A longstanding challenge in mental well-being support is the reluctance of people to adopt psychologically beneficial activities, often due to 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 well-being support through multi-turn conversation and recommend practical actions grounded in positive psychology and social psychology. 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，这通常源于缺乏动机、对推荐可信度的低感知以及个性化程度不足。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欠拟人化的对话体验存在显著局限。本研究探讨拟人化设计（包括LLM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，旨在通过多轮对话提供个性化健康支持，并基于积极心理学与社会心理学推荐实践行动。通过对比Sunnie与传统基于调查问卷的活动推荐系统的用户体验实证研究发现：Sunnie的拟人化特征显著提升了用户对系统的感知及整体可用性；然而，用户采纳活动推荐的意愿并未发生显著变化。