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HCI Models, Theories, and Frameworks
Toward a Multidisciplinary Science
- 1st Edition - April 4, 2003
- Editor: John M. Carroll
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 3 9 0 8 6 9 - 8
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 9 1 4 1 - 7
HCI Models, Theories, and Frameworks provides a thorough pedagological survey of the science of Human-Computer Interaction (HCI). HCI spans many disciplines and professio… Read more
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Request a sales quoteHCI Models, Theories, and Frameworks provides a thorough pedagological survey of the science of Human-Computer Interaction (HCI). HCI spans many disciplines and professions, including anthropology, cognitive psychology, computer graphics, graphical design, human factors engineering, interaction design, sociology, and software engineering. While many books and courses now address HCI technology and application areas, none has addressed HCI’s multidisciplinary foundations with much scope or depth. This text fills a huge void in the university education and training of HCI students as well as in the lifelong learning and professional development of HCI practitioners. Contributors are leading researchers in the field of HCI. If you teach a second course in HCI, you should consider this book.
This book provides a comprehensive understanding of the HCI concepts and methods in use today, presenting enough comparative detail to make primary sources more accessible. Chapters are formatted to facilitate comparisons among the various HCI models. Each chapter focuses on a different level of scientific analysis or approach, but all in an identical format, facilitating comparison and contrast of the various HCI models. Each approach is described in terms of its roots, motivation, and type of HCI problems it typically addresses. The approach is then compared with its nearest neighbors, illustrated in a paradigmatic application, and analyzed in terms of its future.
This book is essential reading for professionals, educators, and students in HCI who want to gain a better understanding of the theoretical bases of HCI, and who will make use of a good background, refresher, reference to the field and/or index to the literature.
- Contributors are leading researchers in the field of Human-Comptuter Interaction
- Fills a major gap in current literature about the rich scientific foundations of HCI
- Provides a thorough pedogological survey of the science of HCI
Professionals, educators, and students in human-computer interaction (HCI) who want to gain a better understanding of the theoretical bases of HCI, and who will make use of a good background, refresher, reference to the field and/or index to the literature.
