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Structured Operation Environment And Perceived Complexity In Human Supervisory Control
Author(s) -
Li K.,
Wieringa P.A.
Publication year - 2001
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2001.tb00057.x
Subject(s) - supervisory control , task (project management) , operator (biology) , control (management) , computer science , measure (data warehouse) , computational complexity theory , artificial intelligence , engineering , algorithm , systems engineering , data mining , biochemistry , chemistry , repressor , transcription factor , gene
Understanding the impact of system complexity on operator performance is important for task allocation and human‐machine system design in human supervisory control. In this paper a conceptual framework is proposed to relate the perceived complexity with various objective complexities. An experimental setup is designed to verify the conceptual framework and quantify the relations between perceived complexity and objective complexities. The experimental setup consists of four operation environments. A subjective rating scale is used to measure the perceived complexity in each of the four operation environments when the operator performs assigned tasks. Experimental results show a significantly different perceived complexity between the fully coupled and uncoupled operation environments. Furthermore it is revealed that the operator would perceive the system as extremely complex if (s)he would have to operate over 10 subsystems extensively in 30 minutes, i.e. 20 subsystems per hour.