Encouraging physical therapy compliance with a hands-Off mobile robot
Rachel Gockley, Maja J. Matarić
- 发表年份
- 2006
- 引用次数
- 100
摘要
This paper presents results toward our ongoing research program into hands-off assistive human-robot interaction [6]. Our work has focused on applications of socially assistive robotics in health care and education, where human supervision can be significantly augmented and complemented by intelligent machines. In this paper, we focus on the role of embodiment, empirically addressing the question: "In what ways can the robot's physical embodiment be used effectively to positively influence human task-related behavior?" We hypothesized that users' personalities would correlate with their preferences of robot behavior expression. To test this hypothesis, we implemented an autonomous mobile robot aimed at the role of a monitoring and encouragement system for stroke patient rehabilitation. We performed a pilot study that indicates that the presence and behavior of the robot can influence how well people comply with their physical therapy.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002