Building autonomous sensitive artificial listeners

Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark Ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn Schuller, Etienne De Sevin, Michel Valstar, Martin Wöllmer

Research output: Contribution to journalArticlepeer-review

147 Scopus citations

Abstract

This paper describes a substantial effort to build a real-time interactive multimodal dialogue system with a focus on emotional and nonverbal interaction capabilities. The work is motivated by the aim to provide technology with competences in perceiving and producing the emotional and nonverbal behaviors required to sustain a conversational dialogue. We present the Sensitive Artificial Listener (SAL) scenario as a setting which seems particularly suited for the study of emotional and nonverbal behavior since it requires only very limited verbal understanding on the part of the machine. This scenario allows us to concentrate on nonverbal capabilities without having to address at the same time the challenges of spoken language understanding, task modeling, etc. We first report on three prototype versions of the SAL scenario in which the behavior of the Sensitive Artificial Listener characters was determined by a human operator. These prototypes served the purpose of verifying the effectiveness of the SAL scenario and allowed us to collect data required for building system components for analyzing and synthesizing the respective behaviors. We then describe the fully autonomous integrated real-time system we created, which combines incremental analysis of user behavior, dialogue management, and synthesis of speaker and listener behavior of a SAL character displayed as a virtual agent. We discuss principles that should underlie the evaluation of SAL-type systems. Since the system is designed for modularity and reuse and since it is publicly available, the SAL system has potential as a joint research tool in the affective computing research community.

Original languageEnglish
Article number6042855
Pages (from-to)165-183
Number of pages19
JournalIEEE Transactions on Affective Computing
Volume3
Issue number2
DOIs
StatePublished - 2012

Keywords

  • Embodied conversational agents
  • Rapport agents
  • emotion recognition
  • emotion synthesis
  • listener behavior
  • real-time dialogue
  • turn-taking

Fingerprint

Dive into the research topics of 'Building autonomous sensitive artificial listeners'. Together they form a unique fingerprint.

Cite this