Cinema Multiverse Lounge: Enhancing Film Appreciation via Multi-Agent Conversations

要旨

Advancements in large language models (LLMs) enable the development of interactive systems that enhance user engagement with cinematic content. We introduce \textit{Cinema Multiverse Lounge}, a multi-agent conversational system where users interact with LLM-based agents embodying diverse film-related personas. We investigate how user interactions with these agents influence their film appreciation. Thirty participants engaged in three discussion sessions, freely selecting persona agents such as film characters, filmmakers, or anonymous audiences. We explored how users composed different combinations of personas, the factors affecting their engagement and interpretation, and how diverse perspectives influenced film appreciation. Results indicate that interactions with varied agents enhanced participants’ appreciation by enabling the exploration of multiple viewpoints and fostering deeper narrative engagement. Moreover, the unexpected clashes between different worldviews added a fresh and enjoyable layer to the interactions. Our findings provide empirical insights and design implications for developing multi-agent systems that support enriched media consumption experiences.

著者
Kyusik Kim
Seoul National University, Seoul, Korea, Republic of
Jeongwoo Ryu
Seoul National University, Seoul, Korea, Republic of
Dongseok Heo
Seoul National University, Seoul, Korea, Republic of
Hyungwoo Song
Seoul National University, Seoul, Korea, Republic of
Changhoon Oh
Yonsei University, Seoul, Korea, Republic of
Bongwon Suh
Seoul National University, Seoul, Korea, Republic of
DOI

10.1145/3706598.3713641

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713641

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Experience Together

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7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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