1. Introduction: Toward a Multidisciplinary Science of Human-Computer Interaction
by John M. Carroll, Virginia Tech
1.1 The Golden Age
1.2 Let 100 Flowers Bloom
1.3 Scientific Fragmentation
1.4 Teaching and Learning References
2. Design as Applied Perception
by Colin Ware, University of New Hampshire
2.1 Motivation
2.2 Scientific Foundation
2.2.1 Stage 1: Features in Early Vision
2.2.2 Stage 2: Pattern Perception
2.2.3 Stage 3: Objects
2.2.4 Claims and Limitations
2.3 Case Study
2.4 Current Status of Theoretical Approach
2.4.1 Application References
3. Motor Behavior Models for Human-Computer Interaction
by I. Scott MacKenzie, York University, Toronto, Canada
3.1 Motivation
3.2 Overview: Models and Modeling
3.2.1 Predictive Models
3.2.2 Descriptive Models
3.3 Scientific Foundations and Model Descriptions
3.3.1 Fitts's Law
3.3.2 Guird's Model of Bimanual Skill
3.4 Case Studies
3.4.1 Case Study #1: Fitts's Law Prediction of Text-Entry Rates on Mobile Phones
3.4.2 Case Study #2: Bimanual Control and Desktop Computer Affordances
3.5 Current Status and Further Reading
References
4. Information Processing and Skilled Behavior
by Bonnie E. John, Carnegie Mellon University
4.1 Motivation for Using the Human Information Processing Theory in Human-Computer Interaction
4.2 Overview of GOMS
4.3 Scientific Foundations Underlying GOMS
4.3.1 Conceptual Frameworks
4.3.2 Computational Cognitive Architectures
4.3.3 Task-Analysis Techniques
4.4 Detailed Description
4.4.1 KLM
4.4.2 CMN-GOMS
4.4.3 CPM-GOMS
4.5 Case Study: Project Ernestine
4.5.1 Details of Project Ernestine's CPM-GOMS Modeling Effort
4.6 Current Status
4.6.1 GOMS in Particular
4.6.2 Human Information Processing in General
4.7 Further Reading
4.7.1 Seminal Text in Human Information
4.7.2 Human Information Processing in HCI
4.7.3 Human Information Processing Embodied in Computational Cognitive Architectures
4.7.4 ACT-R
4.7.5 EPIC
References
5. Notational Systems—The Cognitive Dimensions of Notations Framework
by Alan Blackwell and Thomas Green, Cambridge University, Cambridge, England
5.1 Motivation
5.1.1 Example
5.2 Overview
5.3 Scientific Foundations
5.4 Detailed Description
5.4.1 Activities
5.4.2 The Components of Notational Systems
5.4.3 Notational Dimensions
5.4.4 Profiles
5.4.5 Trade-Offs
5.4.6 Use by an Analyst
5.4.7 A Questionnaire Approach
5.4.8 Cognitive Dimensions of Interactive Devices
5.5 Case Study: Evaluating a Visual-Programming Language
5.5.1 Illustrating the Notation
5.5.2 Conclusions
5.6 Current Status
5.6.1 Dissemination
5.6.2 Clarification and Formalization
5.6.3 Coverage
5.6.4 Analysis Tools
5.6.5 Beyond CDs: Misfit Analysis
5.7 Further Reading
References
6. Users' Mental Models: The Very Ideas
by Stephen J. Payne, Cardiff University, Wales
6.1 Motivation
6.2 Scientific Foundations
6.2.1 Idea 1. Mental Content vs. Cognitive Architecture: Mental Models as Theories
6.2.2 Idea 2. Models vs. Methods: Mental Models as Problem Spaces
6.2.3 Idea 3. Models vs. Descriptions: Mental Models as Homomorphisms
6.2.4 Idea 4. Models of Representations: Mental Models Can Be Derived from Language, Perception, or Imagination
6.3 Detailed Description
6.3.1 Idea 1. Mental Representations of Representational Artifacts
6.3.2 Idea 2. Mental Models as Computationally Equivalent to External
Representations
6.4 Case Study
6.4.1 A Yoked State Spaces Analysis of Calendar Design
6.4.2 Experiments on Internalization of Device Instructions
6.5 Further Reading (ed—please confirm—this isn't in my notes) References
7. Exploring and Finding Information
by Peter Pirolli, Palo Alto Research Center
7.1 Introduction
7.2 Motivation: Man the Informavore
7.2.1 Emergence of the Global Information Ecology
7.3 Scientific Foundations
7.3.1 Influence of Evolutionary Theory: Adaptationist Approaches
7.3.2 Information-Foraging Theory
7.3.3 Optimal-Foraging Theory
7.4 Detailed Description: Scatter/Gather
7.4.1 Simulating Users
7.4.2 Information Scent
7.4.3 Information-Foraging Evaluations
7.4.4 Simulating Users and Evaluating Alternative Scatter/Gather Diagrams
7.5 Case Study: The World Wide Web
