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Ways of Knowing in HCI

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Cover of 'Ways of Knowing in HCI'

Table of Contents

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    Book Overview
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    Chapter 1 Reading and Interpreting Ethnography
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    Chapter 2 Curiosity, Creativity, and Surprise as Analytic Tools: Grounded Theory Method
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    Chapter 3 Knowing by Doing: Action Research as an Approach to HCI
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    Chapter 4 Concepts, Values, and Methods for Technical Human–Computer Interaction Research
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    Chapter 5 Study, Build, Repeat: Using Online Communities as a Research Platform
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    Chapter 6 Field Deployments: Knowing from Using in Context
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    Chapter 7 Science and Design: The Implications of Different Forms of Accountability
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    Chapter 8 Research Through Design in HCI
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    Chapter 9 Experimental Research in HCI
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    Chapter 10 Survey Research in HCI
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    Chapter 11 Crowdsourcing in HCI Research
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    Chapter 12 Sensor Data Streams
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    Chapter 13 Eye Tracking: A Brief Introduction
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    Chapter 14 Understanding User Behavior Through Log Data and Analysis
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    Chapter 15 Looking Back: Retrospective Study Methods for HCI
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    Chapter 16 Agent Based Modeling to Inform the Design of Multiuser Systems
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    Chapter 17 Social Network Analysis in HCI
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    Chapter 18 Research Ethics and HCI
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    Chapter 19 Epilogue
Attention for Chapter 7: Science and Design: The Implications of Different Forms of Accountability
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Citations

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Readers on

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42 Mendeley
Summary Dimensions citations
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Chapter title
Science and Design: The Implications of Different Forms of Accountability
Chapter number 7
Book title
Ways of Knowing in HCI
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4939-0378-8_7
Book ISBNs
978-1-4939-0377-1, 978-1-4939-0378-8
Authors

William Gaver, Gaver, William

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 43%
Researcher 9 21%
Student > Master 4 10%
Professor 1 2%
Lecturer 1 2%
Other 2 5%
Unknown 7 17%
Readers by discipline Count As %
Computer Science 13 31%
Design 11 26%
Social Sciences 3 7%
Engineering 2 5%
Agricultural and Biological Sciences 1 2%
Other 5 12%
Unknown 7 17%

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