Read e-book online 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 really is designed to assist scientists and practitioners cause approximately why humans decide to behave as they do and to give an explanation for which options humans decide on based on software, ecology, and cognitive info processing mechanisms. A key suggestion is that individuals decide upon innovations as a way to maximise application given constraints. The framework is illustrated with a couple of examples together with pointing, multitasking, skim-reading, on-line procuring, sign Detection idea and analysis, and the impression of acceptance on paying for judgements. Importantly, those examples span from perceptual/motor coordination, via cognition to social interplay. eventually, the lecture discusses the hard concept that humans search to discover optimum ideas and in addition discusses the results for behavioral research in HCI. desk of Contents: advent: A Framework for Cognitive technological know-how examine on HCI / history / sign Detection conception and Collaborative prognosis / Discretionary activity Interleaving / stream making plans / Multimodal interplay and textual content access / E-commerce / looking a number of records and browse studying / Adaptively allotting Cognition / E-commerce suggestions / dialogue

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The currency concerned the trade-off between speed (time taken) and accuracy. Although there were small differences in the schemes, a successful pair of responses was rewarded with 100 points minus one point for every 10 ms taken to respond. Response reversals and incorrect responses were given minus 100 points. The use of this payoff scheme means that the experiment is one of the few that is sufficiently well controlled to fully test quantitative hypotheses concerning Adaptive Interaction. The particular models tested by Howes et al.

2007), and that an important problem for the worker is, in some sense, to track, model, and project this gain curve. The utility gain curves of different tasks vary not only in coarse shape, but also in character. Some tasks, such as the article-writing example, may have a gain curve which is initially nearly linear, but which, as the article becomes complete, is subject to diminishing returns. Diminishing returns gain curves are a standard assumption in many foraging tasks, and characterise the tasks studied by S.

COLLABORATIVE DIAGNOSIS 19 One plausible case is that the human will become more conservative as the automatic alarm becomes more liberal. A further and more damaging case is that a busy human operator may allocate less attention to monitoring an alarm state if the automatic system is too liberal. In such cases, the human operator’s discrimination capability (as well as response criterion) is affected by the automatic system’s response criterion. Sorkin & Woods (1985) show how to analyse such systems as two stage signal detection, with a human-machine system ROC curve resulting from the serial performance of the two stages (machine then human).

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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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