Large Language Model (LLM) chatbots like ChatGPT have emerged as cognitive scaffolding for autistic users, yet the tension between their utility and risk remains under-articulated. Through an inductive thematic analysis of 3,984 social media posts by self-identified autistic users, we apply a technology affordance lens to examine this duality. We found that while users leveraged ChatGPT to offload executive dysfunction, regulate emotions, translate neurotypical communication, and validate their autistic identity, these affordances coexist with risks to their well-being: reinforcing delusional thinking, erasing authentic identity through automated masking, and triggering conflicts with the autistic sense of justice. As part of our preliminary work, this poster identifies trade-offs in autistic users' interactions with ChatGPT and concludes by outlining our future work on developing neuro-inclusive technologies that address these tensions through beneficial friction, bidirectional translation, and the delineation of emotional validation from reality.

翻译：像ChatGPT这样的大型语言模型聊天机器人已成为自闭症用户的认知支架，但其效用与风险之间的张力仍未被充分阐述。通过对3,984条自认自闭症用户的社交媒体帖子进行归纳性主题分析，我们运用技术可供性视角审视这种双重性。研究发现，用户虽借助ChatGPT缓解执行功能障碍、调节情绪、转译神经典型沟通方式并验证自闭症身份认同，但这些可供性同时伴随着对其福祉的风险：强化妄想思维、通过自动化掩饰消解真实身份、以及触发与自闭症正义感的冲突。作为前期工作，本海报识别了自闭症用户与ChatGPT交互中的权衡，最后通过提出开发神经包容性技术的未来工作来应对这些张力，具体途径包括有益摩擦、双向翻译，以及情绪验证与现实界限的划分。