Acoustic emotion recognition for affective computer gaming

Christian Jones, Jamie Sutherland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Computer games are becoming visually realistic, and coupled with more violent storylines and characters there is concern among parents and parts of the media that violent games could encourage aggressive behaviour in those who play them. There have been links made between a number of murders and the violent games played by the murderers. To stimulate other emotions in game players we have developed an emotionally responsive computer game. Based on a traditionally aggressive role-playing environment, we have removed the violent elements and replaced with a goal to navigate obstacles using both positive and negative emotions. Affective cues in the speech of the player are analysed automatically using an emotion recognition system and these affect the physical and behavioural attributes of the gaming character. The character is better able to overcome obstacles based on the emotional state of the player. © 2008 Springer-Verlag Berlin Heidelberg.

Original languageEnglish
Title of host publicationAffect and Emotion in Human-Computer Interaction - From Theory to Applications
Pages209-219
Number of pages11
Volume4868 LNCS
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4868 LNCS
ISSN (Print)0302-9743

Keywords

  • Affective computing
  • Computer games
  • Emotion recognition

Fingerprint Dive into the research topics of 'Acoustic emotion recognition for affective computer gaming'. Together they form a unique fingerprint.

  • Cite this

    Jones, C., & Sutherland, J. (2008). Acoustic emotion recognition for affective computer gaming. In Affect and Emotion in Human-Computer Interaction - From Theory to Applications (Vol. 4868 LNCS, pp. 209-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4868 LNCS). https://doi.org/10.1007/978-3-540-85099-1_18