By Alex Kirlik
In daily life, and especially within the glossy place of work, details know-how and automation more and more mediate, increase, and infrequently even intervene with how people have interaction with their surroundings. the best way 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 even ill-adapted, to the calls for and possibilities of an atmosphere the place interplay is mediated via instruments and expertise? The authors draw seriously at the paintings of Egon Brunswik, a pioneer in ecological and cognitive psychology, in addition to on sleek refinements and extensions of Brunswikian principles, together with Hammond's Social Judgment idea, 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 assisting cognition and function via layout, education, and different interventions. The equipment, versions, and measures offered during this booklet offer well timed and significant assets for addressing difficulties within the swiftly transforming into box of human-technology interplay. The booklet may 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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Extra info for Adaptive perspectives on human-technology interaction : methods and models for cognitive engineering and human-computer interaction
Doherty, M. , & Brehmer, B. (1997). The paramorphic representation of clinical judgment: A thirty-year retrospective. In W. M. Goldstein & R. M. ), Research on judgment and decision making: Currents, connections, and controversies (pp. 537–551). Cambridge: Cambridge University Press. Dudycha, A. , Dumoff, M. , & Dudycha, L. W. (1973). Choice behavior in dynamic environments. Organizational Behavior and Human Performance, 9, 323–338. Earle, T. C. (1973). Interpersonal learning. In L. Rappoport & D.
Gruber, K. R. Hammond, & R. ), Contemporary approaches to cognition: A symposium held at the University of Colorado (pp. 5–31). Cambridge, MA: Harvard University Press. Camerer, C. F. (1981). The validity and utility of expert judgment. Unpublished doctoral dissertation, Graduate School of Business, University of Chicago. Cooksey, R. W. (1996). Judgment analysis: Theory, methods, and applications. San Diego, CA: Academic Press. Dawes, R. M. (1979). The robust beauty of improper linear models in decision making.
The TADMUS program spawned a wide range of empirical and theoretical research, characterized by close involvement among researchers at universities, government laboratories, and the naval operational community. These investigators were united by a shared vision that an improved understanding of human performance in dynamic, uncertain, technological environments could better support the design of future military training, aiding, and display systems and thus hopefully reduce the likelihood of future incidents like the Vincennes tragedy.
Adaptive perspectives on human-technology interaction : methods and models for cognitive engineering and human-computer interaction by Alex Kirlik