Repository logo
 
Publication

Towards the detection of deception in interactive multimedia environments

dc.contributor.authorSilva, Hugo Plácido da
dc.contributor.authorAlves, Ana Priscila
dc.contributor.authorLourenço, André
dc.contributor.authorFred, Ana
dc.contributor.authorMontalvão, Inês
dc.contributor.authorAlegre, Leonel
dc.date.accessioned2014-09-12T13:37:35Z
dc.date.available2014-09-12T13:37:35Z
dc.date.issued2013
dc.description.abstractA 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 Recognitionpor
dc.identifier.citationSILVA, 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.por
dc.identifier.doi10.1007/978-3-642-39146-0_7
dc.identifier.isbn978-3-642-39145-3
dc.identifier.isbn978-3-642-39146-0
dc.identifier.urihttp://hdl.handle.net/10400.21/3793
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer Berlin Heidelbergpor
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-642-39146-0_7por
dc.subjectDeceptionpor
dc.subjectEducational Modulepor
dc.subjectHuman-Computer Interactionpor
dc.subjectBiosignalspor
dc.titleTowards the detection of deception in interactive multimedia environmentspor
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceMariborpor
oaire.citation.endPage76por
oaire.citation.startPage65por
oaire.citation.titleHuman-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data - Proceedings of Third International Workshop, HCI-KDD 2013por
oaire.citation.volume7947por
person.familyNameLourenço
person.givenNameAndré
person.identifier.orcid0000-0001-8935-9578
rcaap.rightsrestrictedAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublicationcbc6b0dc-187b-4f88-a8b3-52b4721df057
relation.isAuthorOfPublication.latestForDiscoverycbc6b0dc-187b-4f88-a8b3-52b4721df057

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: