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Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues
| USA | technology | βœ“ Verified - arxiv.org

Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues

#Generative Social Agents #Persuasive technology #Physiotherapy motivation #AI ethics #Healthcare AI #Knowledge-based communication #Manipulation risks #Patient adherence

πŸ“Œ Key Takeaways

  • Research examines how knowledge availability affects GSA persuasiveness in physiotherapy contexts
  • Study explores the dual nature of GSAs as both beneficial motivators and potential manipulators
  • Research focuses on balancing AI motivational benefits with manipulation risks
  • Findings suggest GSA communication patterns are directly tied to their knowledge bases

πŸ“– Full Retelling

Researchers at an academic institution announced a new study on February 12, 2026, examining how the knowledge available to Generative Social Agents (GSAs) affects their persuasive capabilities in physiotherapy motivation dialogues, aiming to understand the balance between these AI systems' potential benefits in promoting healthier lifestyles and their risks of manipulation. The study, published on the preprint server arXiv as paper 2602.12924v1, explores the dual nature of GSAs as increasingly influential tools that can motivate users toward personal goals while simultaneously carrying potential risks of manipulation and deception. These risks stem from the limited control over probabilistic outputs that characterize current generative AI systems, particularly in healthcare contexts where patient motivation directly impacts treatment outcomes and recovery processes. According to the abstract, GSAs manifest communicative patterns based on the knowledge available to them, suggesting that their persuasive effectiveness is directly tied to the quality and scope of their training data and knowledge bases, making this research crucial for developing ethical and effective AI-assisted healthcare interventions.

🏷️ Themes

AI ethics, Healthcare technology, Human-computer interaction

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Original Source
arXiv:2602.12924v1 Announce Type: cross Abstract: Generative Social Agents (GSAs) are increasingly impacting human users through persuasive means. On the one hand, they might motivate users to pursue personal goals, such as healthier lifestyles. On the other hand, they are associated with potential risks like manipulation and deception, which are induced by limited control over probabilistic agent outputs. However, as GSAs manifest communicative patterns based on available knowledge, their beha
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Source

arxiv.org

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