Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals who are Blind
Links to Files
Author/Creator
Author/Creator ORCID
Date
Type of Work
Department
Program
Citation of Original Publication
Saulynas, Sidas, and Ravi Kuber. “Towards Brain-Computer Interface (BCI) and Gestural-Based Authentication for Individuals Who Are Blind.” Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (New York, NY, USA), ASSETS ’17, October 19, 2017, 403–4. https://doi.org/10.1145/3132525.3134785.
Rights
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
Abstract
This paper describes an exploratory study examining the feasibility of using Brain-Computer Interface (BCI) and gestural technologies to support individuals who are blind during the authentication process. Four legally-blind participants were asked to don the Emotiv Epoc headset, and authenticate entry using gestural cues, emotional cues and mental commands. Findings highlighted that while BCI and gestural technologies may be slower and less accurate to use compared to four digit PINs, levels of perceived security were higher, as some of these cues were thought to be more difficult for third parties to replicate. A trade-off between perceived security and usability was evident.