7.5.1 Information Scent as a Major Determinant of Web User Behavior
7.5.2 Simulated Users and Usability Evaluation
7.6 Current Status
Author Notes
References
8. Distributed Cognition
by Mark Perry, Brunel University, London, England
8.1 Motivation
8.1.1 Designing Collaborative Technologies
8.1.2 Distributed Cognition in Context
8.2 Overview
8.3 Scientific Foundations
8.3.1 External Support for Thought and Systems Perspectives in Cognition
8.4 Detailed Description
8.4.1 Computation and Cognition
8.4.2 The Social Organization of Group Problem Solving
8.4.3 Communication and Coordination of Distributed Knowledge
8.4.4 "Doing" DCog
8.5 Case Study: Engineering Design and Construction
8.5.1 Organizational Coordination and Control in Representation Transformation
8.5.2 Representational Transformations in Information Processing
8.5.3 Coordination of Representational Transformations
8.5.4 Summary
8.6 Current Status
Author Notes
Further Reading
References
9. Cognitive Work Analysis
by Penelope M. Sanderson, University of Queensland, Australia
9.1 Motivation
9.1.1 Connection of CWA with Other Areas
9.1.2 Designing for Unanticipated Events in First-of-a-Kind Systems
9.2 Overview of CWA
9.3 Scientific Foundations
9.3.1 A Systems Perspective
9.3.2 An Ecological Orientation
9.3.3 The Role of Cognition
9.3.4 Summary
9.4 Detailed Description
9.4.1 Overviews of CWA
9.4.2 Description of CWA Classes of Constraint
9.4.3 CWA and the System Life Cycle
9.5 Case Studies
9.5.1 Display Design
9.5.2 Systems Engineering and Human-System Integration
9.6 Current Status
9.7 Further Reading
References
10. Common Ground in Electronically Mediated Communication: Clark's Theory of Language Use
by Andrew Monk, University of York, England
10.1 Motivation
10.1.1 Production Plus Comprehension Multiplied by Communication
10.1. 2 Language Use as a Collaborative Activity
10.2 Overview
10.3 Scientific Foundations
10.4 Detailed Description
10.4.1 Fundamentals
10.4.2 Grounding, Levels, Layers, and Tracks
10.5 Case Studies—Applying the Theory to the Design of Technology for Communication
10.5.1 The Costs of Grounding (Clark & Brennan)
10.5.2 Why Cognoter Did Not Work (Tatar, Foster, & Bobrow)
10.5.3 Predicting the Peripherality of Peripheral Participants (Watts & Monk)
10.6 Current Status
10.7 Further Reading
Acknowledgments
References
11. Activity Theory
by Olav W. Bertelsen and Susanne Bødker, University of Aarhus, Denmark
11.1 Motivation
11.1.1 Through the Interface—Artifacts Used in Context
11.1.2 In Search of a New Theoretical Foundation
11.1.3 What Does It Offer?
11.1.4 What Is It Like?
11.1.5 What Sets It Apart?
11.2 Overview
11.3 Scientific Foundations
11.4 Detailed Description
11.4.1 Mediation
11.4.2 Internationalization—Externalization
11.4.3 Computer Artifacts in a Web of Activities
11.4.4 Development
11.4.5 Activity Theory in Practical Design and Evaluation
11.5 Case Study
11.5.1 Focus and Focus Shifts
11.5.2 The Concept of Artifacts in Use as a Tool in the Redesign of the CPN Tool
11.5.3 The User Interface
11.6 Current Status
11.7 Further Reading
References
12. Applying Social Psychological Theory to the Problems of Group Work
by Robert E. Kraut, Carnegie Mellon University
12.1 Motivation
12.2 An Overview of CSCW Research
12.3 Scientific Foundations
12.3.1 Input-Process-Output Models of Group Functioning
12.3.2 Process Losses
12.3.3 Social Loafing
12.4 Detailed Description—Explaining Productivity Loss in Brainstorming Teams
12.4.1 Application to System Design
12.5 Case Study: Applying Social-Psychological Theory to the Problem of Undercontribution to Online Groups
12.5.1 Social Loafing and Online Groups
12.6 Current Status
References
13. Studies of Work in Human-Computer Interaction
by Graham Button, Xerox Research Centre Europe, Grenoble, France
13.1 Motivation
13.2 Overview: A Paradigmatic
13.3. Scientific Foundations
13.3.1 Ethnography
13.3.2 Situated Action
13.3.3 Ethnomethodology
13.4 Detailed Description
13.4.1 Critique
13.4.2 Evaluation
13.4.3 Requirements
13.4.4 Foundational Reconceptualizations
13.5 Case Study
13.6 Current Status
13.7 Further Reading
