Design requirements for technologies that encourage physical activity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Descriptive analysis of physical activity conversations on Twitter
CHI '11 Extended Abstracts on Human Factors in Computing Systems
The spread of emotion via facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An ambient agent model for monitoring and analysing dynamics of complex human behaviour
Journal of Ambient Intelligence and Smart Environments
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
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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.