Burkolter, Dina; Kluge, Annette; Sauer, Jürgen; Ritzmann, Sandrina; Schüler, Kerstin:
The predictive qualities of operator characteristics for process control performance: The influence of variables relating to cognition and personality
In: Ergonomics : an international journal of research and practice in human factors and ergonomics ; the official publication of the Ergonomics Society and International Ergonomics Association, Vol. 52 (2009), No. Heft 3, March, pp. 302 - 311
2009article/chapter in journal
Applied Cognitive Science
Title:
The predictive qualities of operator characteristics for process control performance: The influence of variables relating to cognition and personality
Author:
Burkolter, Dina;Kluge, Annette;Sauer, Jürgen;Ritzmann, SandrinaUDE
LSF ID
52055
Other
connected with university
;Schüler, Kerstin
Year of publication:
2009
WWW URL:
http://web.ebscohost.com/ehost/pdfviewer/pdfviewer?hid=122&sid=2972ae5f-1ef8-4a29-8472-7c3527cf63f8%40sessionmgr112&vid=4
Appears in
Ergonomics : an international journal of research and practice in human factors and ergonomics ; the official publication of the Ergonomics Society and International Ergonomics Association
in:
Vol. 52 (2009), No. Heft 3, March, pp. 302 - 311
ISSN
0014-0139 Show availability online & print
Library shelfmark:
49 Z 513

Abstract:

This article examines the relationship between operator characteristics and process control performance. Thirty-nine trainee operators participated in a 4-h training session of a simulated process control task and a testing session in which various system faults had to be managed. Cognitive ability, cognitive flexibility, self-efficacy and personality traits were measured as operator characteristics. Cognitive ability related positively to system control performance but not to diagnostic performance. Participants with low cognitive flexibility performed best on system control, whereas participants with high cognitive flexibility performed best on diagnostic performance. A hierarchical regression analysis revealed that cognitive ability, cognitive flexibility and declarative knowledge accounted for about 30% of the variability of system control. The findings suggest that consideration of cognitive ability and cognitive flexibility be increased in personnel selection for complex work environments.