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

Cohen, I.; Brinkman, W.P.; Neerincx, M.A.

doi:10.1016/j.ijhcs.2016.03.007

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. (TU Delft Interactive Intelligence)
Brinkman, W.P. (TU Delft Interactive Intelligence)
Neerincx, M.A. (TU Delft Interactive Intelligence)

Date

2016-07

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.

Subject

Stress
Virtual training
Decision tools
Cognitive errors
Human task performance

To reference this document use:

http://resolver.tudelft.nl/uuid:ea7e553f-1745-49cd-afa6-c7e3bbff4975

DOI

https://doi.org/10.1016/j.ijhcs.2016.03.007

ISSN

1071-5819

Source

International Journal of Human-Computer Studies, 91, 1-12

Part of collection

Institutional Repository