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Social Cognition, Motivation, and Interaction How Do People Respond to Threats in Social Interactions?

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453740 Year: Pages: 227 DOI: 10.3389/978-2-88945-374-0 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Psychology
Added to DOAB on : 2018-11-16 17:17:57
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f we want to understand people’s responses to threats in social interactions we can distinguish between three levels of analysis:On a social level of analysis we can describe people’s interpersonal behavior, on a cognitive level we can identify corresponding information processing mechanisms, and on a neural level we can specify neural systems, which underlie these processes.In this Research Topic we want to present research connecting these three levels of analysis and propose their functional interconnection in social interaction.We propose that threats in social interactions activate basic motivational processes, which manifest in neural processes related to behavioral inhibition vs. activation in a social situation. This shapes our attention to new information, and affects our cognitions about social identities, belief systems and worldviews. These changes in social cognition in turn affect people’s behavior in social interactions and lead to corresponding reactions on behalf of the interaction partner. Thus, we assume that people’s reactions to threat in interactions can be described as sequences of broader attentional processes resulting from basic motivational tendencies leading to specific social cognitions and subsequent behavior within social interactions. We can analyze this sequence in order to contribute to a better understanding of social interactions.The three levels of analyses (social, cognitive, neural) shed light on social interactions from different angles:On the social level we can analyze how the behaviors of the interaction partners mutually affect each other and how this is accompanied by specific cognitive, emotional and motivational processes. On the cognitive level we can analyze people’s perception of a social situation leading to attentional and reasoning processes with regard to their interaction partner/s, which may be accompanied by certain emotional and motivational processes and determines the behavior towards the partner/s. Finally, we can focus on the neural mechanisms underlying cognitive, emotional, and motivational processes in social interactions.

Using neurophysiological signals that reflect cognitive or affective state

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889196135 Year: Pages: 314 DOI: 10.3389/978-2-88919-613-5 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Neurology
Added to DOAB on : 2016-08-16 10:34:25
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What can we learn from spontaneously occurring brain and other physiological signals about an individual’s cognitive and affective state and how can we make use of this information? One line of research that is actively involved with this question is Passive Brain-Computer-Interfaces (BCI). To date most BCIs are aimed at assisting patients for whom brain signals could form an alternative output channel as opposed to more common human output channels, like speech and moving the hands. However, brain signals (possibly in combination with other physiological signals) also form an output channel above and beyond the more usual ones: they can potentially provide continuous, online information about an individual’s cognitive and affective state without the need of conscious or effortful communication. The provided information could be used in a number of ways. Examples include monitoring cognitive workload through EEG and skin conductance for adaptive automation or using ERPs in response to errors to correct for a behavioral response. While Passive BCIs make use of online (neuro)physiological responses and close the interaction cycle between a user and a computer system, (neuro)physiological responses can also be used in an offline fashion. Examples of this include detecting amygdala responses for neuromarketing, and measuring EEG and pupil dilation as indicators of mental effort for optimizing information systems. The described field of applied (neuro)physiology can strongly benefit from high quality scientific studies that control for confounding factors and use proper comparison conditions. Another area of relevance is ethics, ranging from dubious product claims, acceptance of the technology by the general public, privacy of users, to possible effects that these kinds of applications may have on society as a whole. In this Research Topic we aimed to publish studies of the highest scientific quality that are directed towards applications that utilize spontaneously, effortlessly generated neurophysiological signals (brain and/or other physiological signals) reflecting cognitive or affective state. We especially welcomed studies that describe specific real world applications demonstrating a significant benefit compared to standard applications. We also invited original, new kinds of (proposed) applications in this area as well as comprehensive review articles that point out what is and what is not possible (according to scientific standards) in this field. Finally, we welcomed manuscripts on the ethical issues that are involved. Connected to the Research Topic was a workshop (held on June 6, during the Fifth International Brain-Computer Interface Meeting, June 3-7, 2013, Asilomar, California) that brought together a diverse group of people who were working in this field. We discussed the state of the art and formulated major challenges, as reflected in the first paper of the Research Topic.

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