate that while a plethora of argumentation tools exist, covering various formal argumentation approaches, the software engineering maturity of the tool ecosystem is low. For example, while many tools are openly available, few are properly documented and covered by automated tests. We argue that many of these shortcomings can be straightforwardly addressed by following simple engineering practices if community consensus regarding basic requirements for software artifacts can be established, as is the case in software engineering-oriented communities.

Place, publisher, year, edition, pages
CEUR-WS, 2024
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3757
Keywords
Computational Argumentation, Systems for Formal Argumentation, Tools for Formal Argumentation
National Category
Computer Systems
Research subject
Computer Systems
Identifiers
urn:nbn:se:umu:diva-228983 (URN)2-s2.0-85204392976 (Scopus ID)
Conference
SAFA2024: The Fifth International Workshop on Systems and Algorithms for Formal Argumentation, Hagen, Germany, September 17, 2024
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP), 570011330
Available from: 2024-08-30 Created: 2024-08-30 Last updated: 2024-10-07Bibliographically approved
Kilic, K., Weck, S., Kampik, T. & Lindgren, H. (2023). Argument-based human–AI collaboration for supporting behavior change to improve health. Frontiers in Artificial Intelligence, 6, Article ID 1069455.
Open this publication in new window or tab >>Argument-based human–AI collaboration for supporting behavior change to improve health
2023 (English)In: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 6, article id 1069455Article in journal (Refereed) Published
Abstract [en]

This article presents an empirical requirement elicitation study for an argumentation-based digital companion for supporting behavior change, whose ultimate goal is the promotion and facilitation of healthy behavior. The study was conducted with non-expert users as well as with health experts and was in part supported by the development of prototypes. It focuses on human-centric aspects, in particular user motivations, as well as on expectations and perceptions regarding the role and interaction behavior of a digital companion. Based on the results of the study, a framework for person tailoring the agent's roles and behaviors, and argumentation schemes are proposed. The results indicate that the extent to which a digital companion argumentatively challenges or supports a user's attitudes and chosen behavior and how assertive and provocative the companion is may have a substantial and individualized effect on user acceptance, as well as on the effects of interacting with the digital companion. More broadly, the results shed some initial light on the perception of users and domain experts of “soft,” meta-level aspects of argumentative dialogue, indicating potential for future research.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2023
Keywords
argumentation schemes, behavior change, digital companion, formal argumentation dialogues, health promotion, Human-Centered Artificial Intelligence, user-modeling, value-based argumentation
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-205786 (URN)10.3389/frai.2023.1069455 (DOI)000942156200001 ()36872933 (PubMedID)2-s2.0-85149508964 (Scopus ID)
Funder
Marianne and Marcus Wallenberg Foundation, MMW 2019.0220Wallenberg AI, Autonomous Systems and Software Program (WASP)Forte, Swedish Research Council for Health, Working Life and Welfare, 2018- 01461EU, Horizon 2020, 952026
Available from: 2023-04-03 Created: 2023-04-03 Last updated: 2023-04-03Bibliographically approved
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