Abstract
Using recent insights from Cognitive, Affective and Social Neuroscience, this paper addresses how affective states in social interactions can be used through social media to analyze and support lifestyle behaviour. A computational model is provided that integrates both mechanisms for the impact of one’s emotions on behaviour, and for the impact of emotions of others on one’s own emotion. The model is used to assess the state of a user with regard to a lifestyle goal (such as exercising frequently), based on extracted information of emotions exchanged in social interaction. Support is provided by proposing ways to affect these social interactions, which will indirectly influence the impact of the emotions of others. An ambient intelligent system based on this model has been implemented for the social medium Twitter.
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van Breda, W., Treur, J., van Wissen, A. (2012). Analysis and Support of Lifestyle via Emotions Using Social Media. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds) Social Informatics. SocInfo 2012. Lecture Notes in Computer Science, vol 7710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35386-4_21
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DOI: https://doi.org/10.1007/978-3-642-35386-4_21
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