Abstract
The use of assistive robots presents opportunities as well as challenges for researchers, patients, and healthcare practitioners. For some cases, the possibility of creating a "one size fits all" robot-aided therapy is unrealistic. As we move from robots as assistive tools, to robots as active collaborators in maintaining and upgrading one's physical and mental health, we must develop systems that autonomously individualize their behavior over the course of treatment with respect to the needs of the patient. Creating systems that perceive and model a person's mental state is an important problem that is currently being investigated by the human-robot interaction and social robotics communities. This chapter presents their progress and also examines an anticipated upcoming generation of robots that will socially interact with patients, model their moods, personality, likes, and dislikes, and use this information to guide the robot's assistance related decisions. We review the major research in areas related to cognitive, behavioral, economic, and psychological modeling of a patient by an assistive robot.
| Original language | English (US) |
|---|---|
| Title of host publication | Human Modeling for Bio-Inspired Robotics |
| Subtitle of host publication | Mechanical Engineering in Assistive Technologies |
| Publisher | Elsevier Inc. |
| Pages | 273-296 |
| Number of pages | 24 |
| ISBN (Electronic) | 9780128031520 |
| ISBN (Print) | 9780128031377 |
| DOIs | |
| State | Published - Jan 1 2017 |
All Science Journal Classification (ASJC) codes
- General Engineering
- General Computer Science
