Neurocognitive disorders (NCDs), such as Alzheimer's disease, are globally prevalent and require scalable screening methods for proactive management. Prior research has explored the potential of technologies like conversational AI (CAI) to administer NCD screening tests. However, challenges remain in designing CAI-based solutions that make routine NCD screening socially acceptable, engaging, and capable of encouraging early medical consultation. In this study, we conducted interviews with 36 participants, including clinicians, individuals at risk of NCDs, and their caregivers, to explore the speculative future of adopting CAI for NCD screening. Our findings reveal shared expectations, such as deploying CAI in home or community settings to reduce social stress. Nonetheless, conflicts emerged among stakeholders, for example, users' need for emotional support may conflict with clinicians' preference for CAI's professional and standardized administration. Then, we look into the user journey of NCD screening based on the current practice of manual screening and the expected CAI-supported screening. Finally, leveraging the human-centered approach, we provide actionable implications for future CAI design in NCD screening.

翻译：神经认知障碍（NCDs），如阿尔茨海默病，在全球范围内普遍存在，需要可扩展的筛查方法以进行主动管理。先前研究已探索对话式AI（CAI）等技术在实施NCD筛查测试方面的潜力。然而，设计基于CAI的解决方案仍面临挑战，需使其社会可接受、具有参与性，并能鼓励早期医疗咨询。本研究对36名参与者（包括临床医生、NCD风险个体及其照护者）进行了访谈，以探索采用CAI进行NCD筛查的投机性未来。研究结果揭示了共同的期望，例如将CAI部署在家庭或社区环境中以减少社会压力。尽管如此，利益相关者之间仍存在冲突，例如用户对情感支持的需求可能与临床医生偏好CAI专业化及标准化管理相矛盾。随后，我们基于当前手动筛查实践及预期的CAI辅助筛查，深入分析了NCD筛查的用户旅程。最后，借助以人为中心的方法，我们为未来NCD筛查中的CAI设计提供了可操作的建议。