References
14. Upside-Down Vs and Algorithms—Computational Formalisms and Theory
by Alan Dix, Lancaster University, England
14.1 Motivation
14.1.1 What Is Formal?
14.1.2 The Myth of Informality
14.1.3 Chapter Overview
14.2 First Steps
14.2.1 Two Examples
14.2.2 Lessons
14.3 Scientific Foundations
14.3.1 A Brief History of Formalism
14.3.2 The Limits of Knowledge
14.3.3 The Theory of Computing
14.3.4 Complexity
14.3.5 Good Enough
14.3.6 Agents and Interaction
14.3.7 Notations and Specifications
14.3.8 Kinds of Notation
14.4 Detailed Description
14.4.1 Two Plus Two—Using Simple Calculation
14.4.2 Detailed Specification
14.4.3 Modeling for Generic Issues
14.4.4 Computer-Supported Cooperative Work and Groupware
14.4.5 Time and Continuous Interaction
14.4.6 Paradigms and Inspiration
14.4.7 Socio-Organizational Church-Turing Hypothesis
14.5 Case Study—Dialogue Specification for Transaction Processing
14.5.1 Background—Transaction Processing
14.5.2 The Problem . . .
14.5.3 All About State
14.5.4 The Solution
14.5.5 Why It Worked . . .
14.6 Current Status
14.6.1 Retrospective—Formal Methods in Computing
14.6.2 Retrospective—Formal Methods in HCI
14.6.3 Prospective
14.7 Further Reading
References
15. Design Rationale as Theory
by John M. Carroll and Mary Beth Rosson, Virginia Polytechnic Institute
15.1 Motivation
15.2 Overview
15.3 Scientific Foundations
15.3.1 Ecological Science
15.3.2 Action Science
15.3.3 Synthetic Science
15.4 Detailed Description
15.5 Case Study
15.5.1 MOOsburg as a Case Study in Action Science
15.5.2 MOOsburg as a Case Study in Ecological Science
15.5.3 MOOsburg as a Case Study in Synthetic Science
15.6 Current Status and Further Reading
Acknowledgments
References
by John M. Carroll, Virginia Tech
1.1 The Golden Age
1.2 Let 100 Flowers Bloom
1.3 Scientific Fragmentation
1.4 Teaching and Learning References
2. Design as Applied Perception
by Colin Ware, University of New Hampshire
2.1 Motivation
2.2 Scientific Foundation
2.2.1 Stage 1: Features in Early Vision
2.2.2 Stage 2: Pattern Perception
2.2.3 Stage 3: Objects
2.2.4 Claims and Limitations
2.3 Case Study
2.4 Current Status of Theoretical Approach
2.4.1 Application References
3. Motor Behavior Models for Human-Computer Interaction
by I. Scott MacKenzie, York University, Toronto, Canada
3.1 Motivation
3.2 Overview: Models and Modeling
3.2.1 Predictive Models
3.2.2 Descriptive Models
3.3 Scientific Foundations and Model Descriptions
3.3.1 Fitts's Law
3.3.2 Guird's Model of Bimanual Skill
3.4 Case Studies
3.4.1 Case Study #1: Fitts's Law Prediction of Text-Entry Rates on Mobile Phones
3.4.2 Case Study #2: Bimanual Control and Desktop Computer Affordances
3.5 Current Status and Further Reading
References
4. Information Processing and Skilled Behavior
by Bonnie E. John, Carnegie Mellon University
4.1 Motivation for Using the Human Information Processing Theory in Human-Computer Interaction
4.2 Overview of GOMS
4.3 Scientific Foundations Underlying GOMS
4.3.1 Conceptual Frameworks
4.3.2 Computational Cognitive Architectures
4.3.3 Task-Analysis Techniques
4.4 Detailed Description
4.4.1 KLM
4.4.2 CMN-GOMS
4.4.3 CPM-GOMS
4.5 Case Study: Project Ernestine
4.5.1 Details of Project Ernestine's CPM-GOMS Modeling Effort
4.6 Current Status
4.6.1 GOMS in Particular
4.6.2 Human Information Processing in General
4.7 Further Reading
4.7.1 Seminal Text in Human Information
4.7.2 Human Information Processing in HCI
4.7.3 Human Information Processing Embodied in Computational Cognitive Architectures
4.7.4 ACT-R
4.7.5 EPIC
References
5. Notational Systems—The Cognitive Dimensions of Notations Framework
by Alan Blackwell and Thomas Green, Cambridge University, Cambridge, England
5.1 Motivation
5.1.1 Example
5.2 Overview
5.3 Scientific Foundations
5.4 Detailed Description
5.4.1 Activities
5.4.2 The Components of Notational Systems
5.4.3 Notational Dimensions
5.4.4 Profiles
5.4.5 Trade-Offs
5.4.6 Use by an Analyst
5.4.7 A Questionnaire Approach
5.4.8 Cognitive Dimensions of Interactive Devices
5.5 Case Study: Evaluating a Visual-Programming Language
5.5.1 Illustrating the Notation
