Publication Details
- Keywords:
- autism
- socially assistive robotics
- performance metrics
- benchmarks
Abstract
Robots have been developed for several assistive technology domains, including intervention for Autism Spectrum Disorders, eldercare, and post-stroke rehabilitation. Assistive robots have also been used to promote independent living through the use of devices such as intelligent wheelchairs, assistive robotic arms, and external limb prostheses. Work in the broad field of assistive robotic technology can be divided into two major research phases: technology development, in which new devices, software, and interfaces are created; and clinical, in which assistive technology is applied to a given end-user population. Moving from technology development towards clinical applications is a significant challenge. Developing performance metrics for assistive robots poses a related set of challenges. In this paper, we survey several areas of assistive robotic technology in order to derive and demonstrate domain-specific means for evaluating the performance of such systems. We also present two case studies of applied performance measures and a discussion regarding the ubiquity of functional performance measures across the sampled domains. Finally, we present guidelines for incorporating human performance metrics into end-user evaluations of assistive robotic technologies.
Author Details
Name: | Katherine Tsui |
Status: | Inactive |
Name: | David Feil-Seifer | |
email: | dave@cse.unr.edu | |
Website: | http://cse.unr.edu/~dave | |
Phone: | (775) 784-6469 | |
Status: | Active |
Name: | Holly Yanco |
Status: | Inactive |
Name: | Maja Matarić |
email: | maja@cs.usc.edu |
Website: | http://robotics.usc.edu/~maja |
Status: | Inactive |
BibTex Reference
title={Methods for Evaluating Assistive Robotic Technology},
author={Katherine Tsui and David Feil-Seifer and Holly Yanco and Maja Matarić},
year={2009},
month={August},
pages={41-66},
publisher={Springer},
doi={10.1007/978-1-4419-0492-8_3},
booktitle={Performance Evaluation and Benchmarking of Intelligent Systems},
editors={Raj Madhavan, Edward Tunstel, and Elena Messina},
}