Designing Scaffolding Strategies for Conversational Agents in Dialog Task of Neurocognitive Disorders Screening

要旨

Regular screening is critical for individuals at risk of neurocognitive disorders (NCDs) to receive early intervention. Conversational agents (CAs) have been adopted to administer dialog-based NCD screening tests for their scalability compared to human-administered tests. However, unique communication skills are required for CAs during NCD screening, e.g., clinicians often apply scaffolding to ensure subjects’ understanding of and engagement in screening tests. Based on scaffolding theories and analysis of clinicians' practices from human-administered test recordings, we designed a scaffolding framework for the CA. In an exploratory wizard-of-Oz study, the CA empowered by ChatGPT administered tasks in the Grocery Shopping Dialog Task with 15 participants (10 diagnosed with NCDs). Clinical experts verified the quality of the CA's scaffolding and we explored its effects on task understanding of the participants. Moreover, we proposed implications for the future design of CAs that enable scaffolding for scalable NCD screening.

著者
Jiaxiong Hu
Hong Kong University of Science and Technology, Hong Kong, China
Junze Li
The Hong Kong University of Science and Technology, Hong Kong, Hong Kong
YUHANG ZENG
HKUST, HONG KONG, China
Dongjie Yang
Hong Kong University of Science and Technology, Hong Kong, Hong Kong, China
Danxuan LIANG
Hong Kong University of Science and Technology , Hong Kong , Hong Kong, China
Helen Meng
The Chinese University of Hong Kong, Hong Kong SAR, China
Xiaojuan Ma
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
論文URL

doi.org/10.1145/3613904.3642960

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Assistive Technologies for Neurodiversity

313B
5 件の発表
2024-05-14 20:00:00
2024-05-14 21:20:00