Brain-Computer Interfaces (BCI) are systems that can be controlled by the user through harnessing their brain signals. Extensive research has been undertaken within a laboratory setting with healthy users to illustrate the usability of such systems. To bring these systems to users with severe disabilities it is necessary to develop simple, easy to use systems that can be operated b y non-experts outside of the lab and are evaluated by real end users preferably through a user centered design approach. This paper presents a user centered evaluation of a P300 BCI operated by non-expert users in a rehabilitation center with a control group of five healthy participants without acquired brain injury (ABI) and five end users with ABI. Each participant aimed to complete the 30-step protocol three separate times and rate his or her satisfaction from 0 to 10 on the Visual Analogue Scale after each session. Participants then rated their satisfaction with the BCI on the extended QUEST 2.0 and a customized usability questionnaire. The results indicated that end-users were able to achieve an average accuracy of 55% compared to the control group that reported an average of 78%. The findings indicated that participants were satisfied with the BCI but felt frustrated when it did not respond to their commands. This work was phase one of three to move the BCI system into end users homes. Key recommendations for advancing the P300 BCI towards an easy to use, home-based system were identified, including reducing the complexity of the setup, ensuring the system becomes more responsive and increasing the overall functionality.
|Pages (from-to)||4019 -4029|
|Journal||International Journal on Recent and Innovation Trends in Computing and Communication|
|Publication status||Published - 30 Jun 2015|
- Brain Computer Interface
- User Centred Design
- Acquired Brain Injury
Daly, J., Armstrong, E., Pinegger, A., Müller-Putz, G., & Martin, S. (2015). In pursuit of an easy to use brain computer interface for domestic use in a population with brain injury. International Journal on Recent and Innovation Trends in Computing and Communication, 3(6), 4019 -4029. http://www.ijritcc.org/download/1435727989.pdf