5.5.2 Conclusions
5.6 Current Status
5.6.1 Dissemination
5.6.2 Clarification and Formalization
5.6.3 Coverage
5.6.4 Analysis Tools
5.6.5 Beyond CDs: Misfit Analysis
5.7 Further Reading
References
6. Users' Mental Models: The Very Ideas
by Stephen J. Payne, Cardiff University, Wales
6.1 Motivation
6.2 Scientific Foundations
6.2.1 Idea 1. Mental Content vs. Cognitive Architecture: Mental Models as Theories
6.2.2 Idea 2. Models vs. Methods: Mental Models as Problem Spaces
6.2.3 Idea 3. Models vs. Descriptions: Mental Models as Homomorphisms
6.2.4 Idea 4. Models of Representations: Mental Models Can Be Derived from Language, Perception, or Imagination
6.3 Detailed Description
6.3.1 Idea 1. Mental Representations of Representational Artifacts
6.3.2 Idea 2. Mental Models as Computationally Equivalent to External
Representations
6.4 Case Study
6.4.1 A Yoked State Spaces Analysis of Calendar Design
6.4.2 Experiments on Internalization of Device Instructions
6.5 Further Reading (ed—please confirm—this isn't in my notes) References
7. Exploring and Finding Information
by Peter Pirolli, Palo Alto Research Center
7.1 Introduction
7.2 Motivation: Man the Informavore
7.2.1 Emergence of the Global Information Ecology
7.3 Scientific Foundations
7.3.1 Influence of Evolutionary Theory: Adaptationist Approaches
7.3.2 Information-Foraging Theory
7.3.3 Optimal-Foraging Theory
7.4 Detailed Description: Scatter/Gather
7.4.1 Simulating Users
7.4.2 Information Scent
7.4.3 Information-Foraging Evaluations
7.4.4 Simulating Users and Evaluating Alternative Scatter/Gather Diagrams
7.5 Case Study: The World Wide Web
7.5.1 Information Scent as a Major Determinant of Web User Behavior
7.5.2 Simulated Users and Usability Evaluation
7.6 Current Status
Author Notes
References
8. Distributed Cognition
by Mark Perry, Brunel University, London, England
8.1 Motivation
8.1.1 Designing Collaborative Technologies
8.1.2 Distributed Cognition in Context
8.2 Overview
8.3 Scientific Foundations
8.3.1 External Support for Thought and Systems Perspectives in Cognition
8.4 Detailed Description
8.4.1 Computation and Cognition
8.4.2 The Social Organization of Group Problem Solving
8.4.3 Communication and Coordination of Distributed Knowledge
8.4.4 "Doing" DCog
8.5 Case Study: Engineering Design and Construction
8.5.1 Organizational Coordination and Control in Representation Transformation
8.5.2 Representational Transformations in Information Processing
8.5.3 Coordination of Representational Transformations
8.5.4 Summary
8.6 Current Status
Author Notes
Further Reading
References
9. Cognitive Work Analysis
by Penelope M. Sanderson, University of Queensland, Australia
9.1 Motivation
9.1.1 Connection of CWA with Other Areas
9.1.2 Designing for Unanticipated Events in First-of-a-Kind Systems
9.2 Overview of CWA
9.3 Scientific Foundations
9.3.1 A Systems Perspective
9.3.2 An Ecological Orientation
9.3.3 The Role of Cognition
9.3.4 Summary
9.4 Detailed Description
9.4.1 Overviews of CWA
9.4.2 Description of CWA Classes of Constraint
9.4.3 CWA and the System Life Cycle
9.5 Case Studies
9.5.1 Display Design
9.5.2 Systems Engineering and Human-System Integration
9.6 Current Status
9.7 Further Reading
References
10. Common Ground in Electronically Mediated Communication: Clark's Theory of Language Use
by Andrew Monk, University of York, England
10.1 Motivation
10.1.1 Production Plus Comprehension Multiplied by Communication
10.1. 2 Language Use as a Collaborative Activity
10.2 Overview
10.3 Scientific Foundations
10.4 Detailed Description
10.4.1 Fundamentals
10.4.2 Grounding, Levels, Layers, and Tracks
10.5 Case Studies—Applying the Theory to the Design of Technology for Communication
10.5.1 The Costs of Grounding (Clark & Brennan)
10.5.2 Why Cognoter Did Not Work (Tatar, Foster, & Bobrow)
10.5.3 Predicting the Peripherality of Peripheral Participants (Watts & Monk)
10.6 Current Status
10.7 Further Reading
Acknowledgments
References
11. Activity Theory
by Olav W. Bertelsen and Susanne Bødker, University of Aarhus, Denmark
11.1 Motivation
