Name
Abstract | ||
|---|---|---|
Accessibility for people with motor impairments is limited in direct manipulation-reliant software applications, especially in those that utilize geospatial technology. In this paper, we demonstrate an alternative method to interact with geospatial web applications such as Google Street ViewTM and Google MapsTM using Brain Computer Interface technology. We conducted a user study for our web application that is compatible with Google Street View, using three different variations of Brain-Computer Interface control: cognitive-dominant, expressive-dominant, and expressive-pure. This paper presents the details of our study and a discussion of our obtained results. The implications for collaborative work in virtual environments are also briefly examined. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CSCS.2017.87 | 2017 21st International Conference on Control Systems and Computer Science (CSCS) |
Keywords | Field | DocType |
brain-computer interfaces,assistive technologies,geospatial applications | Geospatial analysis,Geomatics,World Wide Web,Computer science,Brain–computer interface,Human–computer interaction,Software,Web application | Conference |
ISBN | Citations | PageRank |
978-1-5386-1840-0 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angela Chan | 1 | 0 | 0.34 |
| Sergiu Dascalu | 2 | 362 | 79.10 |