Enhanced Operator Function Model (EOFM): A Task Analytic Modeling Formalism for Including Human Behavior in the Verification of Complex Systems

2017 ◽  
pp. 343-377 ◽  
Author(s):  
Matthew L. Bolton ◽  
Ellen J. Bass
Keyword(s):  
Complex Systems ◽  
Human Behavior ◽  
Operator Function ◽  
Function Model ◽  
Analytic Modeling ◽  
Modeling Formalism

Operator Models for Supervisory Control Systems

1989 ◽  
Vol 33 (5) ◽  
pp. 291-295 ◽  
Author(s):  
Patricia M. Jones ◽  
Christine M. Mitchell
Keyword(s):  
Problem Behavior ◽  
Control Systems ◽  
Supervisory Control ◽  
Operator Function ◽  
Human Operator ◽  
Verbal Protocols ◽  
Control Task ◽  
Function Model ◽  
Control Applications ◽  
Decision Ladder

This paper presents a conceptual discussion of four human operator models that are potentially useful for supervisory control applications: the operator function model (Mitchell, 1987), the problem behavior graph (Newell and Simon, 1972), the decision ladder (Rasmussen, 1986), and goal-means network (Woods and Hollnagel, 1987). These models are characterized along the dimensions proposed by Jones and Mitchell (1987) and are further examined in-depth with the use of verbal protocols collected concurrently with the performance of a supervisory control task.

Evaluating the Accuracy of a Large-Vocabulary Speech Recognition System

1989 ◽  
Vol 33 (5) ◽  
pp. 296-300 ◽  
Author(s):  
Norman R. Brown ◽  
Ann Marie Vosburgh
Keyword(s):  
Supervisory Control ◽  
Operator Function ◽  
Recognition System ◽  
Speech Recognition System ◽  
Verbal Protocols ◽  
Control Task ◽  
Function Model ◽  
Control Applications ◽  
Large Vocabulary Speech Recognition ◽  
Decision Ladder

This paper presents a conceptual discussion of four human operator models that are potentially useful for supervisory control applications: the operator function model (Mitchell, 1987), the problem behavior graph (Newell and Simon, 1972), the decision ladder (Rasmussen, 1986), and goal-means network (Woods and Hollnagel, 1987). These models are characterized along the dimensions proposed by Jones and Mitchell (1987) and are further examined in-depth with the use of verbal protocols collected concurrently with the performance of a supervisory control task.

Human behavior and domain knowledge in parameter design of complex systems

2016 ◽  
Vol 45 ◽  
pp. 242-267 ◽  
Author(s):  
Bo Yang Yu ◽  
Tomonori Honda ◽  
Mostafa Sharqawy ◽  
Maria Yang
Keyword(s):  
Complex Systems ◽  
Human Behavior ◽  
Domain Knowledge ◽  
Parameter Design

scholarly journals Representing Complex Analogues Using a Function Model to Support Conceptual Design

2018 ◽  
Author(s):  
L. Siddharth ◽  
Amaresh Chakrabarti ◽  
Srinivasan Venkataraman
Keyword(s):  
Complex Systems ◽  
Engineering Design ◽  
Levels Of Abstraction ◽  
Function Model ◽  
Design Problems ◽  
Web Based ◽  
Proposed Model ◽  
Engineering Design Problems ◽  
Biological Domain ◽  
Engineered Systems

Analogical design has been a long-standing approach to solve engineering design problems. However, it is still unclear as to how analogues should be presented to engineering design in order to maximize the utility of these. The utility is minimal when analogues are complex and belong to other domain (e.g., biology). Prior work includes the use of a function model called SAPPhIRE to represent over 800 biological and engineered systems. SAPPhIRE stands for the entities: States, Actions, Parts, Phenomena, Inputs, oRgans, and Effects that together represent the functionality of a system at various levels of abstraction. In this paper, we combine instances of SAPPhIRE model for representing complex systems (also from the biological domain). We use an electric buzzer to illustrate and compare the efficacy of this model in explaining complex systems with that of a well-known model from literature. The use of multiple-instance SAPPhIRE model instances seems to provide a more comprehensive explanation of a complex system, which includes elements of description that are not present in other models, providing an indication as to which elements might have been missing from a given description. The proposed model is implemented in a web-based tool called Idea-Inspire 4.0, a brief introduction of which is also provided.

Complex Systems and Human Behavior

2011 ◽  
Vol 30 (8) ◽  
pp. 1023-1024
Author(s):  
William Pelech
Keyword(s):  
Complex Systems ◽  
Human Behavior
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