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El. knyga: Applying Systemic-Structural Activity Theory to Design of Human-Computer Interaction Systems

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, (Univ. of Central Florida, Orlando, USA), (Evolute, LLC, Louisville, Kentucky, USA)
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Human–Computer Interaction (HCI) is an interdisciplinary field that has gained recognition as an important field in ergonomics. HCI draws on ideas and theoretical concepts from computer science, psychology, industrial design, and other fields. Human–Computer Interaction is no longer limited to trained software users. Today people interact with various devices such as mobile phones, tablets, and laptops. How can you make such interaction user friendly, even when user proficiency levels vary? This book explores methods for assessing the psychological complexity of computer-based tasks. It also presents methods of qualitative and quantitative analysis of exploratory activity during interaction with a computer.

Recenzijos

"The book overcomes the traditional separation between cognition, behavior, and motivation using a systemic approach to the analysis of human work activity. The new approach enables a more user-friendly design of tasks in HCI and ergonomic design of complex humanmachine systems such as operation of automatic or semiautomatic systems. The authors did an outstanding job." Helmut Strasser, Ergonomics Division Siegen University/Germany

" presents a new systemic view based on activity theory to a very challenging multi-dimensional field. The theory presented in the book is put into practice and can be used also by practitioners in different fields." Jussi Kantola Professor, University of Vaasa, Finland

