Abstract
Social emotions are emotion that can be induced from human social relationships when people are interacting with others. In this study, we are aim to analyze a brain function connectivityin terms of different relations of social emotions. The brain function connectivity can be used to observe the neural responses with features of EEG coherences during a cognitive process.In this study, the EEG coherence is measured according to different social emotion evocations. The auditory and visual stimulus for inducing social emotions was presented to participants during 20.5 sec (±3.1 sec). The participants were asked to imagine and explain about similar emotion experience after watching each video clips. The measured EEG coherencewas grouped into two different social emotion categories;the information sharing relation and emotion sharing relation, and compared with the results of subjective evaluation and independent T-test.The information sharing relation was related with the brain connectivity oftherighttemporo-occipitalposition associated with a language memory. The emotion sharing relation was related with the brain connectivity of the left fronto-right parietal position associated with a visual information processing area.
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Kim, J., Kim, D., Ann, S., Park, S., Whang, M. (2013). Brain Function Connectivity Analysis for Recognizing Different Relation of Social Emotion in Virtual Reality. In: Kurosu, M. (eds) Human-Computer Interaction. Towards Intelligent and Implicit Interaction. HCI 2013. Lecture Notes in Computer Science, vol 8008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39342-6_48
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DOI: https://doi.org/10.1007/978-3-642-39342-6_48
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