Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3793
Título: Towards the detection of deception in interactive multimedia environments
Autor: Silva, Hugo Plácido da
Alves, Ana Priscila
Lourenço, André Ribeiro
Fred, Ana
Montalvão, Inês
Alegre, Leonel
Palavras-chave: Deception
Educational Module
Human-Computer Interaction
Data: 2013
Editora: Springer Berlin Heidelberg
Citação: SILVA, Hugo Plácido; ALVES, Ana Priscila; LOURENÇO, André; FRED, Ana; MONTALVÃO, Inês; ALEGRE, Leonel - Towards the Detection of Deception in Interactive Multimedia Environments. Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data. Vol. 7947 (2013), p. 65-76.
Resumo: A classical application of biosignal analysis has been the psychophysiological detection of deception, also known as the polygraph test, which is currently a part of standard practices of law enforcement agencies and several other institutions worldwide. Although its validity is far from gathering consensus, the underlying psychophysiological principles are still an interesting add-on for more informal applications. In this paper we present an experimental off-the-person hardware setup, propose a set of feature extraction criteria and provide a comparison of two classification approaches, targeting the detection of deception in the context of a role-playing interactive multimedia environment. Our work is primarily targeted at recreational use in the context of a science exhibition, where the main goal is to present basic concepts related with knowledge discovery, biosignal analysis and psychophysiology in an educational way, using techniques that are simple enough to be understood by children of different ages. Nonetheless, this setting will also allow us to build a significant data corpus, annotated with ground-truth information, and collected with non-intrusive sensors, enabling more advanced research on the topic. Experimental results have shown interesting findings and provided useful guidelines for future work. Pattern Recognition
Peer review: yes
URI: http://hdl.handle.net/10400.21/3793
DOI: 10.1007/978-3-642-39146-0_7
ISBN: 978-3-642-39145-3
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-642-39146-0_7
Aparece nas colecções:ISEL - Eng. Elect. Tel. Comp. - Artigos

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