Abstract
This paper presents two examples of how nonverbal communication can be automatically detected and interpreted in terms of social phenomena. In particular, the presented approaches use simple prosodic features to distinguish between journalists and non-journalists in media, and extract social networks from turn-taking to recognize roles in different interaction settings (broadcast data and meetings). Furthermore, the article outlines some of the most interesting perspectives in this line of research.
Original language | Undefined |
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Title of host publication | Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues |
Editors | Anna Esposito, Antoinetta M. Esposito, Raffaele Martone, Vincent C. Müller, Gaetano Scarpetta |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 23-33 |
Number of pages | 11 |
ISBN (Print) | 978-3-642-18183-2 |
DOIs | |
Publication status | Published - 2011 |
Event | Third COST 2102 International Training School 2010 - Caserta, Italy Duration: 15 Mar 2010 → 19 Mar 2010 Conference number: 3 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Number | 6456 |
Volume | 6456 |
Conference
Conference | Third COST 2102 International Training School 2010 |
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Country/Territory | Italy |
City | Caserta |
Period | 15/03/10 → 19/03/10 |
Keywords
- METIS-277555
- Nonverbal Behavior
- Turn Taking
- Prosody
- EWI-19654
- IR-76057
- Social Signal Processing
- Personality
- Speaking Style
- Roles