Paper Info
Title
A Multimodal Motion-Captured Corpus of Matched and Mismatched Extravert-Introvert Conversational Pairs.
Abstract
This paper presents a new corpus, the Personality Dyads Corpus, consisting of multimodal data for three conversations between three personality-matched, two-person dyads (a total of 9 separate dialogues). Participants were selected from a larger sample to be 0.8 of a standard deviation above or below the mean on the Big-Five Personality extraversion scale, to produce an Extravert-Extravert dyad, an Introvert-Introvert dyad, and an Extravert-Introvert dyad. Each pair carried out conversations for three different tasks. The conversations were recorded using optical motion capture for the body and data gloves for the hands. Dyads' speech was transcribed and the gestural and postural behavior was annotated with ANVIL. The released corpus includes personality profiles, ANVIL files containing speech transcriptions and the gestural annotations, and BVH files containing body and hand motion in 3D. The corpus should be a useful resource for researchers working on generating human-like and adaptive multimodal behaviors in intelligent virtual agents.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
spontaneous communication,gesture production,personality,motion capture,data gloves,entrainment,nonverbal behavior generation
Field
DocType
Citations 
Extraversion and introversion,Computer science,Speech recognition,Natural language processing,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
jackson tolins1163.42
Kris Liu2162.74
Yingying Wang3333.90
Jean E. Fox Tree419814.77
Marilyn A Walker53893418.91
Michael Neff661954.00