Social Cognition focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in our social interactions. There has been increasing interest in the links between social cognition and brain function. While substantial research has indicated that abilities such as theory of mind, social perception, attributional style, and emotion perception are clearly related to social outcomes, research has been slowed by problems in the measurement of these abilities.
Physiological measurements have been taken for about 90 years to study social interactions. First, social psychophysiology and later also social neuroscience tried to identify the physiological basis of social constructs, processes and behavior. Nowadays, Physiological Computing has emerged as a category of technology where electrophysiological data recorded directly from the human activity are used to interface with a computing device. This technology becomes even more relevant when computing can be integrated pervasively into everyday life environments.
"Physiological Computing of Social Cognition" should be understood as the application of physiological computing to the evaluation and/or treatment of social cognition abilities. It comprises a set of theoretical interdisciplinary frameworks, methodologies, methods, and hardware/software tools to interpret/act on how the human physiology mediates social interactions.
This Research Topic will provide a means for researchers and academicians who have a current or developing interest in the area of evaluation of social cognitive deficits and/or training in social cognition (e.g. cognitive enhancement therapies, attributional style training, social cognition and interaction training, or training of affect recognition, among others). Papers with a special focus on multidisciplinary approaches and multimodality are especially welcome.
Topics of interest
Topic areas include (but are not restricted to):
● Socio-Cognitive Computing
● Affective Computing
● Social Interaction
● Virtual and Augmented Reality
● Emotional Robots
● Physiological Computing
● Brain-Computer Interfaces
● Biofeedback and Neurofeedback Systems
● Eye Movements, Gaze Monitoring and Eye Blink Activity
● Wearable Systems
● Applications and Case Studies
Social Cognition focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in our social interactions. There has been increasing interest in the links between social cognition and brain function. While substantial research has indicated that abilities such as theory of mind, social perception, attributional style, and emotion perception are clearly related to social outcomes, research has been slowed by problems in the measurement of these abilities.
Physiological measurements have been taken for about 90 years to study social interactions. First, social psychophysiology and later also social neuroscience tried to identify the physiological basis of social constructs, processes and behavior. Nowadays, Physiological Computing has emerged as a category of technology where electrophysiological data recorded directly from the human activity are used to interface with a computing device. This technology becomes even more relevant when computing can be integrated pervasively into everyday life environments.
"Physiological Computing of Social Cognition" should be understood as the application of physiological computing to the evaluation and/or treatment of social cognition abilities. It comprises a set of theoretical interdisciplinary frameworks, methodologies, methods, and hardware/software tools to interpret/act on how the human physiology mediates social interactions.
This Research Topic will provide a means for researchers and academicians who have a current or developing interest in the area of evaluation of social cognitive deficits and/or training in social cognition (e.g. cognitive enhancement therapies, attributional style training, social cognition and interaction training, or training of affect recognition, among others). Papers with a special focus on multidisciplinary approaches and multimodality are especially welcome.
Topics of interest
Topic areas include (but are not restricted to):
● Socio-Cognitive Computing
● Affective Computing
● Social Interaction
● Virtual and Augmented Reality
● Emotional Robots
● Physiological Computing
● Brain-Computer Interfaces
● Biofeedback and Neurofeedback Systems
● Eye Movements, Gaze Monitoring and Eye Blink Activity
● Wearable Systems
● Applications and Case Studies