|
Showing 1 - 9 of
9 matches in All Departments
--Core textbook featuring accessible but advanced coverage of
theory, research, and applications in nonverbal communication from
renowned scholars --Usable for undergraduate and graduate courses
in communication and psychology departments --Includes a new
chapter on identity and impression management, as well as fully
updated research coverage throughout --Online resources include an
extensive instructor's manual and test bank
--Core textbook featuring accessible but advanced coverage of
theory, research, and applications in nonverbal communication from
renowned scholars --Usable for undergraduate and graduate courses
in communication and psychology departments --Includes a new
chapter on identity and impression management, as well as fully
updated research coverage throughout --Online resources include an
extensive instructor's manual and test bank
This book analyzes the multimodal verbal and nonverbal behavior of
humans in both an artificial game, based on the well-known Mafia
and Resistance games, as well as selected other settings. This book
develops statistical results linking different types of facial
expressions (e.g. smile, pursed lips, raised eyebrows), vocal
features (e.g., pitch, loudness) and linguistic features (e.g.,
dominant language, turn length) with both unary behaviors (e.g. is
person X lying?) to binary behaviors (Is person X dominant compared
to person Y? Does X trust Y? Does X like Y?). In addition, this
book describes machine learning and computer vision-based
algorithms that can be used to predict deception, as well as the
visual focus of attention of people during discussions that can be
linked to many binary behaviors. It is written by a
multidisciplinary team of both social scientists and computer
scientists. Meetings are at the very heart of human activity.
Whether you are involved in a business meeting or in a diplomatic
negotiation, such an event has multiple actors, some cooperative
and some adversarial. Some actors may be deceptive, others may have
complex relationships with others in the group. This book consists
of a set of 11 chapters that describe the factors that link human
behavior in group settings and attitudes to facial and voice
characteristics. Researchers working in social sciences
(communication, psychology, cognitive science) with an interest in
studying the link between human interpersonal behavior and
facial/speech/linguistic characteristics will be interested in this
book. Computer scientists, who are interested in developing machine
learning and deep learning based models of human behavior in group
settings will also be interested in purchasing this book.
This book analyzes the multimodal verbal and nonverbal behavior of
humans in both an artificial game, based on the well-known Mafia
and Resistance games, as well as selected other settings. This book
develops statistical results linking different types of facial
expressions (e.g. smile, pursed lips, raised eyebrows), vocal
features (e.g., pitch, loudness) and linguistic features (e.g.,
dominant language, turn length) with both unary behaviors (e.g. is
person X lying?) to binary behaviors (Is person X dominant compared
to person Y? Does X trust Y? Does X like Y?). In addition, this
book describes machine learning and computer vision-based
algorithms that can be used to predict deception, as well as the
visual focus of attention of people during discussions that can be
linked to many binary behaviors. It is written by a
multidisciplinary team of both social scientists and computer
scientists. Meetings are at the very heart of human activity.
Whether you are involved in a business meeting or in a diplomatic
negotiation, such an event has multiple actors, some cooperative
and some adversarial. Some actors may be deceptive, others may have
complex relationships with others in the group. This book consists
of a set of 11 chapters that describe the factors that link human
behavior in group settings and attitudes to facial and voice
characteristics. Researchers working in social sciences
(communication, psychology, cognitive science) with an interest in
studying the link between human interpersonal behavior and
facial/speech/linguistic characteristics will be interested in this
book. Computer scientists, who are interested in developing machine
learning and deep learning based models of human behavior in group
settings will also be interested in purchasing this book.
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.
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.
Social Signal Processing is the first book to cover all aspects of
the modeling, automated detection, analysis, and synthesis of
nonverbal behavior in human-human and human-machine interactions.
Authoritative surveys address conceptual foundations, machine
analysis and synthesis of social signal processing, and
applications. Foundational topics include affect perception and
interpersonal coordination in communication; later chapters cover
technologies for automatic detection and understanding such as
computational paralinguistics and facial expression analysis and
for the generation of artificial social signals such as social
robots and artificial agents. The final section covers a broad
spectrum of applications based on social signal processing in
healthcare, deception detection, and digital cities, including
detection of developmental diseases and analysis of small groups.
Each chapter offers a basic introduction to its topic, accessible
to students and other newcomers, and then outlines challenges and
future perspectives for the benefit of experienced researchers and
practitioners in the field.
When people communicate, they often adapt their interaction styles
to one another. For example, they may match each other's behavior,
synchronize the timing of behavior, or behave in opposite ways.
This volume analyzes these dyadic interaction patterns and builds a
case for a new theory of adaptation. Interaction Adaptation Theory
draws the soundest principles from previous theories while being
responsive to current empirical evidence. To develop this theory
the authors summarize a broad range of theories that seek to
predict and explain adaptation patterns such as synchrony,
mirroring, matching, reciprocity, compensation, convergence, and
divergence. This volume will serve as both a reference guide for
researchers and a text for students and faculty in communication,
psychology, family studies, counseling, and sociolinguistics.
When people communicate, they often adapt their interaction styles to one another. For example, they may match each other's behavior, synchronize the timing of behavior, or behave in dissimilar ways. This volume analyzes these dyadic interaction patterns and builds a case for a new theory of adaptation: Interaction Adaptation Theory (IAT), which draws the soundest principles from previous theories while being responsive to current empirical evidence. The book concludes with the offer of new research directions that would test the theory in order to bring the research full circle and connect interaction patterns with outcomes. This volume will serve as both a reference guide for researchers and a text for students and faculty in communication, psychology, family studies, counseling, and sociolinguistics.
|
You may like...
Morbius
Jared Leto, Matt Smith, …
DVD
R179
Discovery Miles 1 790
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|