Abstract
Most of the mobile phones have turned into full-connected devices. This provides companies with a perfect channel to interact with their potential clients and employees. The quality of the experience with these applications can directly affect the profits of the company it represents. Focusing on the mobile field and its extremely dynamic context, the quality of the experience can highly fluctuate. Inside this field, several methods and tools have been developed by defining a context of use. However, current methods can only capture it through adding external capture tools (added cameras, human observers...) that can change the experience. The main contribution in this article is a new approach to automatically measure effectiveness through a tiny but powerful mobile tool that can capture interaction metrics and the surrounding context without biasing the measured experience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999)
Brown, P.J., Bovey, J.D., Chen, X.: Context-aware applications: From the laboratory to the marketplace. IEEE Personal Communications 4(5), 58–64 (1997)
ISO (ed.): ISO 9241-11:1998(E): Ergonomic requirements for office work with visual display terminals (VDTs) Part 11: Guidance on usability (1998)
ISO (ed.): ISO/IEC TR 9126-4:2004(E): Software engineering Product quality Part 4: Quality in use metrics (2004)
Jensen, K.L.: Recon: Capturing mobile and ubiquitous interaction in real contexts. In: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, p. 76. ACM (2009)
Kankainen, A., et al.: Thinking model and tools for understanding user experience related to information appliance product concepts. Helsinki University of Technology (2002)
National Institute of Standards and Technology: Common industry specification for usability requirements (NISTIR 7432) (June 2007)
Raento, M., Oulasvirta, A., Petit, R., Toivonen, H.: Contextphone: A prototyping platform for context-aware mobile applications. IEEE Pervasive Computing 4(2), 51–59 (2005)
Ryan, N.S., Pascoe, J., Morse, D.R.: Enhanced reality fieldwork: The context-aware archaeological assistant. In: Computer Applications in Archaeology (1998)
Schilit, B., Theimer, M.: Disseminating active map information to mobile hosts. IEEE Network 8(5), 22–32 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Pretel, I., Lago, A.B. (2013). Effectiveness Measurement Framework for Field-Based Experiments Focused on Android Devices. In: Collazos, C., Liborio, A., Rusu, C. (eds) Human Computer Interaction. CLIHC 2013. Lecture Notes in Computer Science, vol 8278. Springer, Cham. https://doi.org/10.1007/978-3-319-03068-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-03068-5_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03067-8
Online ISBN: 978-3-319-03068-5
eBook Packages: Computer ScienceComputer Science (R0)