Emotional Investment in Naturalistic Data Collection
We present results from two experiments intended to allow naturalistic data collection of the physiological effects of cognitive load. Considering the example of command and control environments, we identify shortcomings of previous studies which use either laboratory-based scenarios, lacking realism, or real-world scenarios, lacking repeatability. We identify the hybrid approach of remote-control which allows experimental subjects to remain in a laboratory setting, performing a real-world task in a completely controlled environment. We show that emotional investment is vital for evoking natural responses and that physiological indications of cognitive load manifest themselves more readily in our hybrid experimental setup. Finally, we present a set of experimental design recommendations for naturalistic data collection.
KeywordsCognitive Load Secondary Task Skin Conductance Normalise Heart Rate Driving Simulator
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- 1.Parrot AR.Drone, http://ardrone.parrot.com/
- 2.Aasman, J., Mulder, G., Mulder, L.J.M.: Operator effort and the measurement of heart-rate variability. Human Factors 29(2), 161–170 (1987)Google Scholar
- 4.Hart, S.O., Staveland, L.E.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research (1988)Google Scholar
- 6.Healey, J.A., Seger, J., Picard, R.W.: Quantifying driver stress: Developing a system for collecting and processing bio-metric signals in natural situations. In: Proceedings of the Rocky Mountain Bio-Engineering Symposium (1999)Google Scholar
- 8.Lisetti, C., Nasoz, F.: Affective intelligent car interfaces with emotion recognition. In: Proceedings of 11th International Conference on Human Computer Interaction (2005)Google Scholar
- 9.Recarte, M.A., Nunes, L.M.: Mental workload while driving: Effects on visual search, discrimination, and decision making. Journal of Experimental Psychology: Applied 9(2), 119–133 (2003)Google Scholar
- 10.Reimer, B., Mehler, B., Wang, Y., Coughlin, J.F.: The impact of systematic variation of cognitive demand on drivers visual attention across multiple age groups. In: Human Factors and Ergonomics Society Annual Meeting Proceedings, pp. 2052–2056 (2010)Google Scholar