Adaptive perspectives on human-technology interaction : by Alex Kirlik
By Alex Kirlik
In lifestyle, and especially within the glossy place of work, info expertise and automation more and more mediate, increase, and occasionally even intervene with how people engage with their surroundings. tips on how to comprehend and aid cognition in human-technology interplay is either a virtually and socially proper challenge. The chapters during this quantity body this challenge in adaptive phrases: How are habit and cognition tailored, or maybe ill-adapted, to the calls for and possibilities of an atmosphere the place interplay is mediated by means of instruments and know-how? The authors draw seriously at the paintings of Egon Brunswik, a pioneer in ecological and cognitive psychology, in addition to on smooth refinements and extensions of Brunswikian principles, together with Hammond's Social Judgment thought, Gigerenzer's Ecological Rationality and Anderson's Rational research. encouraged via Brunswik's view of cognition as "coming to phrases" with the "casual texture" of the exterior international, the chapters during this quantity supply quantitative and computational types and measures for learning how humans come to phrases with an more and more technological ecology, and supply insights for aiding cognition and function via layout, education, and different interventions. The tools, versions, and measures awarded during this publication supply well timed and demanding assets for addressing difficulties within the quickly starting to be box of human-technology interplay. The e-book can be of curiosity to researchers, scholars, and practitioners in human elements, cognitive engineering, human-computer interplay, judgment and choice making, and cognitive science.
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Additional info for Adaptive perspectives on human-technology interaction : methods and models for cognitive engineering and human-computer interaction
Interpersonal Conflict and Interpersonal Learning The LME was described earlier as applying to the correlation between judgments and criterion values. However, the LME applies to the correlation between any two variables that are each in turn related to the same set of cues. Therefore, one can use it to decompose the correlation between two people’s judgments. Indeed, one can decompose the correlation between any pair of variables in a group of variables. In such a case, the model is referred to as the N-system lens model.
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