ABSTRACT
In recent years, the technological developments in mobile and communication networks have paved the way for smart environments, whose final goal is to provide users with enhanced experiences. The measure of user experience satisfaction, or quality of experience, may be defined as an affective state in response to a service. Thus, an experiment was devised to explore the relationship between users' affective state and their context, for assessing quality of experience in urban public transport services. A pilot study, conducted to evaluate the feasibility and requirements of such an experiment is presented, leading to a large scale field study.
- Beauregard R, A. Younkin, P. Corriveau, R. Doherty, and E. Salskov. Assessing the Quality of User Experience. Intel Technology Journal, 11(01), 2007.Google Scholar
- C. Chorus, E. Molin, and B. Van Wee. Use and Effects of Advanced Traveller Information Services (ATIS): A Review of the Literature. Transport Reviews, 26(2):127--149, Mar. 2006.Google ScholarCross Ref
- S. Consolvo and M. Walker. Using the experience sampling method to evaluate ubicomp applications. Pervasive Computing, IEEE, 2003. Google ScholarDigital Library
- D. Cook and S. Das. How smart are our environments? An updated look at the state of the art. Pervasive and Mobile Computing, 3(2):53--73, Mar. 2007. Google ScholarDigital Library
- P. M. Costa, J. Pitt, J. Falcão e Cunha, and T. Galvão. Cloud2Bubble: Enhancing Quality of Experience in Mobile Cloud Computing Settings. In ACM Workshop on Mobile Cloud Computing and Services, 2012. Google ScholarDigital Library
- P. M. Costa, J. Pitt, J. G. Vieira, J. Falcão e Cunha, and T. Galvão. Investigating Mobile Quality of Experience in Public Transport. In Proceedings of MobileHCI '12, 2012. Google ScholarDigital Library
- K. Dziekan and K. Kott. Dynamic at-stop real-time information displays for public transport: effects on customers.Google Scholar
- A. Kapoor, W. Burleson, and R. W. Picard. Automatic prediction of frustration. International Journal of Human-Computer Studies, 65(8):724--736, Aug. 2007. Google ScholarDigital Library
- A. Madan, M. Cebrian, D. Lazer, and A. Pentland. Social sensing for epidemiological behavior change. Proceedings of Ubicomp '10, page 291, 2010. Google ScholarDigital Library
- C. Mancini, K. Thomas, and Y. Rogers. From spaces to places: emerging contexts in mobile privacy. Proceedings of Ubicomp '09, pages 1--10, 2009. Google ScholarDigital Library
- H. Mano and R. Oliver. Assessing the Dimensionality and Structure of the Consumption Experience: Evaluation, Feeling and Satisfaction. Journal of Consumer research, 1993.Google Scholar
- R. W. Picard. Affective computing: challenges. International Journal of Human-Computer Studies, 59(1-2):55--64, July 2003. Google ScholarDigital Library
- J. Russell. A Circumplex Model of Affect. Journal of personality and social psychology, 9(6):1161--1178, 1980.Google Scholar
- F. Sadri. Ambient intelligence: A Survey. ACM Computing Surveys, 43(4):1--66, Oct. 2011. Google ScholarDigital Library
- D. Saha and A. Mukherjee. Pervasive Computing: A Paradigm for the 21st Century. Computer, 36(3):25--31, Oct. 2003. Google ScholarDigital Library
- M. Satyanarayanan. Pervasive computing: Vision and challenges. Personal Communications, IEEE, (August):10--17, 2001.Google Scholar
- R. A. Spreng, S. B. Mackenzie, and B. W. Olshavsky. A Re-examination of the Determinants of Consumer Satisfaction. Journal of Marketing, 60(3):15--22, 1996.Google ScholarCross Ref
- J. G. Vieira, T. Galvão, J. Falcão e Cunha, P. M. Costa, and J. Pitt. Smart Mobile Sensing for Measuring Quality of Experience in Urban Public Transports. In The Second Workshop on Smart Mobile Applications, 2012.Google Scholar
Index Terms
- Assessing contextual mood in public transport: a pilot study
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