Abstract
While detecting and interpreting temporal patterns of non–verbal behavioral cues in a given context is a natural and often unconscious process for humans, it remains a rather difficult task for computer systems. Nevertheless, it is an important one to achieve if the goal is to realise a naturalistic communication between humans and machines. Machines that are able to sense social attitudes like agreement and disagreement and respond to them in a meaningful way are likely to be welcomed by users due to the more natural, efficient and human–centered interaction they are bound to experience. This paper surveys the nonverbal cues that could be present during agreement and disagreement behavioural displays and lists a number of tools that could be useful in detecting them, as well as a few publicly available databases that could be used to train these tools for analysis of spontaneous, audiovisual instances of agreement and disagreement.
Original language | English |
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Title of host publication | Proceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 |
Place of Publication | Los Alamitos, NJ |
Publisher | IEEE Computer Society |
Pages | 1-9 |
Number of pages | 9 |
Volume | 2 |
ISBN (Print) | 978-1-4244-4799-2 |
DOIs | |
Publication status | Published - Sep 2009 |
Event | 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - Amsterdam, Netherlands Duration: 10 Sep 2009 → 12 Sep 2009 Conference number: 3 |
Conference
Conference | 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 |
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Abbreviated title | ACII |
Country | Netherlands |
City | Amsterdam |
Period | 10/09/09 → 12/09/09 |
Keywords
- METIS-264469
- IR-69693
- EWI-17180
- HMI-HF: Human Factors
- EC Grant Agreement nr.: FP7/211486
- HMI-MI: MULTIMODAL INTERACTIONS
- EC Grant Agreement nr.: FP7/231287