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Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents
Feb. 20, 2024, 5:51 a.m. | Shuai Zhang, Yu Lu, Junwen Liu, Jia Yu, Huachuan Qiu, Yuming Yan, Zhenzhong Lan
cs.CL updates on arXiv.org arxiv.org
Abstract: With the growing humanlike nature of dialog agents, people are now engaging in extended conversations that can stretch from brief moments to substantial periods of time. Understanding the factors that contribute to sustaining these interactions is crucial, yet existing studies primarily focusing on short-term simulations that rarely explore such prolonged and real conversations.
In this paper, we investigate the factors influencing retention rates in real interactions with roleplaying models. By analyzing a large dataset of …
abstract agents arxiv conversations cs.cl dialog humanlike interactions moments nature people playing role studies type understanding
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