Abstract
Increasingly, mobile devices play a key role in the communication between users and the services embedded in their environment. All these services compete for the attentional resources of the user. Thus, it is essential to consider the degree in which each service intrudes the user mind (i.e., the obtrusiveness level) when services are designed. In this work we introduce a method for the development of mobile services that can be adapted in terms of obtrusiveness. That is, services can be developed to provide their functionality at different obtrusiveness levels by minimizing the duplication of efforts. In order to define the obtrusiveness level adaptation in a declarative manner we make use of Feature Modeling techniques. An experiment was conducted in order to put in practice the proposal and evaluate the user acceptance for the way in which services are presented.
This work has been developed with the support of MICINN under the project SESAMO TIN2007-62894 and co-financed with ERDF, in the grants program FPU.
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References
Abrams, M., Phanouriou, C., Batongbacal, A.L., Williams, S.M., Shuster, J.E.: Uiml: an appliance-independent xml user interface language. In: WWW 1999, pp. 1695–1708. Elsevier North-Holland, Inc., New York (1999)
Van den Bergh, J., Coninx, K.: Using uml 2.0 and profiles for modelling context-sensitive user interfaces. In: Proceedings of the MDDAUI 2005, CEUR Workshop (2005)
Calvary, G., Coutaz, J., Thevenin, D., Limbourg, Q., Bouillon, L., Vanderdonckt, J.: A unifying reference framework for multi-target user interfaces. Interacting with Computers 15(3), 289–308 (2003)
Cetina, C., Giner, P., Fons, J., Pelechano, V.: Autonomic computing through reuse of variability models at runtime: The case of smart homes. Computer 42(10), 37–43 (2009)
Czarnecki, K., Helsen, S., Eisenecker, U.: Staged configuration using feature models. In: Nord, R.L. (ed.) SPLC 2004. LNCS, vol. 3154, pp. 266–283. Springer, Heidelberg (2004)
Fischer, G.: User modeling in human-computer interaction. User Modeling and User-Adapted Interaction 11(1-2), 65–86 (2001)
Gibbs, W.W.: Considerate computing. Scientific American 292(1), 54–61 (2005)
Giner, P., Cetina, C., Fons, J., Pelechano, V.: Developing mobile workflow support in the internet of things. IEEE Pervasive Computing 9(2), 18–26 (2010)
Ho, J., Intille, S.S.: Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. In: CHI 2005, pp. 909–918. ACM, New York (2005)
Horvitz, E., Koch, P., Apacible, J.: Busybody: creating and fielding personalized models of the cost of interruption. In: CSCW 2004, pp. 507–510. ACM, New York (2004)
Ju, W., Leifer, L.: The design of implicit interactions: Making interactive systems less obnoxious. Design Issues 24(3), 72–84 (2008)
Lewis, J.R.: Ibm computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int. J. Hum.-Comput. Interact. 7(1), 57–78 (1995)
Limbourg, Q., Vanderdonckt, J., Michotte, B., Bouillon, L., Lopez-Jaquero, V.: UsiXML: A Language Supporting Multi-path Development of User Interfaces (2005)
Ramchurn, S.D., Deitch, B., Thompson, M.K., Roure, D.C.D., Jennings, N.R., Luck, M.: Minimising intrusiveness in pervasive computing environments using multi-agent negotiation. In: First International Conference on Mobile and Ubiquitous Systems, pp. 364–372 (2004)
Tedre, M.: What should be automated? Interactions 15(5), 47–49 (2008)
Vastenburg, M.H., Keyson, D.V., de Ridder, H.: Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory. Int. J. Hum.-Comput. Stud. 67(9), 814–826 (2009)
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Gil, M., Giner, P., Pelechano, V. (2010). Service Obtrusiveness Adaptation. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_2
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DOI: https://doi.org/10.1007/978-3-642-16917-5_2
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