Measuring and Modeling Persons and Situations,
Edition 1
Edited by Dustin Wood, Stephen J. Read, P.D. Harms and Andrew Slaughter

Publication Date: 24 Jun 2021
Description

Measuring and Modeling Persons and Situations presents major innovations and contributions on the topic, promoting deeper integration, cross-pollination of ideas across diverse academic disciplines, and the facilitation of the development of practical applications such as matching people to jobs, understanding decision making, and predicting how a group of individuals will interact with one another. The book is organized around two overarching and interrelated themes, with the first focusing on assessing the person and the situation, covering methodological advances and techniques for inferring and measuring characteristics, and showing how they can be instantiated for measurement and predictive purposes.

The book's second theme presents theoretical models, conceptualizing how factors of the person and situation can help us understand the psychological dynamics which underlie behavior, the psychological experience of fit or congruence with one’s environment, and changes in personality traits over time.

Key Features

  • Identifies technologies for measuring and predicting behavior
  • Infers behavior causes from personality and/or situational variables
  • Utilizes big data, machine learning and modeling to understand behavior
  • Includes mobile phone, social media and wearable tech usage analysis
  • Explores the stability of personality over time
  • Considers behavior analysis to treat maladaptive behavior
About the author
Edited by Dustin Wood, University of Alabama, Tuscaloosa, AL, USA; Stephen J. Read, University of Sourthern California, Los Angeles, CA, USA; P.D. Harms, University of Alabama, Tuscaloosa, AL, USA and Andrew Slaughter, US Army Research Institute for the Behavioral and Social Sciences, Ft. Belvoir, VA, USA
Book details
ISBN: 9780128192009
Page Count: 732
Retail Price : £118.00
9780124160095; 9780123869159; 9780123694256
Audience
Graduate students, researchers, academics and professionals in the areas of social and personality psychology, engineering, human factors, robotics, applied psychology, computer science, and machine intelligence.