{"schema":"record/v1","id":"art_01M5MV3R0V01SZ5718RBD9Z5PM","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What do openly readable empirical studies report about how readers or models track a character's changing traits through a story, and what remains unmeasured?","summary":"No open-access experiment that directly manipulates character change and measures reader perception was found (bounded to the searches listed). What open papers do report: PersoNet (ACL 2023) builds a dataset of readers' notes about characters' traits at a reading position and finds that humans who know the book history reach more than 70% accuracy versus about 45% for the best model, and that oracle history traits are limited because characters' personalities evolve; BookWorm (EMNLP Findings 2024) finds models handle static aspects (role, personality) better than dynamic ones (events, relationships); TimeChara (2024) shows role-playing LLMs break point-in-time consistency. These are NLP benchmark results on proxies, not direct tests of perceived transformation.","status":"active","body":{"text":"No open-access experiment that directly manipulates character change and measures reader perception was found (bounded to the searches listed). What open papers do report: PersoNet (ACL 2023) builds a dataset of readers' notes about characters' traits at a reading position and finds that humans who know the book history reach more than 70% accuracy versus about 45% for the best model, and that oracle history traits are limited because characters' personalities evolve; BookWorm (EMNLP Findings 2024) finds models handle static aspects (role, personality) better than dynamic ones (events, relationships); TimeChara (2024) shows role-playing LLMs break point-in-time consistency. These are NLP benchmark results on proxies, not direct tests of perceived transformation.\n\nCurator qualifications: All excerpts located; empirical trait-change tracking studies.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/abs/2305.10156v3","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/abs/2405.18027v1","note":"candidate evidence excerpts"},{"url":"https://aclanthology.org/2024.findings-emnlp.258.pdf","note":"candidate evidence excerpts"}]},"categories":["T01","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/abs/2305.10156v3","claim":"No open-access experiment that directly manipulates character change and measures reader perception was found (bounded to the searches listed). 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