skip to main content
10.1145/2814464.2814470acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmidiConference Proceedingsconference-collections
research-article

Towards Emotion Acquisition in IT Usability Evaluation Context

Authors Info & Claims
Published:29 June 2015Publication History

ABSTRACT

The paper concerns extension of IT usability studies with automatic analysis of the emotional state of a user. Affect recognition methods and emotion representation models are reviewed and evaluated for applicability in usability testing procedures. Accuracy of emotion recognition, susceptibility to disturbances, independence on human will and interference with usability testing procedures are the criteria, that were identified and addressed in this paper. A study of a usability evaluation case was also performed to spot realistic challenges. As a result, a number of concerns were identified, providing a list of pros and cons for affect acquisition applied in usability testing context.

References

  1. Hyung Il Ahn, Rosalind Picard. 2014. Measuring Affective-Cognitive Experience and Predicting Market Success. Affective Computing, IEEE Transactions on, vol.5, no.2, pp.173, 186, April-June 1 2014.Google ScholarGoogle Scholar
  2. Bill Albert, Tom Tullis. 2013. Measuring the user experience: collecting, analyzing, and presenting usability metrics. Newnes. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris B. Mauss, James J. Gross, Maria E. Jabon, Cendri A.C. Hutcherson, Clifford Nass, Oliver John. 2008. Real-time classification of evoked emotions using facial feature tracking and physiological responses. International journal of human-computer studies, 66(5): 303--317. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Nigel Bevan. 2009. What is the difference between the purpose of usability and user experience evaluation methods. In Proceedings of the Workshop UXEM (Vol. 9).Google ScholarGoogle Scholar
  5. Haji Binali, Chen Wu, Vidyasagar Potdar. 2010. Computational approaches for emotion detection in text. 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST): 172--177.Google ScholarGoogle ScholarCross RefCross Ref
  6. Paul Ekman, Richard J. Davidson. 1999. The Nature of Emotion: Fundamental Questions, Oxford University Press, 1994Google ScholarGoogle Scholar
  7. Hatice Gunes, Björn Schuller. 2013. Categorical and dimensional affect analysis in continuous input: Current trends and future directions. Image and Vision Computing, 31(2): 120--136. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Hatice Gunes, Massimo Piccardi. 2005 Affect Recognition from Face and Body: Early Fusion vs. Late Fusion, IEEE International Conference on Systems, Man and Cybernetics, vol. 4: 3437--3443.Google ScholarGoogle ScholarCross RefCross Ref
  9. Dan Hill, 2010. Emotionomics: Leveraging Emotions for Business Success, Cogan Page, USA.Google ScholarGoogle Scholar
  10. ISO. 1998. Norm 9241: Ergonomics of human-system interaction.Google ScholarGoogle Scholar
  11. Rana El Kaliouby and Peter Robinson. 2004. Real-time inference of complex mental states from facial expressions and headgestures. In CVPRW. Proceedings of the Conference on Computer Vision and Pattern Recognition Workshop, vol. 10, IEEE Computer Society Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Agata Kołakowska, Agnieszka Landowska, Mariusz Szwoch, Wioleta Szwoch, Michal R Wrobel. 2013. Emotion recognition and its application in software engineering, Proc. of 6th International Conference on Human-System Interaction, Gdansk: 532--539.Google ScholarGoogle ScholarCross RefCross Ref
  13. Agata Kołakowska, Agnieszka Landowska, Mariusz Szwoch, Wioleta Szwoch, Michal R Wrobel. 2014. Emotion recognition and its applications, Human-Computer Systems Interaction: Backgrounds and Applications 3, Springer: 51--62.Google ScholarGoogle Scholar
  14. Agata Kołakowska. 2013. A review of emotion recognition methods based on keystroke dynamics and mouse movements. In: Proc 6th International Conference on Human Systems Interaction: 548--555.Google ScholarGoogle ScholarCross RefCross Ref
  15. Agnieszka Landowska. 2014. Emotion monitoring - verification of physiological characteristics measurement procedures, Metrology and Measurement Systems Journal, Vol XXI, No. 4: 719--732.Google ScholarGoogle ScholarCross RefCross Ref
