Context aware services for mobile users: JQMobile vs Flash Builder implementations

Current information systems that help user mobility, i.e., mobility information systems, generally lack of the basic context information that support people activity in time-changing environments: they do not take into account current traffic, weather or car pollution conditions, nor the mobile users are timely informed about accidents, or road works. Also, such systems do not consider the user personal information that influences the user context awareness such as age, or health status. Aim of the paper is to illustrate how context aware services may be offered by an implementation architecture based on a server following the Model-View-Controller paradigm, i.e., Ruby on Rails (RoR), whose controllers implement the use stories of the mobile users, and whose views are JQMobile scripts that provide for each story the most suitable scenario by an user interface based on the familiar Google Maps. How Flash Builder applications resident on the user mobiles may provide the users with similar RoR views, but saving RoR time, is also widely discussed. Furthermore the paper claims that involving actively the mobiles into the mobility information system may support more effectively the context aware decisions of the mobile users.

[1]  Daniela Giordano,et al.  Ontology, esthetics and creativity at the crossroads in Information System design , 2000, Knowl. Based Syst..

[2]  Concetto Spampinato,et al.  Adaptive Background Modeling Integrated With Luminosity Sensors and Occlusion Processing for Reliable Vehicle Detection , 2011, IEEE Transactions on Intelligent Transportation Systems.

[3]  Andrew B. Hargadon,et al.  Identifying Situated Cognition in Organizations , 2005 .

[4]  Ingo Br,et al.  Prolog programming for artificial intelligence , 1990 .

[5]  Mica R. Endsley,et al.  Designing for Situation Awareness : An Approach to User-Centered Design , 2003 .

[6]  F. Benjamin Zhan,et al.  Shortest Path Algorithms: An Evaluation Using Real Road Networks , 1998, Transp. Sci..

[7]  Daniela Giordano,et al.  StoryNet: an evolving network of cases to learn information systems design , 1998, IEE Proc. Softw..

[8]  E. Goldstein.  The Ecology of J. J. Gibson's Perception , 1981 .

[9]  Claudio Bettini,et al.  Distributed Context Monitoring for Continuous Mobile Services , 2005, MOBIS.

[10]  Concetto Spampinato,et al.  GRIPLAB 1.0: Grid Image Processing Laboratory for Distributed Machine Vision Applications , 2008, 2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[11]  Concetto Spampinato,et al.  Integrating Location Tracking, Traffic Monitoring and Semantics in a Layered ITS Architecture , 2011 .

[12]  Concetto Spampinato,et al.  Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images , 2008, IEEE Transactions on Neural Networks.

[13]  Guillaume Leduc,et al.  Road Traffic Data: Collection Methods and Applications , 2008 .

[14]  Jun Zhai,et al.  Ontology-Based Integrated Information Platform for Digital City , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[15]  Daniela Giordano,et al.  Concept formation from design cases: why reusing experience and why not , 1998, Knowl. Based Syst..

[16]  Stuart Harvey Rubin.  Computing with words , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).