Modeling Human System Interaction

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Modeling Human–System Interaction

Author: Thomas B. Sheridan
language: en
Publisher: John Wiley & Sons
Release Date: 2017-01-04
This book presents theories and models to examine how humans interact with complex automated systems, including both empirical and theoretical methods. Provides examples of models appropriate to the four stages of human-system interaction Examines in detail the philosophical underpinnings and assumptions of modeling Discusses how a model fits into "doing science" and the considerations in garnering evidence and arriving at beliefs for the modeled phenomena Modeling Human-System Interaction is a reference for professionals in industry, academia and government who are researching, designing and implementing human-technology systems in transportation, communication, manufacturing, energy, and health care sectors.
Modeling Human–System Interaction

Author: Thomas B. Sheridan
language: en
Publisher: John Wiley & Sons
Release Date: 2016-12-19
This book presents theories and models to examine how humans interact with complex automated systems, including both empirical and theoretical methods. Provides examples of models appropriate to the four stages of human-system interaction Examines in detail the philosophical underpinnings and assumptions of modeling Discusses how a model fits into "doing science" and the considerations in garnering evidence and arriving at beliefs for the modeled phenomena Modeling Human-System Interaction is a reference for professionals in industry, academia and government who are researching, designing and implementing human-technology systems in transportation, communication, manufacturing, energy, and health care sectors.
Modeling Human Behaviors in Psychology Using Engineering Methods

The main purpose of the work is to showcase the interdisciplinary engineering approaches in modeling and understanding human behaviors during interpersonal interactions those that could be typical, distressed, or atypical. The ability to measure human behaviors quantitatively has been a core component and a major research direction in both fields of engineering and psychology – though often with distinct approaches designed for different targeted applications. Engineering methods often strive to achieve high predictive accuracies using behavioral informatics techniques; these techniques employ a combination of behavior measures derived using automated signal based descriptors, and of statistical frameworks modeled using machine learning techniques. These approaches are often distinct from the observational approaches the gold standard for the past three decades in the study of psychology, even in clinical settings. The observational approaches are largely based on human subjective judgments.