Publication Details
- Keywords:
- HRI
- socially assistive robotics
- UAV
- blind
Abstract
People with visual impairments have a hard time getting consistent physical exercise, as they can not do some exercises, such as running outside, without a sighted guide. People with visual impairments have been shown to have higher spatial localization skills than sighted people, which lead us to believe that they could follow a drone on a running-track environment. This paper presents a feasibility study where we investigate the ability to localize and follow a low-cost flying drone in people with visual impairments. A Wizard of Oz style study was conducted with 2 blind participants.
Our results indicate that blind individuals can accurately localize the drone and follow it. Qualitative results also indicate that the participants were comfortable with following the drone and had high efficacy when it came to following and localizing the drone. The study supports future development of a fully functioning prototype.
Author Details
Name: | Majed Al Zayer |
Status: | Inactive |
Name: | Sam Tregillus |
Status: | Inactive |
Name: | Jiwan Bhandari |
Status: | Inactive |
Name: | David Feil-Seifer | |
email: | dave@cse.unr.edu | |
Website: | http://cse.unr.edu/~dave | |
Phone: | (775) 784-6469 | |
Status: | Active |
Name: | Eelke Folmer |
Status: | Inactive |
BibTex Reference
title={Exploring the Use of a Drone to Guide Blind Runners},
author={Majed Al Zayer and Sam Tregillus and Jiwan Bhandari and David Feil-Seifer and Eelke Folmer},
year={2016},
month={October},
pages={263-264},
address={Reno, NV},
doi={10.1145/2982142.2982204},
isbn={978-1-4503-4124-0},
booktitle={International ACM SIGACCESS Conference on Computers and Accessibility},
}
HTML Reference
Support
CHS: Small: Collaborative Research: Spatio-Temporal Situational Awareness in Large-Scale Disasters Using Low-Cost Unmanned Aerial Vehicles, National Science Foundation PI: David Feil-Seifer, Amount: $166,666, Jan. 1, 2016 - Dec. 31, 2017