Using cardiovascular features to classify state changes during cooperation in a simulated bomb defusal task (bibtex)
by Mark Dennison, Cathy Neubauer, Tony Passaro, Andre Harrison, Stefan Scherer, Pete Khooshabeh
Abstract:
Teams of two individuals worked together in a high-intensity simu-lated bomb diffusing task. Half the teams were given icebreaker social time to increase comfort and familiarity with each other and the remaining half of the teams served as controls and did not meet until the task began. Electrocardiog-raphy and impedance cardiography were recorded to examine cardiac changes during task cooperation. Changes in ventricular contractility showed that individ-uals who had taken part in the icebreaker showed increased task engagement over time whereas controls showed the opposite. Data also trended to show that ice-breaker participants were in a challenge state and controls were in a threat state during the final thirty seconds of bomb defusal. Finally, we show that a set of cardiac features can be used to classify participant data as belonging to the ice-breaker or control groups with an accuracy as high as 88\%.
Reference:
Using cardiovascular features to classify state changes during cooperation in a simulated bomb defusal task (Mark Dennison, Cathy Neubauer, Tony Passaro, Andre Harrison, Stefan Scherer, Pete Khooshabeh), In Proceedings of the 16th International Conference on Intelligent Virtual Agents, Physiologically Aware Virtual Agent’s (PAVA) Workshop, 2016.
Bibtex Entry:
@inproceedings{dennison_using_2016,
	address = {Los Angeles, CA},
	title = {Using cardiovascular features to classify state changes during cooperation in a simulated bomb defusal task},
	url = {http://marksdennison.com/s/DennisonPAVA2016.pdf},
	abstract = {Teams of two individuals worked together in a high-intensity simu-lated bomb diffusing task. Half the teams were given icebreaker social time to increase comfort and familiarity with each other and the remaining half of the teams served as controls and did not meet until the task began. Electrocardiog-raphy and impedance cardiography were recorded to examine cardiac changes during task cooperation. Changes in ventricular contractility showed that individ-uals who had taken part in the icebreaker showed increased task engagement over time whereas controls showed the opposite. Data also trended to show that ice-breaker participants were in a challenge state and controls were in a threat state during the final thirty seconds of bomb defusal. Finally, we show that a set of cardiac features can be used to classify participant data as belonging to the ice-breaker or control groups with an accuracy as high as 88\%.},
	booktitle = {Proceedings of the 16th {International} {Conference} on {Intelligent} {Virtual} {Agents}, {Physiologically} {Aware} {Virtual} {Agent}’s ({PAVA}) {Workshop}},
	author = {Dennison, Mark and Neubauer, Cathy and Passaro, Tony and Harrison, Andre and Scherer, Stefan and Khooshabeh, Pete},
	month = sep,
	year = {2016},
	keywords = {Virtual Humans}
}
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