Skip to main content

Electrophysiological Feedback in Adaptive Human Computer Interfaces

Wyble, Brad and Craston, Patrick and Bowman, Howard (2006) Electrophysiological Feedback in Adaptive Human Computer Interfaces. Technical report. UKC (KAR id:14420)

Language: English
Download (510kB) Preview
[thumbnail of Electrophysiological_Feedback_in.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format


This paper explores the feasibility of using EEG in the context of Stimulus Rich Reactive Interfaces (SRRI), as a source of feedback on the cognitive state of the user. We have run experiments to evaluate the utility of two potential EEG measures of whether a stimulus has been perceived: 1) reduced EEG power in the alpha band at posterior brain areas and 2) a P3-like positive deflection over parietal areas. Such measures would enable re-presentation of a critical stimulus that has been missed. This paper considers whether, in the context of SRRIs, these measures can be reliably extracted online, i.e. in real-time. To determine this, we have investigated the extent to which online extraction of these measures predicts target report. Our results are positive, particularly with respect to the second approach. we also discuss possible ways in which such a system could be implemented and integrated into a pilot's helmet.

Item Type: Monograph (Technical report)
Uncontrolled keywords: HCI, Adaptive Interfaces, EEG
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: (The current URI for this page, for reference purposes)
Bowman, Howard:
  • Depositors only (login required):


Downloads per month over past year