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Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Persona usage in LLMs: the distinction between Role-Playing and Personalization, application domains, and personality assessment methods.

Research Questions

  1. How can persona usage in LLMs be systematically classified?
  2. Is a persona assigned to the LLM (Role-Playing), or is it applied to the user (Personalization)?
  3. How can personality assessment be conducted for LLMs?

Results

  • The fundamental distinction in persona research is between Role-Playing (the LLM adopting a persona) and Personalization (the system adapting to the user’s persona).
  • Role-Playing is used to improve task performance in domains such as software development, gaming, and medicine.
  • Personalization focuses on meeting user needs in areas like search, recommendations, education, and healthcare.
  • Evaluation typically relies on psychometric tests such as the Big Five Inventory (BFI) or the MBTI, though LLMs exhibit limited personality consistency.

Findings

  • Role-Playing:
    • Applied in single-agent scenarios (e.g., Voyager in gaming) or multi-agent scenarios (e.g., software development, medical workflows).
    • In multi-agent settings, dynamics such as voluntary cooperation, coordination, and even destructive behaviours (toxicity, jailbreaking) can emerge.
  • Personalization:
    • Generates tailored recommendations and experiences by incorporating user history and contextual information.
  • Application Overlap:
    • In some cases, Role-Playing and Personalization can be used together, though their objectives differ.
  • Risks:
    • Persona assignment can introduce bias and create safety vulnerabilities.
  • Assessment:
    • Although LLMs often mimic intended persona traits, the generalisability of human psychometric tests to LLMs remains questionable.

Scores

  • LLM Models: 5
  • Synthetic Data: 3
  • Method: 4
  • Speed: 1
  • Ethics: 4
  • Accuracy: 2
  • Demographics: 2

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