Print Email Facebook Twitter Effects of different real-time feedback types on human performance in high-demanding work conditions Title Effects of different real-time feedback types on human performance in high-demanding work conditions Author Cohen, I. Brinkman, W.P. Neerincx, M.A. Publication year 2016 Abstract Experiencing stress during training is a way to prepare professionals for real-life crises. With the help of feedback tools, professionals can train to recognize and overcome negative effects of stress on task performances. This paper reports two studies that empirically examined the effect of such a feedback system. The system, based on the COgnitive Performance and Error (COPE) model, provides its users with physiological, predicted performance and predicted error-chance feedback. The first experiment focussed on creating stressful scenarios and establishing the parameters for the predictive models for the feedback system. Participants (n=9) performed fire-extinguishing tasks on a virtual ship. By altering time pressure, information uncertainty and consequences of performance, stress was induced. COPE variables were measured and models were established that predicted performance and the chances on specific errors. In the second experiment a new group of participants (n=29) carried out the same tasks while receiving eight different combinations of the three feedback types in a counterbalanced order. Performance scores improved when feedback was provided during the task. The number of errors made did not decrease. The usability score for the system with physiological feedback was significantly higher than a system without physiological feedback, unless combined with error feedback. This paper shows effects of feedback on performances and usability. To improve the effectiveness of the feedback system it is suggested to provide more in-depth tutorial sessions. Design changes are recommended that would make the feedback system more effective in improving performances. © 2016 The Authors. Published by Elsevier Ltd. Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesCognitive errorsDecision toolsHuman task performanceStressVirtual trainingErrorsFire extinguishersPhysiologyPsychophysiologyStressesVirtual realityCognitive errorCognitive performanceDecision toolFire-extinguishingHuman tasksImproving performancePredicted performanceVirtual trainingPhysiological models To reference this document use: http://resolver.tudelft.nl/uuid:1cf1863b-66a8-4ce9-80d4-1d86017756ad DOI https://doi.org/10.1016/j.ijhcs.2016.03.007 TNO identifier 535121 Publisher Academic Press ISSN 1071-5819 Source International Journal of Human Computer Studies, 91, 1-12 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.