Evidence map›Paper›PMID 42089025›Full record

ArticleFrontiers in digital health2026

Behavior change beyond intervention: an activity-theoretical perspective on human-centered design of personal health technology.

Victor Kaptelinin, Kaan Kilic, Helena Lindgren

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Victor KaptelininDepartment of Informatics, Umeå University, Umeå, Sweden.
Kaan KilicDepartment of Computing Science, Umeå University, Umeå, Sweden.
Helena LindgrenDepartment of Computing Science, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Modern personal technologies, such as smartphone apps with artificial intelligence (AI) capabilities, have a significant potential for helping people make necessary changes in their behavior (e.g., adopt healthier lifestyles). Current research highlights that realizing this potential through the design and use of personal technologies calls for a critical reappraisal of the role of healthcare interventions as the driving force of behavior change and requires a more explicit focus on human agency and experience. Methods: This paper contributes to this line of investigation by developing and presenting a conceptual framework, informed by activity theory, which views behavior change as an outcome of the combined agencies of healthcare professionals, technology designers, and, most importantly, the persons themselves. Results: According to the framework, the process of behavior change can be represented as a transformation, achieved through an interplay between the activity systems of intervention, development, and empowerment. In addition to presenting the conceptual framework, we offer insights into how these ideas can be implemented through examples of digital companions. Discussion: Implications of the analysis for the design of personal technologies for supporting healthier lifestyles, with a special focus on intelligent digital companions, are discussed.

Indexed as

activity theorybehavior changedevelopmentintelligent digital companionsinterventionpersuasive technology

Identifiers

PMID42089025
PMCPMC13136132

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.