MAPTRAITS 2014 is the First Audio/Visual Mapping Personality Traits Challenge and Workshop. It is therefore the first of an expected series of competitions that aim at advancing the state of the art in automatic analysis of personality traits and social dimensions by providing a benchmarking protocol that enables evaluation from multiple perspectives, and encouraging the participation of diverse research groups from different disciplines, in particular the audio and video analysis communities and those in the social sciences who study personality, traits, expressive and nonverbal behaviour.
We thank the participants and the authors for their contributions and the program committee for their prompt action in reviewing papers and providing feedback. Finally, we thank the Engineering and Physical Sciences Research Council UK (EPSRC) that partially supported the event through the MAPTRAITS Project.
The Audio/Visual Mapping Personality Traits Challenge and Workshop Series aims to give researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of analysis/synthesis of personality traits and social dimensions. Our hope is that this first challenge and workshop created the basis for the coming series of competitions and therefore will encourage an increased number of participation in the coming years to share novel solutions that fulfill the needs of everyday applications and environments and identify new directions for future research and development.
Proceeding Downloads
Personality Computing: How Machines Can Deal With Personality Traits
Personality is a psychological construct aimed at explaining the wide variety of human behaviours in terms of a few, stable and measurable individual characteristics. In this respect, any technology involving understanding, prediction and synthesis of ...
MAPTRAITS 2014: The First Audio/Visual Mapping Personality Traits Challenge
The Audio/Visual Mapping Personality Challenge and Workshop (MAPTRAITS) is a competition event aimed at the comparison of signal processing and machine learning methods for automatic visual, vocal and/or audio-visual analysis of personality traits and ...
Automatic Recognition of Personality Traits: A Multimodal Approach
A system being capable of recognize personality traits may be utilized in an enormous number of applications. Adding personality-dependency may be useful to build speaker-adaptive models, e.g., to improve Spoken Dialogue Systems (SDSs) or to monitor ...
Continuous Mapping of Personality Traits: A Novel Challenge and Failure Conditions
This paper presents our contribution to ACM ICMI 2014 Mapping Personality Traits Challenge and Workshop. The proposed system utilizes Extreme Learning Machines (ELM) and Canonical Correlation Analysis (CCA) for modeling acoustic features. The ELM ...
Acoustic Gait-based Person Identification using Hidden Markov Models
We present a system for identifying humans by their walking sounds. This problem is also known as acoustic gait recognition. The goal of the system is to analyse sounds emitted by walking persons (mostly the step sounds) and identify those persons. ...