AI RESEARCH
Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis
arXiv CS.CL
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ArXi:2605.28037v1 Announce Type: new Prompt-based personality control is a key technique for designing large language model (LLM) dialogue agents that behave consistently across social contexts. However, specifying Big Five personality traits (BFTs) in a prompt does not ensure that the intended traits are expressed in generated utterances. This paper investigates this mismatch from an interactionist perspective, viewing personality expression as a context-dependent outcome shaped by the interplay between trait specification and situational factors.