Paper Info
Title
Moving as a Leader: Detecting Emergent Leadership in Small Groups using Body Pose.
Abstract
Detecting leadership while understanding the underlying behavior is an important research topic particularly for social and organizational psychology, and has started to get attention from social signal processing research community as well. It is known that, visual activity is a useful cue to investigate the social interactions, even though previously applied nonverbal features based on head/body actions were not performing well enough for identification of emergent leaders (ELs) in small group meetings. Starting from these premises, in this study, we propose an effective method that uses 2D body pose based nonverbal features to represent the visual activity of a person. Our results suggest that, i) overall, the proposed nonverbal features derived from body pose perform better than existing visual activity based features, ii) it is possible to improve classification results by applying unsupervised feature learning as a preprocessing step, and iii) the proposed nonverbal features are able to advance the EL identification performances of other types of nonverbal features when they are used together.
Year
DOI
Venue
2017
10.1145/3123266.3123404
MM '17: ACM Multimedia Conference Mountain View California USA October, 2017
Keywords
Field
DocType
Emergent leadership, body pose, visual activity, deep Boltzmann machines, social signal processing
Computer vision,Signal processing,Effective method,Computer science,Nonverbal communication,Preprocessor,Artificial intelligence,Industrial and organizational psychology,Machine learning,Feature learning
Conference
ISBN
Citations 
PageRank 
978-1-4503-4906-2
4
0.38
References 
Authors
17
3
Name
Order
Citations
PageRank
Cigdem Beyan18610.67
Vasiliki-Maria Katsageorgiou242.74
Vittorio Murino33277207.20