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Towards ex ante Prediction of User Performance : A novel NeuroIS Methodology based on Real-Time Measurement of Mental Effort
Buettner, Ricardo; Sauer, Sebastian; Maier, Christian; u. a. (2015): Towards ex ante Prediction of User Performance : A novel NeuroIS Methodology based on Real-Time Measurement of Mental Effort, in: Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS), Kauai (HI), New York, NY [u.a.]: IEEE, S. 533–542.
Faculty/Chair:
Author:
Title of the compilation:
Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS), Kauai (HI)
Corporate Body:
48th Hawaii International Conference on System Sciences (HICSS), Kauai (HI)
Publisher Information:
Year of publication:
2015
Pages:
ISBN:
978-1-4799-7367-5
Language:
English
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.
Type:
Conferenceobject
Activation date:
February 18, 2015
Permalink
https://fis.uni-bamberg.de/handle/uniba/21296