Abstract
We conducted a visual search experiment with varying task-loads to elicit frustration. Eight participants were asked to sort postal codes in a computer simulation with varying levels of task difficulty, from low to high. We collected electroencephalography (EEG), galvanic skin response (GSR), and gaze tracking data, and subjective data from a NASA Task-Load-Index based questionnaire to assess frustration during task performance. Such studies can help with work-flow process planning.
We found that low beta EEG had greater power in tasks with higher difficulty. Eye blink rate and blink duration were higher as task difficulty increased. Finally, subjective frustration scores increased with task difficulty. We hypothesize that frustration can be detected by monitoring power in the low beta band, and rate and blink of eye duration, although this is by no means conclusive. Future work will focus on creating tasks that can directly measure frustration while keeping task difficulty the same.
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Ramachandran, B.R.N., Romero Pinto, S.A., Born, J., Winkler, S., Ratnam, R. (2017). Measuring Neural, Physiological and Behavioral Effects of Frustration. In: Goh, J., Lim, C., Leo, H. (eds) The 16th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-10-4220-1_9
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DOI: https://doi.org/10.1007/978-981-10-4220-1_9
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