Evidence map›Paper›PMID 42124887›Full record

ArticleFrontiers in artificial intelligence2026

Never say never: exploring the effects of knowledge availability on agent persuasiveness in controlled physiotherapy motivation dialogues.

Stephan Vonschallen, Rahel Häusler, Theresa Schmiedel, Friederike Eyssel

Abstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Stephan VonschallenInstitute of Business Information Technology, Zurich University of Applied Sciences, Winterthur, Switzerland.
Rahel HäuslerInstitute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland.
Theresa SchmiedelInstitute of Business Information Technology, Zurich University of Applied Sciences, Winterthur, Switzerland.
Friederike EysselCenter for Cognitive Interaction Technology, Bielefeld University, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative Social Agents (GSAs) have the capability to influence their human users through persuasive communication. On the one hand, they might motivate users to pursue positive personal goals, such as following a healthier lifestyle. On the other hand, GSAs are linked to negative outcomes like manipulation and deception. These emerge as a consequence of the fact that we only have limited control over probabilistic agent outputs. However, at the same time, GSAs manifest communicative patterns based on available knowledge. Therefore, their communication behavior can be shaped by regulating their access to such knowledge. Following this approach, we explored persuasive messages from GSAs in the context of human-robot physiotherapy motivation. We did this by comparing ChatGPT-generated responses to predefined inputs from a hypothetical patient in physiotherapy. In Study 1, we qualitatively analyzed 14 ChatGPT-generated dialogue scripts with varying knowledge configurations. In Study 2, third-party observers (

Indexed as

generative AIhuman-agent interactionlarge language modelsmotivationpersuasionphysiotherapysocial robots

Identifiers

PMID42124887
PMCPMC13158937

What OpenQuestion holds

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LicenceCC BY
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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.