Leveraging machine learning algorithms and explainable AI for predicting mental health disorder treatment at the workplace

Perceived control influences users' acceptance of AI-enabled services

Zhongliang Li, Hao Li

With the rapid diffusion of artificial intelligence (AI) in the service sector, users' acceptance of AI-enabled services has become an important issue for successful deployment. Drawing on control-related and appraisal-based perspectives, the present research examined whether per…Read more

A hybrid CNN-machine learning model for anxiety screening with mandala coloring patterns: Feature extraction and classification performance

Se-Ryun Park, JongHan Kim, Jinyoung Han, Yu-Jung Cha