11.1.1 Through the Interface—Artifacts Used in Context
11.1.2 In Search of a New Theoretical Foundation
11.1.3 What Does It Offer?
11.1.4 What Is It Like?
11.1.5 What Sets It Apart?
11.2 Overview
11.3 Scientific Foundations
11.4 Detailed Description
11.4.1 Mediation
11.4.2 Internationalization—Externalization
11.4.3 Computer Artifacts in a Web of Activities
11.4.4 Development
11.4.5 Activity Theory in Practical Design and Evaluation
11.5 Case Study
11.5.1 Focus and Focus Shifts
11.5.2 The Concept of Artifacts in Use as a Tool in the Redesign of the CPN Tool
11.5.3 The User Interface
11.6 Current Status
11.7 Further Reading
References
12. Applying Social Psychological Theory to the Problems of Group Work
by Robert E. Kraut, Carnegie Mellon University
12.1 Motivation
12.2 An Overview of CSCW Research
12.3 Scientific Foundations
12.3.1 Input-Process-Output Models of Group Functioning
12.3.2 Process Losses
12.3.3 Social Loafing
12.4 Detailed Description—Explaining Productivity Loss in Brainstorming Teams
12.4.1 Application to System Design
12.5 Case Study: Applying Social-Psychological Theory to the Problem of Undercontribution to Online Groups
12.5.1 Social Loafing and Online Groups
12.6 Current Status
References
13. Studies of Work in Human-Computer Interaction
by Graham Button, Xerox Research Centre Europe, Grenoble, France
13.1 Motivation
13.2 Overview: A Paradigmatic
13.3. Scientific Foundations
13.3.1 Ethnography
13.3.2 Situated Action
13.3.3 Ethnomethodology
13.4 Detailed Description
13.4.1 Critique
13.4.2 Evaluation
13.4.3 Requirements
13.4.4 Foundational Reconceptualizations
13.5 Case Study
13.6 Current Status
13.7 Further Reading
References
14. Upside-Down Vs and Algorithms—Computational Formalisms and Theory
by Alan Dix, Lancaster University, England
14.1 Motivation
14.1.1 What Is Formal?
14.1.2 The Myth of Informality
14.1.3 Chapter Overview
14.2 First Steps
14.2.1 Two Examples
14.2.2 Lessons
14.3 Scientific Foundations
14.3.1 A Brief History of Formalism
14.3.2 The Limits of Knowledge
14.3.3 The Theory of Computing
14.3.4 Complexity
14.3.5 Good Enough
14.3.6 Agents and Interaction
14.3.7 Notations and Specifications
14.3.8 Kinds of Notation
14.4 Detailed Description
14.4.1 Two Plus Two—Using Simple Calculation
14.4.2 Detailed Specification
14.4.3 Modeling for Generic Issues
14.4.4 Computer-Supported Cooperative Work and Groupware
14.4.5 Time and Continuous Interaction
14.4.6 Paradigms and Inspiration
14.4.7 Socio-Organizational Church-Turing Hypothesis
14.5 Case Study—Dialogue Specification for Transaction Processing
14.5.1 Background—Transaction Processing
14.5.2 The Problem . . .
14.5.3 All About State
14.5.4 The Solution
14.5.5 Why It Worked . . .
14.6 Current Status
14.6.1 Retrospective—Formal Methods in Computing
14.6.2 Retrospective—Formal Methods in HCI
14.6.3 Prospective
14.7 Further Reading
References
15. Design Rationale as Theory
by John M. Carroll and Mary Beth Rosson, Virginia Polytechnic Institute
15.1 Motivation
15.2 Overview
15.3 Scientific Foundations
15.3.1 Ecological Science
15.3.2 Action Science
15.3.3 Synthetic Science
15.4 Detailed Description
15.5 Case Study
15.5.1 MOOsburg as a Case Study in Action Science
15.5.2 MOOsburg as a Case Study in Ecological Science
15.5.3 MOOsburg as a Case Study in Synthetic Science
15.6 Current Status and Further Reading
Acknowledgments
References
- No. of pages: 576
- Language: English
- Edition: 1
- Published: April 4, 2003
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780123908698
- eBook ISBN: 9780080491417
JC
John M. Carroll
John M. Carroll is Professor of Computer Science, Education, and Psychology, and Director of the Center for Human-Computer Interaction, at Virginia Tech. He has written more than 250 technical papers, more than 25 conference plenary addresses, and 12 books. He serves on 10 editorial boards for journals and handbooks, has won the Rigo Career Achievement Award from ACM, received the Silver Core Award from IFIP, and is a member of the CHI Academy.
Affiliations and expertise
Penn State UniversityRead HCI Models, Theories, and Frameworks on ScienceDirect