Stephen J. Payne, Andrew Howes's Adaptive Interaction: A Utility Maximization Approach to PDF

By Stephen J. Payne, Andrew Howes

ISBN-10: 1608458385

ISBN-13: 9781608458387

This lecture describes a theoretical framework for the behavioural sciences that holds excessive promise for theory-driven learn and layout in Human-Computer interplay. The framework is designed to take on the adaptive, ecological, and bounded nature of human behaviour. it truly is designed to assist scientists and practitioners cause approximately why humans decide to behave as they do and to give an explanation for which ideas humans decide upon in line with software, ecology, and cognitive details processing mechanisms. A key inspiration is that folks pick out suggestions which will maximise application given constraints. The framework is illustrated with a few examples together with pointing, multitasking, skim-reading, on-line procuring, sign Detection thought and prognosis, and the impression of popularity on paying for judgements. Importantly, those examples span from perceptual/motor coordination, via cognition to social interplay. eventually, the lecture discusses the demanding concept that humans search to discover optimum thoughts and in addition discusses the results for behavioral research in HCI. desk of Contents: creation: A Framework for Cognitive technology examine on HCI / heritage / sign Detection concept and Collaborative analysis / Discretionary job Interleaving / stream making plans / Multimodal interplay and textual content access / E-commerce / looking a number of records and read studying / Adaptively dispensing Cognition / E-commerce suggestions / dialogue

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Extra resources for Adaptive Interaction: A Utility Maximization Approach to Understanding Human Interaction with Technology

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2012). 31 CHAPTER 5 Movement Planning Human-computer interfaces are richly endowed with push-buttons. Buttons, virtual or otherwise, mouse-driven or touch-sensitive, are universal to contemporary computing interfaces. Buttons vary in their function and visual representation but share the requirement that some combination of perception and movement is used in order to control interaction in pursuit of goals. Most often visual perception is combined with a manual system consisting of some combination of arm, hand, and finger.

Welford et al. (1969) suggested that there is a linear relationship. Accordingly, movement duration has a negatively sloped linear relationship to the log of the variability in the end point of the movement. Supporting evidence is available from neuro-physiological studies. , 1979). As movement duration is related to the force applied by the muscles (shorter durations for a fixed distance require more force), spatial variability in movement end-point will be proportional to the average forces that are generated by the muscles in making the movement and therefore inversely proportional to some function of the time taken for the movement.

For this reason, we describe a simple optimal theory of perceptual-manual control for button selection without, in the first instance, reference to existing theory. We will return to Fitts’s Law and to more recent contributions at the end of this section. , Jagacinski & Flach (2003)). Here we show that the Adaptive Interaction framework can be used to answer two questions about button selection. , 2008; Roberts & Sherratt, 1998a; Harris & Wolpert, 2006). The first question concerns where people aim.

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Adaptive Interaction: A Utility Maximization Approach to Understanding Human Interaction with Technology by Stephen J. Payne, Andrew Howes


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