CUED Publications database

Automatic recognition of personality traits: A multimodal approach

Sidorov, M and Ultes, S and Schmitt, A (2014) Automatic recognition of personality traits: A multimodal approach. In: UNSPECIFIED pp. 11-15..

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© 2014 ACM. 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 agents in call-centers. Therefore, the First Audio/Visual Mapping Personality Traits Challenge (MAPTRAITS 2014) focuses on estimating personality traits. In this context, this study presents the results for multimodal recognition of personality traits using support vector machines. As only small portions of the data is used for personality estimation at a time (which are later combined to a final estimate), different segmentation methods (and how to derive a final hypothesis) are analyzed regarding the task as both a regression and a classification problem.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:05
Last Modified: 31 May 2018 02:06