Analysis and Support of Lifestyle via Emotions Using Social Media

Ward van Breda, Jan Treur, Arlette van Wissen

Research output: Contribution to JournalArticleAcademicpeer-review

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 behaviour for a certain lifestyle. A computational model is provided integrating 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 reason about and assess the state of a user with regard to a lifestyle goal (such as exercising frequently), based on extracted information about emotions exchanged in social interaction. Support is provided by proposing ways to affecting these social interactions, thereby indirectly influencing the impact of the emotions of others. An ambient intelligent system incorporating this has been implemented for the social medium Twitter.

Analysis and Support of Lifestyle via Emotions Using Social Media. Available from: https://www.researchgate.net/publication/230859522_Analysis_and_Support_of_Lifestyle_via_Emotions_Using_Social_Media [accessed Apr 25, 2017].
Original languageEnglish
Pages (from-to)275-291
JournalLecture Notes in Computer Science
Volume7710
DOIs
Publication statusPublished - Dec 2012
Event4th International Conference on Social Informatics -
Duration: 1 Jan 20121 Jan 2012

Fingerprint

Social Media
Intelligent systems
Social Interaction
Neuroscience
Intelligent Systems
Emotion
Computational Model

Bibliographical note

Proceedings title: Proceedings of the 4th International Conference on Social Informatics
Publisher: Springer Verlag

Keywords

  • Social Media
  • Emotion
  • Lifestyle support
  • Ambient intelligence

Cite this

@article{239586b4109a436fa1de66159a03dba1,
title = "Analysis and Support of Lifestyle via Emotions Using Social Media",
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 behaviour for a certain lifestyle. A computational model is provided integrating 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 reason about and assess the state of a user with regard to a lifestyle goal (such as exercising frequently), based on extracted information about emotions exchanged in social interaction. Support is provided by proposing ways to affecting these social interactions, thereby indirectly influencing the impact of the emotions of others. An ambient intelligent system incorporating this has been implemented for the social medium Twitter. Analysis and Support of Lifestyle via Emotions Using Social Media. Available from: https://www.researchgate.net/publication/230859522_Analysis_and_Support_of_Lifestyle_via_Emotions_Using_Social_Media [accessed Apr 25, 2017].",
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Analysis and Support of Lifestyle via Emotions Using Social Media. / van Breda, Ward; Treur, Jan; van Wissen, Arlette.

In: Lecture Notes in Computer Science, Vol. 7710, 12.2012, p. 275-291.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Analysis and Support of Lifestyle via Emotions Using Social Media

AU - van Breda, Ward

AU - Treur, Jan

AU - van Wissen, Arlette

N1 - Proceedings title: Proceedings of the 4th International Conference on Social Informatics Publisher: Springer Verlag

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AB - 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 behaviour for a certain lifestyle. A computational model is provided integrating 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 reason about and assess the state of a user with regard to a lifestyle goal (such as exercising frequently), based on extracted information about emotions exchanged in social interaction. Support is provided by proposing ways to affecting these social interactions, thereby indirectly influencing the impact of the emotions of others. An ambient intelligent system incorporating this has been implemented for the social medium Twitter. Analysis and Support of Lifestyle via Emotions Using Social Media. Available from: https://www.researchgate.net/publication/230859522_Analysis_and_Support_of_Lifestyle_via_Emotions_Using_Social_Media [accessed Apr 25, 2017].

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