Adaptive Perspectives on Human-Technology Interaction: by Alex Kirlik

By Alex Kirlik

In daily life, and especially within the glossy place of work, details expertise and automation more and more mediate, increase, and occasionally even intervene with how people engage with their atmosphere. tips to comprehend and help cognition in human-technology interplay is either a essentially and socially appropriate 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 by way of Brunswik's view of cognition as "coming to phrases" with the "casual texture" of the exterior global, 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 helping cognition and function via layout, education, and different interventions. The equipment, types, and measures awarded during this ebook offer well timed and critical assets for addressing difficulties within the speedily becoming box of human-technology interplay. The publication can be of curiosity to researchers, scholars, and practitioners in human components, cognitive engineering, human-computer interplay, judgment and selection 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 (Human Technology Interaction Series)

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In B. Brehmer & C. R. B. ), Human judgment: The SJT view (pp. 13– 40). V. (North-Holland). Brehmer, B. (1992). Dynamic decision making: Human control of complex systems. Acta Psychologica, 81, 211–241. Brehmer, B. (1995). Feedback delays in complex dynamic decision tasks. In P. A. Frensch & J. ), Complex problem solving: The European perspective. : Erlbaum. Brehmer, B. (1996). Man as a stabiliser of systems: From static snapshots of judgement processes to dynamic decision making. In M. E. ), Social judgement theory [Special issue of Thinking and Reasoning, 2(2/3), 225–238].

Brunswik, 1943, p. 256, emphasis in original) Thus, adaptable mediation again enables organisms to stabilize the relationship between their (central) percepts and (distal) objects, thereby producing the perceptual constancies that initially attracted Brunswik’s attention. Brunswik referred to multiplicity and flexibility in the use of both cues and means to an end as vicarious functioning, and he took vicarious functioning (broadly construed to include multiplicity, flexibility, intersubstitutability, and combination of both cues and means) to be the core feature that makes behavior interesting to psychologists.

Like lens modeling, NDM does not have its basis in either the classical decision theory (CDT) or behavioral decision making (BDM) approaches to the study of cognition. ).

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