@inproceedings{yang-etal-2026-persona-e2,
    title = "Persona-E{\texttwosuperior}: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events",
    author = "Yang, Yuqin  and
      Zhou, Haowu  and
      Tu, Haoran  and
      Hui, Zhiwen  and
      Yan, Shiqi  and
      Li, HaoYang  and
      She, Dong  and
      Yao, Xianrong  and
      Gao, Yang  and
      Jin, Zhanpeng",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-long.1350/",
    pages = "29290--29315",
    ISBN = "979-8-89176-390-6",
    abstract = "Most affective computing research treats emotion as a static property of text, focusing on the writer{'}s sentiment while overlooking the reader{'}s perspective. This approach ignores how individual personalities lead to diverse emotional appraisals of the same event. Although role-playing Large Language Models (LLMs) attempt to simulate such nuanced reactions, they often suffer from ``personality illusion''{---}relying on surface-level stereotypes rather than authentic cognitive logic. A critical bottleneck is the absence of ground-truth human data to link personality traits to emotional shifts. To bridge the gap, we introduce Persona-E{\texttwosuperior} (Persona-Event2Emotion), a large-scale dataset grounded in annotated MBTI and Big Five traits to capture reader-based emotional variations across news, social media, and life narratives. Extensive experiments reveal that state-of-the-art LLMs struggle to capture precise appraisal shifts, particularly in social media domains. Crucially, we find that personality information significantly improves comprehension, with the Big Five traits alleviating ``personality illusion.'"
}