@inproceedings{perez-rosas-etal-2014-multimodal,
title = "A Multimodal Dataset for Deception Detection",
author = "P{\'e}rez-Rosas, Ver{\'o}nica and
Mihalcea, Rada and
Narvaez, Alexis and
Burzo, Mihai",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/869_Paper.pdf",
pages = "3118--3122",
abstract = "This paper presents the construction of a multimodal dataset for deception detection, including physiological, thermal, and visual responses of human subjects under three deceptive scenarios. We present the experimental protocol, as well as the data acquisition process. To evaluate the usefulness of the dataset for the task of deception detection, we present a statistical analysis of the physiological and thermal modalities associated with the deceptive and truthful conditions. Initial results show that physiological and thermal responses can differentiate between deceptive and truthful states.",
}
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%0 Conference Proceedings
%T A Multimodal Dataset for Deception Detection
%A Pérez-Rosas, Verónica
%A Mihalcea, Rada
%A Narvaez, Alexis
%A Burzo, Mihai
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F perez-rosas-etal-2014-multimodal
%X This paper presents the construction of a multimodal dataset for deception detection, including physiological, thermal, and visual responses of human subjects under three deceptive scenarios. We present the experimental protocol, as well as the data acquisition process. To evaluate the usefulness of the dataset for the task of deception detection, we present a statistical analysis of the physiological and thermal modalities associated with the deceptive and truthful conditions. Initial results show that physiological and thermal responses can differentiate between deceptive and truthful states.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/869_Paper.pdf
%P 3118-3122
Markdown (Informal)
[A Multimodal Dataset for Deception Detection](http://www.lrec-conf.org/proceedings/lrec2014/pdf/869_Paper.pdf) (Pérez-Rosas et al., LREC 2014)
ACL
- Verónica Pérez-Rosas, Rada Mihalcea, Alexis Narvaez, and Mihai Burzo. 2014. A Multimodal Dataset for Deception Detection. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3118–3122, Reykjavik, Iceland. European Language Resources Association (ELRA).