Emotional virtual crowd on task completion in virtual markets

Po Han Huang, Sai-Keung Wong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


This paper studies the effects of a virtual crowd with emotion on task completion in a virtual market. The users have to interact with the virtual agents so that the virtual agents are willing to lead the users to specific vendors. Then, the users can buy the required items. The users communicate with the virtual agents via a conversation dialog. The emotional agents' moods are affected by their own interaction (e.g., collision) while they are walking. Furthermore, their moods are also affected by the conversational responses of the users. We adopt a simple 2D mood model and use icons to represent the mood states of the agents. The mood model supports four mood states, which are “Excitement”, “Anger”, “Sadness”, and “Neutral”. We conducted a user study to evaluate the effects of the emotional virtual agents in different aspects, including task completion, time spent in conversation, following distance, and realism of the emotional virtual crowd.

Original languageEnglish
Article numbere1818
Pages (from-to)1-10
Number of pages10
JournalComputer Animation and Virtual Worlds
Issue number3-4
StatePublished - 1 May 2018


  • emotional crowd
  • interaction
  • mood modeling
  • task completion
  • virtual agents
  • virtual reality

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