Discovering Hidden Temporal Patterns in Behavior and Interaction: T-Pattern Detection and Analysis with Theme(tm)

ISBN-13: 9781493932481 / Angielski / Twarda / 2016 / 333 str.

Magnus S. Magnusson; Judee K. Burgoon; Maurizio Casarrubea

Opis

Discovering hidden recurring patterns in observable behavioral processes is an important issue frequently faced by numerous advanced students and researchers across many research areas, including psychology, biology, sports, robotics, media, finance, and medicine. As generally, themany powerful methods included in statistical software packages were not developed for this kind of analysis, discovering such patterns has proven a particularly difficult task, due to a lack of a) adequate formalized models of the kinds of patterns to look for, b) corresponding detection algorithms and c) their implementation in available software. The research described in this book is based on the application of such pattern types, algorithms and software developed from the late seventies to the present in the context of research in collaboration with human and animal behavioral research teams at internationally leading universities in the US and Europe, thus testing the usefulness and validity of the pattern types, algorithms and software in numerous research areas. With the (scale independent statistical hierarchical and fractal-like) T-Pattern at its heart, a set of proposed pattern types, called the T-System, forms the basis for the search algorithms implemented as the software THEME (TM) (vs. 6), which is easily available in free educational and full commercial versions.

Spis treści

- Introduction.  Magnusson M.S., et al.

- Preface. Anguera M. T.

 

     

Part 1 - Human Behavior

1.     Time and Self-similar Structure in Behavior and Interactions: From Sequences to Symmetry and Fractals. Magnusson M.S.

2.     Interactive Deception In Group Decision-Making: New Insights From Communication Pattern Analysis. Burgoon J., et al.

3.     Imposing Cognitive Load To Detect Prepared Lies: A T-Pattern Approach. Zurloni V., et al.

4.     Paraverbal Communicative Teaching T-patterns using SOCIN and SOPROX observational systems. Castañer M., et al.

5.     The Self-Organization of Self-Injurious Behavior as Revealed Through Temporal Pattern Analyses. Kemp A., et al.

6.     Detecting and Characterizing Patterns of Behavioral Symptoms of Dementia. Woods D.L., et al.

7.     Typical errors and behavioral sequences in judo techniques: knowledge of performance and the analysis of T-patterns in relation to teaching and learning the Ouchi-gari throw. Prieto I., et al.

8.     Qualitative differences in men’s and women’s facial movements in an experimental situation. Racca A., et al.

9.     Understanding Film Art: Moments Of Impact And Patterns Of Reactions. Suckfüll M. and Unz D

10. Immersive Dynamics: Presence Experiences And Patterns Of Attention. M. Brill et al.

11. Accessing Individual Style Th

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h Proposed Use Of Theme Associates. Quaeghebeur L. and McNeill D.

 Part 2 - Animal and Neuronal Behavior (Non-Human Behavior)

12. Application Of T-Pattern Analysis In The Study Of Rodent Behavior: Methodological And Experimental Highlights. Casarrubea M. et al

13. Using Hidden Behavioral Patterns To Study Nausea In A Preclinical Model. Horn C. and Magnusson M.S.

14. Informative Value Of Vocalizations During Multimodal Interactions In Red-Capped Mangabeys. Baraud I., et al.

15. Identification And Description Of Behaviours And Domination Patterns In Captive Vervet Monkeys (Cercophitecus Aethiops Pygerythrus) During Feeding Time. Ortiz G., et al.

16. Tidal Location Of Atlantic Cod In Icelandic Waters And Identification Of Vertical And Horizontal Movement Patterns In Cod Behavior. Jonsson G. et al.

17. Complex Spike Patterns in Olfactory Bulb Neuronal Networks. Nicol A. et al.

 

O autorze

Magnus S. Magnusson, PhD
Magnus S. Magnusson is the creator of the T-pattern model and analysis and the author of the THEMETM Behavior Research software. He currently serves as a Research Professor at the University of Iceland, and is the founder and director of its Human Behavior Laboratory. He has worked as an invited professor at the Psychological Laboratory of University René Descartes Paris V in the Sorbonne, where in 1995 a formal inter-university collaboration convention was initiated with the T-Pattern model and analysis as the common reference. It has now been signed by 24 universities in Europe, the U.S. and Mexico. Dr. Magnusson has authored and coauthored numerous papers and chapters in many areas of behavioral and neuroscience including research on humans, animals and neuronal networks in living brains. In 2015 the Journal of Neuroscience Methods published a comprehensive review of his T-Pattern Analysis (TPA) for the analysis of the real-time structure of behavior and interaction, and a paper presenting results of TPA of interactions in neuronal networks in the olfactory bulb. He has given many invited talks at conferences and universities across the world.
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Judee K. Burgoon, PhD
Judee Burgoon is Professor of Communication, Family Studies and Human Development at the University of Arizona, where she is Director of Research for the Center for the Management of Information and Site Director for the Center for Identification Technology Research, a National Science Foundation Industry/University Cooperative Research Center. Previously she held faculty appointments at the University of Florida, Michigan State University, and University of Oklahoma and was a Visiting Scholar at Harvard University. She has authored or edited 13 books and monographs and over 300 articles, chapters and reviews related to interpersonal, group, nonverbal and verbal communication. Her recent work has emphasized deception, computer-mediated communication and human-computer interaction. Her research has been funded by the National Science Foundation, Department of Defense, Department of Homeland Security, and IARPA, among others. Her awards and honors include, from the International Communication Association, the Steven Chaffee Career Productivity Award, Robert Kibler Mentorship Award, and election as Fellow; from the National Communication Association, the Distinguished Scholar Award for a lifetime of scholarly achievement, the Mark L. Knapp Award in Interpersonal Communication and the Charles Woolbert Research Award for Scholarship of Lasting Impact. A recent survey identified her as the most prolific female scholar in communication in the 20th century.
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Maurizio Casarrubea, PhD
Maurizio Casarrubea has, since 2005, served as a Research Associate at the University of Palermo - Italy, Institute of Human Physiology “Giuseppe Pagano”, Laboratory of Behavioral Physiology, Department of Experimental Biomedicine and Clinical Neurosciences. He graduated from the University of Palermo with degrees in Medicine and Surgery, and a medical specialization in Sport Medicine and a PhD in Neurosensorial Physiophatology. Dr. Casarrubea currently teaches Human Physiology in the School of Dentistry and the School of Medicine and Surgery and has organized a laboratory of Behavioral Physiology. He has authored or co-authored numerous research papers, book chapters, and conference proceedings related to the study of anxiety-related behavior, the relationships between anxiety and pain, and the behavioral effects produced by the administration of psychoactive drugs. In addition, he regularly presents the results of his experiments to various congresses of Neurosciences and Behavioral Sciences. His current research activity is funded by the University of Palermo and is focused on the application of multivariate approaches to the study of anxiety-related behavior in rodents. He is member of the Physiological Society of Italy (S.I.F.) and of the Technologies of Knowledge Interdepartmental Center (C.I.T.C.), University of Palermo - Palermo, Italy.

Blurb

A thorough look at the different research applications of temporal pattern detection and analysis using specially developed software, THEME (TM). The T-system is a model for discovering hidden recurring patterns in observable behavior and can be useful to researchers in neuroscience, psychology, biology, robotics, finance, medicine, and many other fields. This system forms the basis for the search algorithms in THEME (TM) , now in its 6th edition and available in both educational and fully commercial versions. Each chapter describes the methodology used and discusses the findings in detail, providing a highly useful primer for advanced students and researchers.