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Haptic Human-Computer Interaction

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出版日:2005/02/11 作者:Clarisse Sieckenius De Souza  出版社:Mit Pr  裝訂:精裝
In The Semiotic Engineering of Human-Computer Interaction, Clarisse Sieckenius de Souza proposes an account of HCI that draws on concepts from semiotics and computer science to investigate the relati
出版日:2005/02/11 作者:ClarisseSieckenius De Souza  出版社:Mit Pr  裝訂:平裝
A theory of HCI that uses concepts from semiotics and computer science to focus on the communication between designers and users during interaction. In The Semiotic Engineering of Human-Computer Int
出版日:2003/03/17 作者:John M. Carroll  出版社:Mit Pr  裝訂:平裝
Interfacing Thought consolidates and presents theoretically important cognitive science research in the new and intensely active domain of human-computer interaction. It is a valuable survey of the wh
出版日:1995/11/21 作者:Bonnie A. Nardi  出版社:Mit Pr  裝訂:精裝
Essays apply activity theory, a psychological theory with a naturalistic emphasis that came to fruition in the Soviet Union in the 1920s, to problems of human-computer interaction. Sections on activit
出版日:2006/11/14 作者:Manuel Imaz; David Benyon  出版社:Mit Pr  裝訂:精裝
The evolution of the concept of mind in cognitive science over the past 25 years creates new ways to think about the interaction of people and computers. New ideas about embodiment, metaphor as a fun
Human-Centered Data Science
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出版日:2022/02/01 作者:Cecilia Aragon  出版社:Mit Pr  裝訂:平裝
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski
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出版日:2015/01/23 作者:John J. McCarthy; Peter Wright  出版社:Mit Pr  裝訂:精裝
In Taking A[part], John McCarthy and Peter Wright consider a series of boundary-pushing research projects in human-computer interaction (HCI) in which the design of digital technology is used to inqui
出版日:2007/12/21 作者:Thomas Erickson; David W. McDonald  出版社:Mit Pr  裝訂:精裝
Over almost three decades, the field of human-computer interaction (HCI) has produceda rich and varied literature. Although the focus of attention today is naturally on new work, oldercontributions th
出版日:2004/02/06 作者:Geri Gay; Helene Hembrooke  出版社:Mit Pr  裝訂:精裝
The shift in the practice of human-computer interaction (HCI) Design from user-centered to context-based design marks a significant change in focus. With context-based design, designers start not wit
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