Preface xi
Authors xv
Section I Concept of Self-Regulation in Psychology and Ergonomics
1 Concept of Self-Regulation Outside of Activity Theory
3(34)
1.1 Concept of Self-Regulation versus Input/Output Task Analysis
3(3)
1.2 Self-Regulation from Control Theory Perspectives
6(9)
1.3 Self-Regulation in Cognitive Psychology
15(3)
1.4 Self-Regulation in Action Theory
18(6)
1.5 Concept of Self-Regulation in I/O Psychology
24(7)
1.6 Overview of the Concepts of Self-Regulation
31(6)
2 Concept of Self-Regulation in Activity Theory: Psychophysiology and Psychophysics Perspectives
37(34)
2.1 General Characteristics of Activity Approach
37(6)
2.2 Anokhin's Concept of Functional Self-Regulative System
43(7)
2.3 Bernshtein's Concept of Self-Regulation and Motor Activity Analysis
50(8)
2.4 Applications that Derived from the Psychophysiological Study of Self-Regulation
58(6)
2.5 Analysis of Activity Strategies in Signal Detection Tasks
64(7)
3 Concept of Self-Regulation in Systemic-Structural Activity Theory and Strategies of Task Performance
71(68)
3.1 Concept of Self-Regulation and SA: Comparative Analysis
71(15)
3.2 Self-Regulation Model of Orienting Activity
86(15)
3.3 General Model of Activity Self-Regulation
101(12)
3.4 Individual Aspects of Activity Self-Regulation
113(7)
3.5 Self-Regulation of Positioning Actions Performance
120(19)
4 Thinking as a Self-Regulative System and Task Analysis
139(30)
4.1 Meaning and Sense as a Tool of Thinking Process
139(6)
4.2 Meaning as a Function of Standardized Actions
145(3)
4.3 Study of Thinking in the Framework of Task Analysis
148(7)
4.4 Self-Regulation Model of Thinking Process
155(8)
4.5 Integration of Cognitive and Activity Approaches in the Study of Thinking
163(6)
5 Attention as a Self-Regulative System
169(24)
5.1 Mechanisms of Attention and Strategies of Information Processing
169(12)
5.2 Self-Regulative Model of Attention
181(12)
Section II Design
6 Cognitive and Behavioral Actions as Basic Units of Activity Analysis
193(50)
6.1 Description and Classification of Cognitive Actions
193(6)
6.1.1 Direct Connection Actions
196(1)
6.1.2 Mental Transformational Actions
196(1)
6.1.3 Higher-Order Transformational Actions
197(2)
6.2 Principles of Cognitive Actions Extraction in Task Analysis
199(12)
6.3 Description of Motor Actions and the Time of Their Performance
211(10)
6.3.1 Other Method of Action Classification
218(3)
6.4 MTM-1 and Strategies of Activity Performance
221(22)
7 Morphological Analysis of Work Activity during Performance of Human--Computer Interaction Tasks
243(14)
7.1 Introduction to Morphological Analysis of Activity
243(5)
7.2 Algorithmic Task Analysis versus Constraint-Based Approach
248(9)
Section III Quantitative Assessment of Computer-Based Task
8 Quantitative Assessment of Task Complexity Computer-Based Tasks
257(22)
8.1 Analysis of Existing Method of Complexity Evaluation of Computer-Based Tasks
257(5)
8.2 Theoretical Principles for Evaluating the Complexity of the Computer-Based Task
262(17)
9 Complexity Evaluation: Practical Example
279(32)
9.1 Basic Principles of Morphological Analysis of Computer-Based Tasks
279(6)
9.2 Extraction of Cognitive and Behavioral Actions from Eye and Mouse Movement Data
285(8)
9.3 Action Classification Table Analysis
293(5)
9.4 Algorithmic Description of Task and Its Time Structure Analysis
298(6)
9.5 Evaluation of Task Complexity of Computer-Based Task
304(7)
10 Introduction to Human Reliability Assessment
311(14)
10.1 Method of Human Reliability Assessment of Computer-Based Tasks
311(3)
10.2 Error Analysis in Computer-Based Tasks
314(11)
11 Systemic-Structural Activity Approach to Reliability Assessment of Computer-Based Tasks
325(24)
11.1 Objectively Logical Analysis of the Existing Method of Task Performance
325(2)
11.2 Algorithmic Description of Existing Method of Task Performance
327(5)
11.3 Analysis of Erroneous Actions and Failures for the Existing Method of Task Performance
332(2)
11.4 Reliability Assessment of the Existing Method of Task Performance
334(6)
11.4.1 Objectively Logical Analysis of the New Method of Task Performance
338(2)
11.5 Algorithmic Description of the New Method of Task Performance
340(1)
11.6 Evaluation of the Reliability of New Method of Task Performance
341(8)
12 Formalized and Quantitative Analysis of Exploratory Activity in HCI Tasks
349(28)
12.1 General Characteristics of a Web-Survey Task
349(8)
12.1.1 Task Description
352(5)
12.2 Algorithmic Description of the Web-Survey Task
357(9)
12.3 Analysis of Abandoned Actions
366(11)
Conclusion 377(4)
Glossary 381(8)
Bibliography 389(16)
Index 405
Gregory Bedny presently resides in Wayne, NJ. He works as a Research Associate at Evolute, Inc. in Louisville, Kentucky. He is an American citizen who emigrated from the former Soviet where he earned his Doctorate Degree (PhD) in Industrial Organizational Psychology from the Educational University of Moscow and a Post-Doctorate Degree (ScD) in Experimental Psychology from the Institute of General and Educational Psychology, National Pedagogical Academy of Science of USSR. He also is Academician of the International Academy of Human Problems in Aviation and Astronautics in Russia and Honorary Doctorate in Science, Ukrainian State University. For his achievements in psychology he has been awarded the Medal of the Ukrainian National Academy of Pedagogical Sciences. He is the author of five original scholarly books, the latest of which were published in USA. The first one was co-authors with Dr David Meister in the US in 1997. This book published by Lawrence Erlbaum Associates, Inc. The second book was co-authored with Dr. Karwowski in the US in 2007. This book published by Taylor and Francis Group. He also is the co-editor of two books published by Taylor and Francis Group in 2008 and 2011. He was invited editor of journal Theoretical Issues in Ergonomics Science, V-5, #3, 2004. In former Soviet Union he worked as Industrial Engineer of Food Processing Machinery Factory, Industrial Psychologist in Industrial Research and Consulting Institute. After receiving his doctorate degrees he worked as associate and then full professor in Construction Engineering State University, in Marines Postgraduate School (part time), Pedagogical University in Odessa, Ukraine. He is author of different textbooks for universities in former Soviet Union. Dr Bedny has been conducting research on general and systemic-structural activity theory for the past 25 years. Systemic-structural activity theory is high level generality theory from which derived unified and standardize m
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