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English(EN) LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics

用于健康的AI聊天机器人:益处、风险和自我披露研究

一项涉及1,388名荷兰参与者的研究探讨了将AI聊天机器人用于健康相关咨询。研究发现,感知的益处对用户使用聊天机器人的意愿和披露敏感健康信息的意愿产生了积极影响,而感知的风险则与之呈负相关。与高敏感性话题相比,参与者对低敏感性话题表现出更高的使用意愿,尽管个体特征也在这些感知和意愿中发挥了作用。 AI

影响 研究结果表明,用户信任和感知的效用是在敏感健康背景下采用AI的关键驱动因素。

排序理由 该集群包含一篇在arXiv上发表的研究论文,详细介绍了关于将AI聊天机器人用于健康相关主题的研究。

在 arXiv cs.AI 阅读 →

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用于健康的AI聊天机器人:益处、风险和自我披露研究

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该集群包含一篇在arXiv上发表的研究论文,详细介绍了关于将AI聊天机器人用于健康相关主题的研究。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Gwenn Beets, Anniek Jansen, Saar Hommes, Ruben D. Vromans, Leonie Westerbeek, Supraja Sankaran, Julia C. M. van Weert, Emiel J. Krahmer, Nadine Bol ·

    LLMs for health: 感知到的益处、风险、使用AI聊天机器人的意愿以及在敏感健康话题上自我披露的意愿

    arXiv:2607.09253v1 Announce Type: cross Abstract: 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 …

  2. arXiv cs.AI TIER_1 English(EN) · Nadine Bol ·

    医疗领域的大语言模型:感知到的益处、风险、使用AI聊天机器人的意愿以及在敏感健康话题上进行自我披露的意愿

    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 healt…