“我和AI聊天机器人聊了，然后呢？”美国年轻人如何设想负责任AI用于情绪应对
"I Talked an AI Chatbot, So What's Next?" How U.S. Young Adults Imagine Responsible AI for Emotion Coping
- The University of Texas at Austin（德克萨斯大学奥斯汀分校）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过场景研究考察AI聊天机器人如何影响情绪应对的关系条件，提出负责任AI应回应个体关系条件，并确定促进互惠与增强情绪自我效能两个设计原则。
AI中文摘要：
情绪应对本质上是关系性的，它通过与朋友、家人、专业人士和社区的互动展开。然而，AI聊天机器人大多围绕用户与AI的二元关系设计。借鉴关怀伦理，我们考察了AI聊天机器人如何塑造情绪应对的关系条件。我们开展了一项基于场景的研究，涉及17名美国年轻人，涵盖四种情绪应对场景。参与者确定了AI可以支持关系条件的八种角色，同时指出了三个挑战：扁平化不同的关系条件、阻碍互惠性以及将关系劳动转嫁给用户。本研究为负责任AI在情绪应对中贡献了一个关系性视角。我们认为，负责任AI应回应个体所处的关系条件，而非提供通用支持。我们进一步确定了两个设计原则：通过提供与他人互动的材料来促进互惠性，以及增强情绪自我效能。总之，我们将负责任AI定位为人类关系回路中的AI。
英文摘要：
Emotion coping is inherently relational, unfolding through interactions with friends, family, professionals, and communities. Yet AI chatbots are largely designed around a user--AI dyad. Learning from the ethics of care, we examine how AI chatbots shape the relational conditions of emotion coping. We conducted a scenario-based study with 17 U.S. young adults across four emotion coping scenarios. Participants identified eight roles through which AI could support relational conditions, alongside three challenges: flattening distinct relational conditions, discouraging reciprocity, and shifting relational labor onto users. This study contributed a relational perspective of responsible AI in emotion coping. We argue that responsible AI should respond to individuals' situated relational conditions rather than provide general-purpose support. We further identify two design principles: fostering reciprocity by supplying materials to engage with others, and strengthening emotional self-efficacy. Together, we position responsible AI as AI in the loop of human relationships.
