Honest signals and their contribution to the automatic analysis of personality traits: a comparative study

Authors:
Bruno Lepri;Kyriaki Kalimeri;Fabio Pianesi
Affiliations:
FBK-irst, Povo, Italy;FBK-irst, Povo, Italy;FBK-irst, Povo, Italy
Venue:
HBU'10 Proceedings of the First international conference on Human behavior understanding
Year:
2010

Citing 11
Cited 1

An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
Towards Automatic Body Language Annotation

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
A Computational Model of Social Signalin

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Whose thumb is it anyway?: classifying author personality from weblog text

COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Multimodal corpus of multi-party meetings for automatic social behavior analysis and personality traits detection

Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information
Honest Signals: How They Shape Our World

Honest Signals: How They Shape Our World
Multimodal recognition of personality traits in social interactions

ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Modeling the Personality of Participants During Group Interactions

UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Automatic recognition of personality in conversation

NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Using linguistic cues for the automatic recognition of personality in conversation and text

Journal of Artificial Intelligence Research
Sensible organizations: technology and methodology for automatically measuring organizational behavior

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing

Challenges of human behavior understanding

HBU'10 Proceedings of the First international conference on Human behavior understanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

In our paper we focus on the usage of different kind of "honest" signals for the automatic prediction of two personality traits, Extraversion and Locus of Control. In particular, we investigate the predictive power of four classes of speech honest signal features (Conversational Activity, Emphasis, Influence, and Mimicry), along with three fidgeting visual features by systematically comparing the results obtained by classifiers using them.