Automatic Emotional Reactions Identification: A Software Tool for Offline User Experience Research

  • Pedro A. Nogueira
  • Vasco Torres
  • Rui Rodrigues
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8215)


Current affective response studies lack dedicated data analysis procedures and tools for automatically annotating and triangulating emotional reactions to game-related events. The development of such a tool would potentially allow for both a deeper and more objective analysis of the emotional impact of digital media stimuli on players, as well as towards the rapid implementation of this type of studies. In this paper we describe the development of such a tool that enables researchers to conduct objective a posteriori analyses, without disturbing the gameplay experience, while also automating the annotation and emotional response identification process. The tool was designed in a data-independent fashion and allows the identified responses to be exported for further analysis in third-party statistical software applications.


Player modelling digital media emotional reaction identification 


  1. 1.
    Matias Kivikangas, J., Nacke, L., Ravaja, N.: Developing a triangulation system for digital game events, observational video, and psychophysiological data to study emotional responses to a virtual character. Entertainment Computing 2, 11–16 (2011)CrossRefGoogle Scholar
  2. 2.
    Mirza-babaei, P., Nacke, L.E., Fitzpatrick, G., White, G., Mcallister, G., Collins, N.: Biometric Storyboards: Visualising Game User Research Data. In: CHI 2012 Extended Abstracts on Human Factors in Computing Systems, pp. 2315–2320 (2012)Google Scholar
  3. 3.
    Nogueira, P.A., Rodrigues, R., Oliveira, E.: Real-Time Psychophysiological Emotional State Estimation in Digital Gameplay Scenarios. In: 14th Conference on Engineering Applications of Neural Networks (EANN) (to appear)Google Scholar
  4. 4.
    Russel, J.A.: A Circumplex Model of Affect. Journal of Personality and Social Psychology 39, 1161–1178 (1980)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Pedro A. Nogueira
    • 1
  • Vasco Torres
    • 2
  • Rui Rodrigues
    • 2
  1. 1.LIACC – Artificial Intelligence and Computer Science Lab.University of PortoPortugal
  2. 2.INESC TEC and Faculty of EngineeringUniversity of PortoPortugal

Personalised recommendations