Adaptive interaction : a utility maximization approach to understanding human interaction with technology /
By: Payne, S. J. (Stephen J.).
Contributor(s): Howes, Andrew.
Material type: BookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on human-centered informatics: # 16.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013Description: 1 electronic text (xi, 99 p.) : ill., digital file.ISBN: 9781608458394 (electronic bk.).Subject(s): Human-computer interaction | HCI theory | cognitive science | bounded optimality | information foragingDDC classification: 004.019 Online resources: Abstract with links to resource | Abstract with links to full text Also available in print.Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
E books | PK Kelkar Library, IIT Kanpur | Available | EBKE479 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 83-98).
1. Introduction: a framework for cognitive science research on HCI --
2. Background --
3. Signal detection theory and collaborative diagnosis -- 3.1 Basic signal detection -- 3.2 SDT and the adaptive interaction framework -- 3.3 Adaptation -- 3.4 Collaborative diagnosis --
4. Discretionary task interleaving -- 4.1 Mechanism constraints -- 4.2 Solving the adaptive problem --
5. Movement planning -- 5.1 Where to aim? -- 5.2 How long to take? -- 5.3 Optimizing submovements -- 5.4 Revisiting Fitts's law -- 5.5 Button size design --
6. Multimodal interaction and text entry -- 6.1 Combining movement and response ordering --
7. E-commerce -- 7.1 Strategies in decision making -- 7.2 Application to design --
8. Browsing multiple documents and skim reading -- 8.1 Browsing multiple texts -- 8.2 The strategy space -- 8.2.1 A sampling strategy -- 8.2.2 A satisficing strategy -- 8.3 Correspondence to human behaviour -- 8.4 Skim-reading a single document --
9. Adaptively distributing cognition -- 9.1 Knowledge in the world -- 9.2 Methods on the display -- 9.3 Interactive search (problem solving and planning on the display) --
10. E-commerce feedback --
11. Discussion -- 11.1 Issues for optimality and adaptive interaction -- 11.2 Implications for HCI investigations -- 11.3 Conclusion --
References -- Authors' biographies.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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This lecture describes a theoretical framework for the behavioural sciences that holds high promise for theory-driven research and design in Human-Computer Interaction.The framework is designed to tackle the adaptive, ecological, and bounded nature of human behaviour. It is designed to help scientists and practitioners reason about why people choose to behave as they do and to explain which strategies people choose in response to utility, ecology, and cognitive information processing mechanisms. A key idea is that people choose strategies so as to maximise utility given constraints. The framework is illustrated with a number of examples including pointing, multitasking, skim-reading, online purchasing, Signal Detection Theory and diagnosis, and the influence of reputation on purchasing decisions. Importantly, these examples span from perceptual/motor coordination, through cognition to social interaction. Finally,the lecture discusses the challenging idea that people seek to find optimal strategies and also discusses the implications for behavioral investigation in HCI.
Also available in print.
Title from PDF t.p. (viewed on April 19, 2013).
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