Understanding the influence of social interactions on individual's behavior pattern in a work environment

Chih-Wei Chen, Asier Aztiria, Soumaya Ben Allouch, Hamid Aghajan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Abstract

In this work, we study social interactions in a work environment and investigate how the presence of other people changes personal behavior patterns. We design the visual processing algorithms to track multiple people in the environment and detect dyadic interactions using a discriminative classifier. The locations of the users are associated with semantic tasks based on the functions of the areas. Our learning method then deduces patterns from the trajectories of people and their interactions. We propose an algorithm to compare the patterns of a user in the presence and absence of social interactions. We evaluate our method on a video dataset collected in a real office. By detecting interactions, we gain insights in not only how often people interact, but also in how these interactions affect the usual routines of the users.
Original languageEnglish
Title of host publicationHuman behavior understanding: Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011
EditorsAlbert Ali Salah, Bruno Lepri
Place of PublicationBerlin, Germany
PublisherSpringer
Pages146-157
Number of pages12
ISBN (Print)978-3-642-25445-1
DOIs
Publication statusPublished - 26 Jul 2011

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume7065
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • METIS-281771
  • IR-94567

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    Chen, C-W., Aztiria, A., Ben Allouch, S., & Aghajan, H. (2011). Understanding the influence of social interactions on individual's behavior pattern in a work environment. In A. A. Salah, & B. Lepri (Eds.), Human behavior understanding: Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011 (pp. 146-157). (Lecture notes in computer science; Vol. 7065). Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-25446-8_16