  16. Agnieszka Landowska, Michal R Wrobel. 2015. Affective reactions to playing digital games, 8th Int. Conf. on Human-Systems Interaction (unpublished).Google ScholarGoogle ScholarCross RefCross Ref
  17. Agnieszka Landowska. 2013. Affective computing and affective learning -- methods, tools and prospects, EduAction. Electronic education magazine, 1(5): 16--31.Google ScholarGoogle Scholar
  18. Philip Lew, Luis Olsina, Pablo Becker, Li Zhang. 2012. An integrated strategy to systematically understand and manage quality in use for web applications. Requirements Engineering, 17(4): 299--330. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Albert Mehrabian. 1997. Comparison of the PAD and PANAS as models for describing emotions and for differentiating anxiety from depression. Journal of psychopathology and behavioral assessment, 19(4): 331--357.Google ScholarGoogle ScholarCross RefCross Ref
  20. Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka. 2009. Compositionality principle in recognition of finegrained emotions from text. Proceedings of the Third International Conference on Weblogs and Social Media: 278--281.Google ScholarGoogle Scholar
  21. Jakob Nielsen, 1993. Usability Engineering, Academic Press/AP Professional, Cambridge, MA ISBN 0-12-518406-9 Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Maja Pantic, Leon J. M. Rothkrantz, 2000. Automatic Analysis of Facial Expressions: The State of the Art, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.22 n.12: 1424-1445. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Maja Pantic, Leon J. M. Rothkrantz. 2003. Toward an affect-sensitive multimodal human-computer interaction," Proceedings of the IEEE, vol.91, no.9: 1370--1390.Google ScholarGoogle ScholarCross RefCross Ref
  24. Rosalind Picard, Shaundra Bryant Daily. 2005. Evaluating affective interactions: Alternatives to asking what users feel. CHI Workshop on Evaluating Affective Interfaces: Innovative ApproachesGoogle ScholarGoogle Scholar
  25. Jianhua Tao, Tieniu Tan. 2005. Affective computing: A review. In Affective computing and intelligent interaction. Springer Berlin Heidelberg: 981--995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Robert E. Thayer. 1989. The biopsychology of mood and arousal: Oxford University Press.Google ScholarGoogle Scholar
  27. Arnold P. O. S. Vermeeren, Effie Lai-Chong, Virpi Roto, Marianna Obrist, Jettie Hoonhout, Kaisa Väänänen-Vainio-Mattila. 2010. User experience evaluation methods: current state and development needs. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries, ACM: 521--530. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Lisa M. Vizer, Lina Zhou, Andrew Sears. 2009. Automated stress detection using keystroke and linguistic features, Int. Journal of Human-Computer Studies 67: 870--886. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun. 2006. 3D facial expression recognition based on primitive surface feature distribution, Computer Vision and Pattern Recognition, vol. 2: 1399--1406. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Cynthia Whissell. 2009. Using the revised Dictionary of Affect in Language to quantify the emotional undertones of samples of natural language. Psychological Reports, 105: 1--13.Google ScholarGoogle ScholarCross RefCross Ref
  31. Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thomas S. Huang. 2009. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1): 39--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Philippe Zimmermann, Patrick Gomez, Brigitta Danuser, Sissel Guttormsen Schär. 2006. Extending usability: putting affect into the user-experience. Proceedings of NordiCHI'06: 27--32.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    MIDI '15: Proceedings of the Mulitimedia, Interaction, Design and Innnovation
    June 2015
    165 pages
    ISBN:9781450336017
    DOI:10.1145/2814464

    Copyright © 2015 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 29 June 2015

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    MIDI '15 Paper Acceptance Rate18of29submissions,62%Overall Acceptance Rate35of62submissions,56%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader