Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort. Buettner, R., Sauer, S., Maier, C., & Eckhardt, A. In 2015 48th Hawaii International Conference on System Sciences (HICSS), pages 533--542, Hawaii, January, 2015. 00006
doi  abstract   bibtex   
We propose a methodology of an ex ante prediction of users' performance based on analyzing the pupillary diameter variability captured by ordinary eye-tracking systems. Based on a realistic large-scale experimental evaluation of our methodology we show promising results that pave the way for a dynamic real-time adaption of IT to the user's mental effort and the expected user performance. Our non-invasive contact-free methodology can be applied cost-efficiently both in research and practical environments, without disturbing the participant/user.
@inproceedings{buettner_towards_2015,
	address = {Hawaii},
	title = {Towards {Ex} {Ante} {Prediction} of {User} {Performance}: {A} {Novel} {NeuroIS} {Methodology} {Based} on {Real}-{Time} {Measurement} of {Mental} {Effort}},
	shorttitle = {Towards {Ex} {Ante} {Prediction} of {User} {Performance}},
	doi = {10.1109/HICSS.2015.70},
	abstract = {We propose a methodology of an ex ante prediction of users' performance based on analyzing the pupillary diameter variability captured by ordinary eye-tracking systems. Based on a realistic large-scale experimental evaluation of our methodology we show promising results that pave the way for a dynamic real-time adaption of IT to the user's mental effort and the expected user performance. Our non-invasive contact-free methodology can be applied cost-efficiently both in research and practical environments, without disturbing the participant/user.},
	booktitle = {2015 48th {Hawaii} {International} {Conference} on {System} {Sciences} ({HICSS})},
	author = {Buettner, R. and Sauer, S. and Maier, C. and Eckhardt, A.},
	month = jan,
	year = {2015},
	note = {00006},
	pages = {533--542}
}

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