Capturing and using emotion-based BCI signals in experiments; How subject's effort can influence results

Katie Crowley, Aidan Sliney, Ian Pitt, Dave Murphy

Research output: Contribution to conferencePaperpeer-review

Abstract

This study uses minimally invasive technology to monitor the emotional response of a subject during stress inducing psychological tasks. The goal of these tasks is to investigate the possibility of measuring and subsequently categorising the subject's level of stress using biosignal devices. If a consistent metric of stress can be determined it may be used for many forms of human-machine interaction in areas such as assessment and training. Two separate psychological tests were conducted, The Stroop Colour Word Interference Test (20 subjects), and The Towers of Hanoi (17 subjects). These tests examine directed attention, and sustained, consistent attention respectively. NeuroSky's Mindset device was used to record the stress and attention level of each subject. We examined the subject's attention while undertaking these tasks, and assessed any correlation between this and their level of stress during the task. This study shows that for most subjects, the less attent the subject is, the lower their stress level, and the higher the level of attention, the greater the level of stress (increased concentration etc.) As the difficulty of the task increased, some subjects appeared to 'lose interest' or reduce their level of attention, and consequently the level of stress measured decreased.

Original languageEnglish
Pages132-138
Number of pages7
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event25th BCS onference on Human Computer Interaction, HCI 2011 - Newcastle Upon Tyne, United Kingdom
Duration: 4 Jul 20118 Jul 2011

Conference

Conference25th BCS onference on Human Computer Interaction, HCI 2011
Country/TerritoryUnited Kingdom
CityNewcastle Upon Tyne
Period4/07/118/07/11

Keywords

  • Attention
  • BCI
  • Concentration
  • Emotional response
  • Meditation
  • Stress
  • Stroop

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