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我能信任我的身体吗?ChatGPT 在我惊恐发作支持系统中角色的三年自我民族志研究

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该 arXiv 预印本(cs.HC)以第一作者三年使用 ChatGPT 应对惊恐障碍的经历为对象,结合对话记录、个人记录及亲友与专业人员叙述做分析性自我民族志。叙事分析显示:熟悉的解释可降低对躯体感受的恐惧,症状变化会重新引发重病担忧;突发惊恐时建议难以执行,部分回复反而促使进一步检查,且对话结束后症状、检查或求助行为仍可能持续。作者据此提出惊恐期间及之后的轨迹级安全框架:Fit(可用建议)、Closure(为反复检查与寻求安慰提供停止点)、Continuity(长期可用的理解与人类支持)。

AI推荐理由 arXiv 预印本,作者为 Dongyijie Primo Pan、Pan Hui、Mirjana Prpa,提交于 2026-09-18,属 HCI 领域。核心新信息是三年分析性自我民族志,追踪 ChatGPT 在惊恐障碍支持中的角色演变,并提出轨迹级安全三要素:Fit(可用建议)、Closure(停止反复检查与寻求安慰的终点)、Continuity(长期可用的理解与人类支持)。局限在于样本为单一作者自述,结论不可外推,且摘要未给出量化证据;对 AI 心理健康应用与 Agent 安全设计有参考价值,但非模型或产品首发。

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Computer Science > Human-Computer Interaction arXiv:2609.21925 (cs) [Submitted on 18 Sep 2026] Title:Can I Trust My Body? A Three-Year Autoethnography of ChatGPT's Place in My Support System for Panic Attacks Authors:Dongyijie Primo Pan, Pan Hui, Mirjana Prpa View a PDF of the paper titled Can I Trust My Body? A Three-Year Autoethnography of ChatGPT's Place in My Support System for Panic Attacks, by Dongyijie Primo Pan and 2 other authors View PDF HTML (experimental) Abstract:People increasingly seek mental health support from large language models, yet little is known about their use across years of recurrent panic. We present a three-year analytic autoethnography of the first author's ChatGPT use while living with panic disorder, drawing on conversations, personal records, and accounts from friends or family members and professionals. Narrative analysis traces how my questions shaped ChatGPT's roles and how earlier experiences influenced later responses to symptoms. Familiar explanations could make sensations less frightening, while changed symptoms renewed fears of serious illness. During sudden panic, advice could be difficult to follow, and some replies prompted further checking. Conversations could end while symptoms, checking, or help-seeking continued. We propose trajectory-level safety during and after panic: usable advice (Fit), a stopping point for repeated checking and reassurance seeking (Closure), and useful understanding and human support that remain available over time (Continuity). Comments: Subjects: Human-Computer Interaction (cs.HC) Cite as: arXiv:2609.21925 [cs.HC] (or arXiv:2609.21925v1 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2609.21925 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Donyijie Primo Pan [view email] [v1] Fri, 18 Sep 2026 15:47:01 UTC (148 KB) Full-text links: Access Paper: View a PDF of the paper titled Can I Trust My Body? A Three-Year Autoethnography of ChatGPT's Place in My Support System for Panic Attacks, by Dongyijie Primo Pan and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.HC new | recent | 2026-09 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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