A longstanding challenge in mental well-being support is the reluctance of people to adopt psychologically beneficial activities, often due to a lack of motivation, low perceived trustworthiness, and limited personalization of recommendations. Chatbots have shown promise in promoting positive mental health practices, yet their rigid interaction flows and less human-like conversational experiences present significant limitations. In this work, we explore whether the anthropomorphic design (both LLM's persona design and conversational experience design) can enhance users' perception of the system and their willingness to adopt mental well-being activity recommendations. To this end, we introduce Sunnie, an anthropomorphic LLM-based conversational agent designed to offer personalized guidance for mental well-being support through multi-turn conversation and activity recommendations based on positive psychological theory. An empirical user study comparing the user experience with Sunnie and with a traditional survey-based activity recommendation system suggests that the anthropomorphic characteristics of Sunnie significantly enhance users' perception of the system and the overall usability; nevertheless, users' willingness to adopt activity recommendations did not change significantly.

翻译：心理健康支持领域长期存在的一个挑战是，人们往往不愿采纳具有心理益处的活动，这通常源于动机不足、可信度感知较低以及推荐个性化程度有限。聊天机器人在推广积极心理健康实践方面已展现出潜力，但其僵化的交互流程和不够拟人化的对话体验存在显著局限。本研究探讨了拟人化设计（包括LLM的角色设计与对话体验设计）能否提升用户对系统的感知及其采纳心理健康活动推荐的意愿。为此，我们提出了Sunnie——一种基于LLM的拟人化对话代理，旨在通过多轮对话和基于积极心理学理论的活动推荐，为心理健康支持提供个性化指导。一项对比Sunnie与传统基于问卷的活动推荐系统用户体验的实证研究表明，Sunnie的拟人化特性显著提升了用户对系统的感知和整体可用性；然而，用户采纳活动推荐的意愿并未发生显著变化。