mlsanityData to 14 Oct 2026

Understanding Persuasive Interactions between Generative Social Agents and Humans: The Knowledge-based Persuasion Model (KPM)

arXiv 2602.11483 ↗First posted 12 Feb 2026cs.HC cs.AIcited by 3

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Abstract (arXiv)

Generative social agents (GSAs) use artificial intelligence to autonomously communicate with human users in a natural and adaptive manner. Currently, there is a lack of theorizing regarding interactions with GSAs, and likewise, few guidelines exist for studying how they influence user attitudes and behaviors. Consequently, we propose the Knowledge-based Persuasion Model (KPM) as a novel theoretical framework. According to the KPM, a GSA's self-, user-, and context-knowledge drives its persuasive behavior, which in turn shapes attitudes and behaviors of a responding human user. Building on existing research, the model offers a structured approach to studying interactions with GSAs, supporting the development of agents that motivate rather than manipulate human users. Accordingly, the KPM encourages the integration of responsible GSAs that adhere to social norms and ethical standards with the goal of increasing user wellbeing. A preliminary evaluation study, as well as implications of the KPM for research and application domains such as healthcare and education are discussed.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 32 of its 161 references that are in the map. First posted on arXiv 12 Feb 2026.

Builds on

32 of 161 references.

References · 32

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2022Language Models (Mostly) Know What They Knowcited by 1,856
  3. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 619
  4. 2023A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Uglycited by 387
  5. 2023Character-LLM: A Trainable Agent for Role-Playingcited by 339
  6. 2024Debating with More Persuasive LLMs Leads to More Truthful Answerscited by 266
  7. 2023PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traitscited by 234
  8. 2023Personality Traits in Large Language Modelscited by 169
  9. 2024On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialcited by 109
  10. 2023Self-Knowledge Guided Retrieval Augmentation for Large Language Modelscited by 69
  11. 2024Aligning LLM Agents by Learning Latent Preference from User Editscited by 69
  12. 2024Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometricscited by 59
20 more
  1. 2024People cannot distinguish GPT-4 from a human in a Turing testcited by 48
  2. 2024Understanding Large-Language Model (LLM)-powered Human-Robot Interactioncited by 43
  3. 2025ChatBench: From Static Benchmarks to Human-AI Evaluationcited by 34
  4. 2024LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Modelscited by 33
  5. 2024Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Languagecited by 31
  6. 2025Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnairescited by 25
  7. 2024LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actionscited by 22
  8. 2023An Evaluation on Large Language Model Outputs: Discourse and Memorizationcited by 20
  9. 2024ControlLM: Crafting Diverse Personalities for Language Modelscited by 15
  10. 2025An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainabilitycited by 15
  11. 2024TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigationcited by 11
  12. 2025A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impactscited by 10
  13. 2024Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraftcited by 9
  14. 2025A Meta-Analysis of the Persuasive Power of Large Language Modelscited by 7
  15. 2023In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?cited by 6
  16. 2024Appropriateness of LLM-equipped Robotic Well-being Coach Language in the Workplace: A Qualitative Evaluationcited by 5
  17. 2024How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Surveycited by 4
  18. 2024Does ChatGPT and Whisper Make Humanoid Robots More Relatable?cited by 3
  19. 2025Exploring persuasive interactions with generative social robots: An experimental frameworkcited by 3
  20. 2024Rapid Integration of LLMs in Healthcare Raises Ethical Concerns: An Investigation into Deceptive Patterns in Social Robotscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026Knowledge-Based Design Requirements for Generative Social Robots in Higher Educationcited by 1
  2. 2026Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialoguescited by 0
  3. 2026Teachy Mini: Development and Preliminary Evaluation of a Knowledge-Based Generative Social Robot for Higher Educationcited by 0