Advertisement

Measuring Usability: Use HMM Emotion Method and Parameter Optimize

  • Lai Xiangwei
  • Bai Yun
  • Qiu Yuhui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

Usability evaluation increasingly used in the software development, especially for evaluation of user interaction designs. Software’s usability comprises the aspects effectiveness, efficiency and satisfaction. The user emotional is the best reflection of user’s satisfaction degree. This paper presents the definition of a user satisfaction metric method based on the psychology emotion theories. A Hidden Makov model (HMM) was used to describe the experience-emotion mapping relationship. An artificial neural network was used to affirm the parameter of the emotional-satisfaction mapping. Moreover, we get an effective reflection either.

Keywords

Software Usability Just Noticeable Difference Visual Display Terminal User Emotion Aspect Effectiveness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bevan, N.: Quality and usability: a new framework. In: van Veenendaal, E., McMullan, J. (eds.) Achieving Software Product Quality, Tutein Nolthenius, ‘s Hertogenbosch, The Netherlands (1997)Google Scholar
  2. 2.
    Bos, R., van Veenendaal, E.P.W.M.: For quality of Multimedia systems: The MultiSpace approach (in Dutch). In: Information Management (1998)Google Scholar
  3. 3.
    ISO/IEC FCD 9126-1, Information technology - Software product quality - Part 1: Quality model, International Organization of Standardization (2001)Google Scholar
  4. 4.
    ISO 9421-10, Ergonomic Requirements for office work with visual display terminals (VDT’s)-Part 10: Dialogue principles, International Organization of Standardization (1994)Google Scholar
  5. 5.
    ISO 9241-11, Ergonomic Requirements for office work with visual display terminals (VDT’s)-Part 11: Guidance on usability, International Organization of Standardization (1995)Google Scholar
  6. 6.
    Picard, R.W., Klein, J.: Computers that Recognize and Respond to User Emotion: Theoretical and Practical Implications, MIT Media Lab Tech. Report 538 (2002)Google Scholar
  7. 7.
    Kirakowski, J.: The Software Usability Measurement Inventory: Background and Usage. In: Usability Evaluation in Industry, Taylor and Francis, AbingtonGoogle Scholar
  8. 8.
    Bass, L.J., John, B.E., Kates, J.: Achieving usability through software architecture. Carnegie Mellon University/Software Engineering Institute Technical Report No. CMU/SEI-2001-TR-005 (2001)Google Scholar
  9. 9.
    Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)Google Scholar
  10. 10.
    Mehrabian, A.: Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology: Developmental, Learning, Personality, Social 14, 261–292 (1996)MathSciNetGoogle Scholar
  11. 11.
    Philippot, P., Feldman, R.S.: The Regulation of Emotion. Lawrence Erlbaum Associates Publishers, Mahwah (2004)Google Scholar
  12. 12.
    Koski, T.: Hidden Markov Models for Bioinformatics. Kluwer Academic Publishers, DordrechtGoogle Scholar
  13. 13.
    Johnson, H., Johnson, P.: Task knowledge structures: psychological basis andintegration into system design. Acta Psychologica 78, 3–26 (1991)CrossRefGoogle Scholar
  14. 14.
    Wilson, C., Rosenbaum, S.: Categories of Return on Investment and Their Practical Implications. In: Bias, R., Mayhew, D. (eds.) Cost Justifying Usability. An Update for the Internet Age, Elsevier, USA (2005)Google Scholar
  15. 15.
    Ananda Rao, M., Srinivas, J.: Neural Networks– Algorithms and Applications. Alpha Science International Ltd. (2003)Google Scholar
  16. 16.
    Als, B.S., Jensen, J.J., Skov, M.B.: Comparison of Think-Aloud and Constructive Interaction in Usability Testing with Children, IDC, June 8-10, 2005, Boulder, Colorado, USA (2005)Google Scholar
  17. 17.
    Xiangwei, L., Juan, Y., Yuhui, Q., Weiqun, Z.: A HMM Based Adaptation Model Used in Software Usability Monitoring, ICYCS (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lai Xiangwei
    • 1
  • Bai Yun
    • 1
  • Qiu Yuhui
    • 1
  1. 1.Faculty of Computer and Information ScienceSouthwest UniversityChongqingChina

Personalised recommendations