Ching-Hao Chang
Papers
2
Total Citations
9
H-Index
2
About
Ching-Hao Chang investigates the intersection of gerontechnology, human-robot interaction, and health behavior change, focusing on how robotic systems can enhance cognitive and health outcomes in aging and chronic disease populations. Their work applies behavioral theories—such as the decomposed theory of planned behavior—to evaluate and predict technology acceptance among older adults. A key contribution is demonstrating that robot-assisted board games can serve as effective cognitive training tools for community-dwelling seniors, with their 2025 study showing that perceived behavioral control and attitudes significantly predict continued usage intentions. In the health domain, Chang’s 2024 quasi-experimental study on robot-assisted virtual health coaching for chronic kidney disease patients revealed significant improvements in health literacy and disease knowledge, highlighting the potential of socially assistive robots to bridge gaps in patient education. With over 9 combined citations from these two highly cited papers, Chang’s work provides empirical evidence for designing acceptable, theory-driven robotic interventions that address real-world challenges in cognitive decline and chronic disease management.
Research Focus
Key Achievements
Top Papers
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- 2