| Description |
1 online resource (xvii, 603 pages) : illustrations |
| Series |
Oxford library of psychology |
|
Oxford library of psychology
|
| Contents |
Large panel data models with cross-sectional dependence : a survey / Alexander Chudik, M. Hashem Pesaran -- Panel cointegration / In Choi -- Dynamic panel data models / Maurice J.G. Bun, Vasilis Sarafidis -- Incidental parameters and dynamic panel modeling / Hyungsik Roger Moon, Benoit Perron, Peter C.B. Phillips -- Unbalanced panel data models with interactive effects / Jushan Bai, Yuan Liao, Jisheng Yang -- Panel data models for discrete choice / William Greene -- Panel conditional and multinomial logit estimators / Myoung-Jae Lee -- Count panel data / A. Colin Cameron, Pravin K. Trivedi -- Treatment effects and panel data / Michael Lechner -- Nonparametric panel data regression models / Yiguo Sun, Yu Yvette Zhang, Qi Li -- Measurement error in panel data / Erik Meijer, Laura Spierdijk, Tom Wansbeek -- Spatial panel data models / Lung-Fei Lee, Jihai Yu -- Random coefficients models in panels / Cheng Hsiao -- Robust panel data methods and influential observations / Badi H. Baltagi, George Bresson -- The analysis of macroeconomic panel data / Jörg Breitung -- Cohort data in health economics / Stephanie Von Hinke Kessler Scholder, Andrew M. Jones -- Panel data and productivity measurement / Robin C. Sickles, Jiaqi Hao, Chenjun Shang -- Panel data discrete choice models of consumer demand / Michael P. Keane -- Panel econometrics of labor market outcomes / Thomas J. Kniesner, James P. Ziliak -- Panel data gravity models of international trade / Badi H. Baltagi, Peter Egger, Michael Pfaffermayr |
| Summary |
"The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Human-computer interaction.
|
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User-centered system design.
|
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Human-computer interaction
|
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User-centered system design
|
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Affective Computing
|
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Mensch-Maschine-Kommunikation
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Computers.
|
| Genre/Form |
Handboeken (vorm)
|
| Form |
Electronic book
|
| Author |
Calvo, Rafael A., editor
|
|
D'Mello, Sidney, editor
|
|
Gratch, Jonathan (Jonathan Matthew), 1963- editor
|
|
Kappas, Arvid, editor
|
| ISBN |
9780199373475 |
|
0199373477 |
|
