发表机构
Tilburg University; University of Amsterdam（蒂尔堡大学; 阿姆斯特丹大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究探讨与AI聊天机器人讨论的话题类型及个体特征对健康相关感知、使用意愿和自我披露意愿的影响，通过在线实验发现其主要与感知利弊和个人特征有关，而非话题类型。
AI 中文摘要
人工智能聊天机器人越来越多地用于回答与健康相关的问题。本研究考察了与人工智能聊天机器人讨论的话题类型和个体特征对感知到的益处和风险、使用人工智能聊天机器人的意愿以及自我披露健康信息的意愿的作用。我们在荷兰代表性样本（N = 1388）中进行了一项具有2（话题类型：身体与心理，组间）x 2（话题敏感性：低与高，组内）混合设计的在线实验。结果表明，感知到的益处与自我披露的意愿和意图呈正相关，而感知到的风险呈负相关。此外，与高敏感话题相比，参与者对低敏感话题的使用意图更高。此外，感知、意图和自我披露的意愿因个体特征而异。总体而言，我们的研究结果表明，使用人工智能聊天机器人的意图和与健康相关信息的自我披露主要与感知到的益处和风险以及个人特征有关，而不是与话题类型有关。
英文摘要
AI chatbots are increasingly used for answering health-related questions. This study examines the role of topic type discussed with an AI chatbot and individual characteristics on perceived benefits and risks, intention to use an AI chatbot, and willingness to self-disclose health information. We conducted an online experiment with a 2 (topic type: physical versus psychological, between-subjects) x 2 (topic sensitivity: low versus high, within-subjects) mixed design among a Dutch representative sample (N = 1,388). Results showed that perceived benefits were positively associated with intention and willingness to self-disclose, while perceived risks were negatively associated. Moreover, participants reported higher usage intentions for low-sensitive topics compared to high-sensitive topics. Furthermore, perceptions, intention, and willingness to self-disclose varied by individual characteristics. Overall, our findings suggest that intentions to use AI chatbots and self-disclosure of health-related information are primarily related to perceived benefits and risks and to personal characteristics rather than to topic type.
