Contextualising Goal Setting for Behaviour Change – from Baby Steps to Value Directions

Lindgren, Helena; Weck, Saskia

doi:10.1145/3552327.3552342

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…The person-tailored argumentation-based decision-support system developed as a part of this research rests on complementary theoretical frameworks developed within different fields of research to encompass the human-centric approach: (i) on human activity (Kaptelinin and Nardi, 2006 ; Lindgren and Weck, 2022 ), (ii) motivation and behavior change (Ryan and Deci, 2000 ; Prochaska et al, 2015 ; Lindgren and Weck, 2021 ), (iii) argumentation theory (Walton and Krabbe, 1995 ; Bench-Capon, 2002 ; Walton et al, 2008 ), and (iv) formal argument-based dialogues for reasoning about health (Atkinson et al, 2006 ; Lindgren et al, 2020 ; Guerrero and Lindgren, 2021a , b ).…”

Section: Background and Related Workmentioning

confidence: 99%

“…In setting goals and deliberating on what to do to promote healthy habits, e.g., in motivational dialogues with a nurse or in argument-based dialogues with a digital companion, moving between the levels of the activity hierarchy is necessary to find the grounds for why doing a particular action or activity, to formulate the motivating arguments relevant and importance for the individual. The connection between needs, long-term goals, and short-term goals was explored by Lindgren and Weck ( 2022 ), and a model of activity encompassing the building blocks for arguments across the levels of activity was defined. Furthermore, to identify the factors affecting an individual's motivation to change behavior, a model of the behavior change progress was built based on the most influential theories on motivation and behavior change (Lindgren and Weck, 2021 ).…”

Section: Background and Related Workmentioning

confidence: 99%

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Argument-based human–AI collaboration for supporting behavior change to improve health

Kilic

Weck²,

Kampik³

et al. 2023

Front. Artif. Intell.

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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.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Argument-based human–AI collaboration for supporting behavior change to improve health

Kilic

Weck²,

Kampik³

et al. 2023

Front. Artif. Intell.

View full text Add to dashboard Cite

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Evaluating Mobile Apps Targeting Personal Goals

Lolla

Sas

2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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Developing teamwork: transitioning between stages in human-agent collaboration

Kaelin,

Tewari,

Benouar

et al. 2024

Front. Comput. Sci.

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IntroductionHuman-centric artificial intelligence (HCAI) focuses on systems that support and collaborate with humans to achieve their goals. To better understand how collaboration develops in human-AI teaming, further exploration grounded in a theoretical model is needed. Tuckman's model describes how team development among humans evolves by transitioning through the stages of forming, storming, norming, performing, and adjourning. The purpose of this pilot study was to explore transitions between the first three stages in a collaborative task involving a human and a human-centric agent.MethodThe collaborative task was selected based on commonly performed tasks in a therapeutic healthcare context. It involved planning activities for the upcoming week to achieve health-related goals. A calendar application served as a tool for this task. This application embedded a collaborative agent designed to interact with humans following Tuckman's stages of team development. Eight participants completed the collaborative calendar planning task, followed by a semi-structured interview. Interviews were transcribed and analyzed using inductive content analysis.ResultsThe results revealed that the participants initiated the storming stage in most cases (n = 7/8) and that the agent initiated the norming stage in most cases (n = 5/8). Additionally, three main categories emerged from the content analyses of the interviews related to participants' transition through team development stages: (i) participants' experiences of Tuckman's first three stages of team development; (ii) their reactions to the agent's behavior in the three stages; and (iii) factors important to the participants to team up with a collaborative agent.ConclusionResults suggest ways to further personalize the agent to contribute to human-agent teamwork. In addition, this study revealed the need to further examine the integration of explicit conflict management into human-agent collaboration for human-agent teamwork.

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Contextualising Goal Setting for Behaviour Change – from Baby Steps to Value Directions

Cited by 3 publications

References 20 publications

Argument-based human–AI collaboration for supporting behavior change to improve health

Argument-based human–AI collaboration for supporting behavior change to improve health

Evaluating Mobile Apps Targeting Personal Goals

Developing teamwork: transitioning between stages in human-agent collaboration

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