Public acceptance of using artificial intelligence-assisted weight management apps in high-income Southeast Asian adults with overweight and obesity: A cross-sectional study

• Main Authors: CHEW, Han Shi Jocelyn, ACHANANUPARP, Palakorn, CHEW, Nicholas W. S., CHIN, Yip Han, GAO, Yujia, SO, Bok Yan Jimmy, SHABBIR, Asim, Ee-peng LIM, NGIAM, Kee Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Acceptability; artificial intelligence; behavior; implementation; obesity; perception; UTAUT; weight management; Singapore; Artificial Intelligence and Robotics; Asian Studies; Databases and Information Systems; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/8735; https://ink.library.smu.edu.sg/context/sis_research/article/9738/viewcontent/fnut_11_1287156_pvoa_cc_by.pdf
• Institution: Singapore Management University

Introduction: With in increase in interest to incorporate artificial intelligence (AI) into weight management programs, we aimed to examine user perceptions of AI-based mobile apps for weight management in adults with overweight and obesity. Methods: 280 participants were recruited between May and N...