Keynote Address 1

Title :

Ubiquitous Computing: Applications and Research Opportunities


About 25 years ago, Mark Weiser introduced the concept of Ubiquitous Computing. Ten years later, Mahadev Satyanarayanan revisited and reinforced the concept by publishing studies focused on components and architectures to achieve the Pervasive Computing (synonym of ubiquitous computing). Since then, this computational paradigm has received increasing attention from researchers. Significantly, recent years have witnessed the proliferation of various technologies that enable the implementation of ubiquitous systems such as Location Systems and Location-based Services (LBSs). Furthermore, the application of ubiquitous computing in different knowledge areas has increasingly been studied, covering areas such as health (u-health) [1], accessibility (u-accessibility) [2], learning (u-learning) [3], commerce (u-commerce) [4] and games (u-games) [5]. This broad interest shows the relevance of this emergent technology and allows us to predict that the adoption of ubiquitous computing will generate a similar impact that the adoption of internet has generated in various application areas (for example, e-commerce and e-learning). This article summarizes the evolution of ubiquitous computing and discusses emerging uses in some application areas. Additionally, the text discusses issues currently addressed by researchers that are considered challenges and consequently research opportunities. For example, studies related to Contexts Histories (also called Trails [6]) and their use to support Profile Management[7] and Context Prediction [8] have been considered strategic. Finally, the article concludes by outlining trends in ubiquitous computing research.

Chair Info:

Dr. Jorge Luis Victória Barbosa
Professor of the Applied Computing Graduate Program (PIPCA)
University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil


Jorge Luis Victória Barbosa received the M.Sc. and Ph.D. degrees in computer science from the Federal University of Rio Grande do Sul, Porto Alegre, Brazil, in 1996 and 2002, respectively. He is currently a Full Professor of the Applied Computing Graduate Program (PIPCA) at the University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil. Additionally, he is a researcher of productivity at CNPq/Brazil and the head of the Mobile Computing Laboratory (MobiLab/UNISINOS). His research interests include ubiquitous computing, its applications (u-health, u-accessibility, u-learning, andothers), contexts histories, profile management and context prediction.


[1] H. D. Vianna and J. L. V. Barbosa. (2014). A Model for Ubiquitous Care of Noncommunicable Diseases. IEEE Journal of Biomedical and Health Informatics. [Online]. 18(5), pp. 1597–1606. Available:

[2] J. E. R. Tavares, J. L. V. Barbosa, I. G. Cardoso, C. A. Costa, A. C. Yamin, and R. A. Real. (2015). Hefestos: an intelligent system applied to ubiquitous accessibility. Universal Access in the Information Society. [Online].

[3] J. L. V. Barbosa, D. N. F. Barbosa, J. M. Oliveira, and S. A. J. Rabello. (2014). A Decentralized Infrastructure for Ubiquitous Learning Environments. Journal of Universal Computer Science. [Online]. 20(2), pp. 1649–1669.

[4] L. K. Franco, J. H. Rosa, J. L. V. Barbosa, C. A. Costa, and A. C Yamin.(2011). MUCS: A Model for Ubiquitous Commerce Support. Electronic Commerce Research and Applications. [Online]. 10(2), pp. 237–246. Available:

[5] W. Segatto, E. Herzer, C. L. Mazzotti, J. R. Bittencourt, and J. L. V. Barbosa. (2008). moBIO Threat: a Mobile Game based on the Integration of Wireless Technologies. Computers in Entertainment. [Online].6(3), article n. 39. Available:

[6] J. M. Silva, J. H. Rosa, J. L. V. Barbosa, D. N. F., Barbosa, and L. A. M. Palazzo. (2010). Content Distribution in Trail-aware Environments. Journal of the Brazilian Computer Society. 16(3), pp. 163–176.

[7] A. Wagner, J. L. V. Barbosa, and D. N. F. Barbosa. (2014). A Model for Profile Management Applied to Ubiquitous Learning Environments. Expert Systems with Applications. [Online]. 41(4), pp. 2023–2034. Available:

[8] J. H. Rosa, J. L. V. Barbosa, and G. O. Barcelos. (2015). ORACON: An Adaptive Model For Context Prediction. Expert Systems with Applications. [Online]. Available: