Advertisement

Establishing Guidelines for User Quality of Experience in Ubiquitous Systems

  • Deógenes Pereira da Silva Junior
  • Patricia Cristiane de Souza
  • Cristiano Maciel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9749)

Abstract

Interaction Technologies are designed to provide continuous, shared and user-friendly access in the current computerized world. Ubiquitous computing includes several features, such as invisibility, continuous interaction and various modes of interaction, which are not present in the paradigm of traditional computing. A relevant issue is that existing recommendations for quality user experience in traditional computing may not prove to be sufficient for the field of ubiquitous computing. In this research a systematic review method was chosen to develop a theoretical basis of the literature about the research theme “investigate user experience in ubiquitous systems”, followed by a qualitative analysis of the selected papers. One result of this work is the guidelines establishment which aims to assist the ubiquitous system design favoring the user experience quality. A case study of the Waze application was carried out to analyze the applicability of the proposed guidelines.

Keywords

Ubiquitous systems User experience Guidelines 

Notes

Acknowledgments

We acknowledge the UFMT and FAPEMAT - Foundation of support to Mato Grosso State research, for sponsoring this project.

References

  1. 1.
    Abowd, G.D., Mynatt, E.D.: Charting past, present, and future research in ubiquitous computing. ACM Trans. Comput.-Hum. Interact. 7(1), 29–58 (2000)CrossRefGoogle Scholar
  2. 2.
    Weiser, M.: The computer for the 21st century. Sci. Am. 265(3), 94–104 (1991)CrossRefGoogle Scholar
  3. 3.
    Boca, S., Gentile, A., Ruggieri, S., Sorce, S.: An evaluation of HCI and CMC in information systems within Highly Crowded Large Events. In: Seventh International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp. 600–604 (2013)Google Scholar
  4. 4.
    Kaasinen, E., Kymäläinen, T., Niemelä, M., Olsson, T., Kanerva, M., Ikonen, V.: A user-centric view of intelligent environments: user expectations, user experience and user role in building intelligent environments. Computers 2(1), 1–33 (2012)CrossRefGoogle Scholar
  5. 5.
    Abowd, G.D., Mynatt, Elizabeth D., Rodden, T.: The human experience. IEEE Pervasive Comput. 1(1), 48–57 (2002)CrossRefGoogle Scholar
  6. 6.
    Hassenzahl, M., Tractinsky, N.: User experience - a research agenda. Behav. Inf. Technol. 25(2), 91–97 (2006)CrossRefGoogle Scholar
  7. 7.
    Hilbert, D.M., Trevor, J.: Personalizing shared ubiquitous devices. Interactions 11(3), 34–43 (2004)CrossRefzbMATHGoogle Scholar
  8. 8.
    Hong, D., Chiu, D.K.W., Shen, V.Y: Requirements elicitation for the design of context-aware applications in a ubiquitous environment. In: Proceedings of the 7th International Conference on Electronic Commerce (ICEC 2005), pp. 590–596 (2005)Google Scholar
  9. 9.
    Islam, N., Fayad, M.: Toward ubiquitous acceptance of ubiquitous computing. Commun. ACM 46(2), 89–92 (2003)CrossRefGoogle Scholar
  10. 10.
    DIS, I.: 9241-210: 2010. Ergonomics of human system interaction-Part 210: Human-centred design for interactive systems (2009)Google Scholar
  11. 11.
    Iqbal, R., Sturm, J., Kulyk, O., Wang, J., Terken, J.: User-centred design and evaluation of ubiquitous services. In: Proceedings of the 23rd Annual International Conference on Design of Communication: Documenting and Designing for Pervasive Information, pp. 138–145 (2005)Google Scholar
  12. 12.
    Jaimes, A., Dimitrova, N.: Human-centered multimedia: culture, deployment, and access. IEEE Multimedia 13(1), 12–19 (2006)CrossRefGoogle Scholar
  13. 13.
    Jensen, K.L., Larsen, L.B.: The challenge of evaluating the mobile and ubiquitous user experience. In: Second International Workshop on Improved Mobile User Experience (2008)Google Scholar
  14. 14.
    Kitchenham, B.: Guidelines for performing Systematic Literature Reviews in Software Engineering. Keele and Durham University Joint Report. EBSE 2007-001 (2007)Google Scholar
  15. 15.
    Korkea-aho, M.: Context-aware application surveys. (2000). http://www.hut.fi/mkorkeaa/doc/context-aware.html
  16. 16.
    Kray, C., Larsen, L.B., Olivier, P., Biemans, M., van Bunningen, A., Fetter, M., de Vallejo, I.L.: Evaluating ubiquitous systems with users (workshop summary). In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) Constructing Ambient Intelligence. CCIS, vol. 11, pp. 63–74. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  17. 17.
    Leichtenstern, K., André, E., Kurdyukova, E.: Managing user trust for self-adaptive ubiquitous computing systems. In: Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2010), pp.409–414 (2010)Google Scholar
  18. 18.
    Maciel, C., de Souza, P.C., Viterbo, J., Mendes, F.F., Seghrouchni, A.E.F.: A multi-agent architecture to support ubiquitous applications in smart environments. In: Koch, F., Meneguzzi, F., Lakkaraju, K. (eds.) Agent Technology for Intelligent Mobile Services and Smart Societies, pp. 106–116. Springer, Heidelberg (2015)Google Scholar
  19. 19.
    Madeira, R.N.: Personalization in pervasive spaces towards smart interactions design. In: IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM 2012), pp. 548–549 (2012)Google Scholar
  20. 20.
    Malaka, R., Porzel, R.: Design principles for embodied interaction: the case of ubiquitous computing. In: Mertsching, B., Hund, M., Aziz, Z. (eds.) KI 2009. LNCS, vol. 5803, pp. 711–718. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  21. 21.
    Ranganathan, A., Al-Muhtadi, J., Biehl, J., Ziebart, B., Campbell, R.H., Bailey, B.: Towards a pervasive computing benchmark. In: Third IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM 2005), pp. 194–198 (2005)Google Scholar
  22. 22.
    Rimmer, J., Owen, T., Wakeman, I., Keller, B., Weeds, J., Weir, D.: User policies in pervasive computing environments. User Experience Design for Pervasive Computing (2005)Google Scholar
  23. 23.
    Santos, R.M., de Oliveira, K.M., Andrade, R.M., Santos, I.S., Lima, E.R.: A quality model for human-computer interaction evaluation in ubiquitous systems. In: Collazos, C., Liborio, A., Rusu, C. (eds.) CLIHC 2013. LNCS, vol. 8278, pp. 63–70. Springer, Heidelberg (2013). J. Int. Soc. Burn Injuries 37(1): 61–8CrossRefGoogle Scholar
  24. 24.
    Somervell, J., Chewar, C.M., McCrickard, D.S., Ndiwalana, A.: Enlarging usability for ubiquitous displays. In: Proceedings of the 41st Annual ACM Southeast Conference (ACMSE 2003), pp. 24–29 (2003)Google Scholar
  25. 25.
    Tullis, T., Albert, W.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann Publishers Inc., San Francisco (2008)Google Scholar
  26. 26.
    Urrútia, G., Bonfill, X.: Declaración PRISMA: una propuesta para mejorar la publicación de revisiones sistemáticas y metaanálisis. Medicina Clínica 135(11), 507–511 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Laboratório de Ambientes Virtuais Interativos (LAVI), Instituto de Computação (IC)Universidade Federal de Mato Grosso (UFMT)CuiabáBrazil

Personalised recommendations