Skip to main content

An Environment for Studying Visual Emotion Perception

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 615))

Abstract

Visual emotion perception is the ability of recognizing and identifying emotions through the visual interpretation of a situation or environment. In this paper we propose an innovative environment for supporting this type of studies, aimed at replacing current pencil-and-paper approaches. Besides automatizing the whole process, this environment provides new features that can enrich the study of emotion perception. These new features are especially interesting for the field of Human-Compute Interaction and Affective computing as they quantify the effects of experiencing different emotional dimensions on the individual’s interaction with the computer.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25(1), 49–59 (1994)

    Article  Google Scholar 

  2. Cambria, E.: Affective computing and sentiment analysis. IEEE Intell. Syst. 31(2), 102–107 (2016)

    Article  Google Scholar 

  3. Carneiro, D., Novais, P.: Quantifying the effects of external factors on individual performance. Future Gener. Comput. Syst. 66, 171–186 (2017)

    Article  Google Scholar 

  4. Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical report A-8 (2008)

    Google Scholar 

  5. Lewis, M.B.: Exploring the positive and negative implications of facial feedback. Emotion 12(4), 852 (2012)

    Article  Google Scholar 

  6. Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: International Conference on Hybrid Artificial Intelligence Systems, pp. 222–231. Springer (2013)

    Google Scholar 

  7. Pinheiro, A., Liu, T., Zhao, Z., Nestor, P.G., McCarley, R.W., Niznikiewicz, M.A.: Emotional cues during simultaneous face and voice processing: electrophysiological insights (2012)

    Google Scholar 

  8. Rodrigues, M., Gonçalves, S., Carneiro, D., Novais, P., Fdez-Riverola, F.: Keystrokes and clicks: measuring stress on e-learning students. In: Management Intelligent Systems, pp. 119–126. Springer (2013)

    Google Scholar 

  9. Shukla, P., Solanki, R.: Web based keystroke dynamics application for identifying emotional state 2, 4489–4493 (2011)

    Google Scholar 

  10. Tsui, W.H., Lee, P., Hsiao, T.C.: The effect of emotion on keystroke: an experimental study using facial feedback hypothesis. In: Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pp. 2870–2873. IEEE (2013)

    Google Scholar 

Download references

Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Davide Carneiro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Carneiro, D., Rocha, H., Novais, P. (2017). An Environment for Studying Visual Emotion Perception. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61118-1_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61117-4

  • Online ISBN: 978-3-319-61118-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics