Skip to main content
SpringerLink
Log in

A Generic Effort-Based Behavior Description for User Engagement Analysis

  • Conference paper
  • First Online:
Physiological Computing Systems (PhyCS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8908))

Included in the following conference series:

  • 543 Accesses

Abstract

Human interaction is to a large extent based on implicit, unconscious behavior and the related body language. In this article, we propose ‘Directed Effort’ a generic description of human behavior suitable as user engagement and interest input for higher level human-computer interaction applications. Research from behavioral and psychological sciences is consulted for the creation of an attention model which is designed to represent the engagement of people towards generic objects in public spaces. The functionality of this behavior analysis approach is demonstrated in a prototypical implementation to present the potential of the presented meta-level description of behavior.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
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

Institutional subscriptions

References

  1. Bitgood, S.: Not another step! economy of movement and pedestrian choice point behavior in shopping malls. Environ. Behav. 38(3), 394–405 (2006). http://eab.sagepub.com/cgi/doi/10.1177/0013916505280081

    Article  Google Scholar 

  2. Blank, M., Gorelick, L., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. In: 2005 Tenth IEEE International Conference on Computer Vision, ICCV 2005, vol. 2, pp. 1395–1402 (2005)

    Google Scholar 

  3. Bobick, A., Davis, J.: The recognition of human movement using temporal templates. IEEE Trans. Pattern Analy. Mach. Intell. 23(3), 257–267 (2001)

    Article  Google Scholar 

  4. Bongers, K.C., Dijksterhuis, A., Spears, R.: Self-esteem regulation after success and failure to attain unconsciously activated goals. J. Exp. Soc. Psychol. 45(3), 468–477 (2009). http://www.sciencedirect.com/science/article/pii/S0022103109000031

    Article  Google Scholar 

  5. Candamo, J., Shreve, M., Goldgof, D., Sapper, D., Kasturi, R.: Understanding transit scenes: a survey on human behavior-recognition algorithms. IEEE Trans. Intell. Transp. Syst. 11(1), 206–224 (2010)

    Article  Google Scholar 

  6. Cooper, J.O., Heron, T.E., Heward, W.L.: Applied Behavior Analysis, 2nd edn. Pearson/Merrill-Prentice Hall, Upper Saddle River (2007)

    Google Scholar 

  7. Dijksterhuis, A., Aarts, H.: Goals, attention, and (un)consciousness. Ann. Rev. Psychol. 61(1), 467–490 (2010). http://dx.doi.org/10.1146/annurev.psych.093008.100445

    Article  Google Scholar 

  8. Guevara, J.E., Umemuro, H.: Unobtrusive estimation of psychological states based on human movement observation. e-Minds 2(6), 39–60 (2010)

    Google Scholar 

  9. Hietanen, J.: Social attention orienting integrates visual information from head and body orientation. Psychol. Res. 66(3), 174–179 (2002)

    Article  Google Scholar 

  10. Hoffman, J.E., Subramaniam, B.: The role of visual attention in saccadic eye movements. Percept. Psychophys. 57(6), 787–795 (1995)

    Article  Google Scholar 

  11. Hunt, A.R., Kingstone, A.: Covert and overt voluntary attention: linked or independent? Brain research. Cogn. Brain Res. 18(1), 102–105 (2003)

    Article  Google Scholar 

  12. Ji, X., Liu, H.: Advances in view-invariant human motion analysis: a review. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 40(1), 13–24 (2010)

    Google Scholar 

  13. Kahneman, D.: Attention and Effort. Prentice-Hall, Englewood Cliffs (1973)

    Google Scholar 

  14. Knudsen, E.I.: Fundamental components of attention. Ann. Rev. Neurosci. 30(1), 57–78 (2007). http://www.ncbi.nlm.nih.gov/pubmed/17417935

    Article  MathSciNet  Google Scholar 

  15. Moore, T., Fallah, M.: Control of eye movements and spatial attention. Proc. Natl. Acad. Sci. U.S.A 98(3), 1273–1276 (2001)

    Article  Google Scholar 

  16. Müller, H.J., Rabbitt, P.M.: Reflexive and voluntary orienting of visual attention: time course of activation and resistance to interruption. J. Exp. Psychol. Hum. Percept. Performance 15(2), 315–330 (1989)

    Article  Google Scholar 

  17. Perry, R.J.: The neurology of saccades and covert shifts in spatial attention: an event-related fMRI study. Brain 123(11), 2273–2288 (2000)

    Article  Google Scholar 

  18. Peursum, P., Venkatesh, S., West, G.: Tracking-as-recognition for articulated full-body human motion analysis. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, CVPR ’07, pp. 1–8 (2007)

    Google Scholar 

  19. Posner, M.I.: Orienting of attention. Q. J. Exp. Psychol. 32(1), 3–25 (1980)

    Article  MathSciNet  Google Scholar 

  20. Rizzolatti, G., Riggio, L., Dascola, I., Umiltá, C.: Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia 25(1A), 31–40 (1987)

    Article  Google Scholar 

  21. Shi, Y., Bobick, A., Essa, I.: Learning temporal sequence model from partially labeled data. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1631–1638 (2006)

    Google Scholar 

  22. Smith, K.C., Ba, S.O., Odobez, J.M., Gatica-Perez, D.: Tracking attention for multiple people: wandering visual focus of attention estimation. Idiap-RR Idiap-RR-40-2006, IDIAP (2006, submitted for publication)

    Google Scholar 

  23. Wickens, C.D., McCarley, J.S.: Applied Attention Theory. CRC Press, Boca Raton (2008). http://www.worldcat.org/oclc/156994621

    Google Scholar 

  24. Yakiyama, Y., Thepvilojanapong, N., Iwai, M., Mihirogi, O., Umeda, K., Tobe, Y.: Observing real-world attention by a laser scanner. IPSJ Online Trans. 2, 93–106 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Pervasive Computing Applications, Research Studios Austria, Thurngasse 8/20, 1080, Vienna, Austria

    Benedikt Gollan

  2. Institute for Pervasive Computing, Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria

    Alois Ferscha

Authors
  1. Benedikt Gollan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alois Ferscha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Benedikt Gollan .

Editor information

Editors and Affiliations

  1. IT - Instituto de Telecomunicações, Lisbon, Portugal

    Hugo Plácido da Silva

  2. Medical University Graz, Graz, Austria

    Andreas Holzinger

  3. Liverpool John Moores, Liverpool, Merseyside, United Kingdom

    Stephen Fairclough

  4. ETH Zurich, Zurich, Switzerland

    Dennis Majoe

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gollan, B., Ferscha, A. (2014). A Generic Effort-Based Behavior Description for User Engagement Analysis. In: da Silva, H., Holzinger, A., Fairclough, S., Majoe, D. (eds) Physiological Computing Systems. PhyCS 2014. Lecture Notes in Computer Science(), vol 8908. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45686-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45686-6_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45685-9

  • Online ISBN: 978-3-662-45686-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation