Author/Editor		Molan-Škof, Marija; Molan, Gregor
Title		Evaluation of human fitness for duty in a real working situation
Type		članek
Source		In: Proceedings of the International atomic energy agency specialists meeting on Advanced information methods and artificial intelligence in nuclear power plant control rooms; 1994 Sep 13-15; Halden. Halden: The international atomic energy agency,
Publication year		1994
Volume		str. 270-7
Language		eng
Abstract		According to the results of root causes analyses in the complex automatised systems almost 80% of reported events and scrams are due to the human error or malfuction. Nowadays scrams are mostly consequences of human mistakes. Human mistakes are according to the results of root cause analyses consequences of unfiness or inability to perform demanded task. Most of the workers in the system have adequate psychophysiological abilities and basic knowledge. So their performance in a real working situation depends on their fitness for duty or acival availability. Aciual availability and consequently human performance depends on: . human obilities (basic human traits) . human knowledge (knowledge received in educational prcess and in special training) . human motivation (willingness to take part in the activity) Actual availability is the interference of abilities, knowledge and motivation in the situation and it shapes human performance. Workers are able to self estimate their fitness for duty. On these estimations modelling of human performance in a real situation is possible. By the level of human performance system's performance should be predicted. We have developed questionnaire VTP for self estimations of well-being, mood, fatigue, arousal level, stress and motivation. At the same time data indicating human performance have been collected. indicators of human performance have been the results on dual task and effectiveness in primary task. Connections between human fitness for duig and human performance have been modelled. Developed model explin the impacts of particular factors of finess for duty on systems performance.
Descriptors		AUTOMATION WORK CAPACITY EVALUATION PSYCHOMOTOR PERFORMANCE POWER PLANTS PSYCHOLOGY, INDUSTRIAL WORKLOAD WORK SCHEDULE TOLERANCE