Social gaze model for an interactive virtual character

Bram van den Brink, Christyowidiasmoro, Zerrin Yumak*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


This paper describes a live demo of our autonomous social gaze model for an interactive virtual character situated in the real world. We are interested in estimating which user has an intention to interact, in other words which user is engaged with the virtual character. The model takes into account behavioral cues such as proximity, velocity, posture and sound, estimates an engagement score and drives the gaze behavior of the virtual character. Initially, we assign equal weights to these features. Using data collected in a real setting, we analyze which features have higher importance. We found that the model with weighted features correlates better with the ground-truth data.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents - 17th International Conference, IVA 2017, Proceedings
EditorsCarol O'Sullivan, Ginevra Castellano, Stefan Kopp, Jonas Beskow, Christopher Peters, Iolanda Leite
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783319674001
Publication statusPublished - 2017
Externally publishedYes
Event17th International Conference on Intelligent Virtual Agents, IVA 2017 - Stockholm, Sweden
Duration: 27 Aug 201730 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10498 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Intelligent Virtual Agents, IVA 2017


  • Engagement
  • Gaze model
  • Situated interaction


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