Abstract
This paper presents the ongoing development of a proof-of-concept, adaptive system that uses a neurocognitive signal to facilitate efficient performance in a Virtual Reality visual search task. The Levity system measures and interactively adjusts the display of a visual array during a visual search task based on the user’s level of cognitive load, measured with a 16-channel EEG device. Future developments will validate the system and evaluate its ability to improve search efficiency by detecting and adapting to a user’s cognitive demands.
| Original language | English |
|---|---|
| Title of host publication | Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Editors | Anna Cox, Mark Perry |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450356206, 9781450356213 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | International Conference on Human Factors in Computing Systems 2018 - Palais des Congrès de Montréal, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 Conference number: 36th https://chi2018.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/3173574 (Proceedings) |
Conference
| Conference | International Conference on Human Factors in Computing Systems 2018 |
|---|---|
| Abbreviated title | CHI 2018 |
| Country/Territory | Canada |
| City | Montreal |
| Period | 21/04/18 → 26/04/18 |
| Internet address |
Keywords
- Brain-Computer Interface
- Cognitive Load
- Virtual Reality
- Visual Search Task