Paper Info
Title
Understanding the influence of social interactions on individual's behavior pattern in a work environment
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.
Year
DOI
Venue
2011
10.1007/978-3-642-25446-8_16
HBU
Keywords
Field
DocType
people changes personal behavior,work environment,multiple people,real office,dyadic interaction,people interact,semantic task,discriminative classifier,behavior pattern,usual routine,social interaction,behavioral patterns
Social relation,Work environment,Behavioral pattern,Visual processing,Computer science,Human–computer interaction,Classifier (linguistics),Discriminative model
Conference
Citations 
PageRank 
References 
5
0.44
8
Authors
4
Name
Order
Citations
PageRank
Chih-Wei Chen136415.86
Asier Aztiria218113.88
Somaya Ben Allouch316616.37
Hamid Aghajan438028.00