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Start Over Descriptor "Human task performance" Journal international journal of human-computer studies
2 results on '"Human task performance"'

1. Effects of different real-time feedback types on human performance in high-demanding work conditions.

Author

Cohen, Iris, Brinkman, Willem-Paul, and Neerincx, Mark A.

Subjects
*PERFORMANCE technology, *STRESS management, *PROFESSIONAL employee training, *TASK performance, *PREDICTION models, *TIME pressure, *PSYCHOLOGICAL feedback
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. [ABSTRACT FROM AUTHOR]

Published
2016
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2. Effects of different real-time feedback types on human performance in high-demanding work conditions

Author

Willem-Paul Brinkman, Mark A. Neerincx, and Iris Cohen

Subjects
PCS - Perceptual and Cognitive Systems, Cognitive error, Physiology, Human task performance, Computer science, Errors, Human Factors and Ergonomics, Virtual reality, Stress, 050105 experimental psychology, Education, Task (project management), Virtual training, Cognitive errors, Stress (linguistics), Stresses, Human & Operational Modelling, 0501 psychology and cognitive sciences, Fire-extinguishing, Effects of sleep deprivation on cognitive performance, Cognitive performance, Decision tool, Engineering(all), 050107 human factors, Simulation, Predicted performance, business.industry, 05 social sciences, Work (physics), General Engineering, Usability, Physiological models, Human-Computer Interaction, Psychophysiology, Hardware and Architecture, Human tasks, Fire extinguishers, Improving performance, ELSS - Earth, Life and Social Sciences, business, Decision tools, Software
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.

Published
2016

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