Trait Activation in Silicon: A Situation-Aware Framework for Psychologically Grounded Role-Playing

Zuolong Li, Pingyu Wu, Xianwen Huang, Tianyi Wei, Wenbo Zhou


Abstract
Role-playing agents (RPAs) have made significant strides in mimicking static character identities. However, their personality simulations remain superficial, lacking a profound understanding of complex human psychological mechanisms. We identify a critical bottleneck termed "**Personality Inertia**"—a behavioral rigidity where RLHF-induced alignment bias traps models in a sanitized, "helpful assistant" persona. This inertia prevents models from adapting to diverse social contexts or expressing essential but negative traits under pressure. To bridge this gap, we propose **PD-LLM**, a situation-aware framework grounded in *Trait Activation Theory*. PD-LLM introduces **Bipolar Latent Decomposition**, which decouples personality traits into bidirectional LoRA adapters. These adapters are dynamically modulated by a situation-aware module based on the *DIAMONDS taxonomy*, allowing for precise behavioral regulation. Empirical results show that while baseline methods fail to synchronize multidimensional traits under pressure, PD-LLM achieves superior performance in both **static fidelity** and **dynamic adaptability**. By advancing from prompt engineering to intrinsic parameter control, PD-LLM effectively overcomes personality rigidity, facilitating the creation of vivid and psychologically consistent agents.
Anthology ID:
2026.acl-long.1792
Volume:
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
July
Year:
2026
Address:
San Diego, California, United States
Editors:
Maria Liakata, Viviane P. Moreira, Jiajun Zhang, David Jurgens
Venue:
ACL
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Publisher:
Association for Computational Linguistics
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Pages:
38680–38698
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URL:
https://preview.aclanthology.org/ingest-acl/2026.acl-long.1792/
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Cite (ACL):
Zuolong Li, Pingyu Wu, Xianwen Huang, Tianyi Wei, and Wenbo Zhou. 2026. Trait Activation in Silicon: A Situation-Aware Framework for Psychologically Grounded Role-Playing. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 38680–38698, San Diego, California, United States. Association for Computational Linguistics.
Cite (Informal):
Trait Activation in Silicon: A Situation-Aware Framework for Psychologically Grounded Role-Playing (Li et al., ACL 2026)
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https://preview.aclanthology.org/ingest-acl/2026.acl-long.1792.pdf
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