Fuzzy Sets and Systems - Special issue on fuzzy neural control
User modeling in adaptive interfaces
UM '99 Proceedings of the seventh international conference on User modeling
Improving mobile internet usability
Proceedings of the 10th international conference on World Wide Web
Adaptive interfaces for ubiquitous web access
Communications of the ACM - The Adaptive Web
Machine Learning for Adaptive User Interfaces
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Integrating device independence and user profiles on the Web
BT Technology Journal
Devices Descriptions for Context-Based Content Adaptation
LA-WEB '05 Proceedings of the Third Latin American Web Congress
Methodology for mobile devices characteristics recognition
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Mobile Devices and Remote Labs in Engineering Education
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
A Method for Automatic Membership Function Estimation Based on Fuzzy Measures
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Android: Changing the Mobile Landscape
IEEE Pervasive Computing
Imhotep: an approach to user and device conscious mobile applications
Personal and Ubiquitous Computing
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Hi-index | 0.00 |
While creating a framework for adaptive mobile interfaces for m-learning applications we found that in order to ease the use of our framework we needed to present the mobile device characteristics to non-expert users in a easy to understand manner. Using fuzzy sets to represent the characteristics of mobile devices, non-expert developers such as teachers or instructional designers can actively participate in the development or adaptation of the educational tools. To be able to automatically generate the fuzzy membership functions of the sets we needed the data of the mobile device market, regrettably this information is not publicly available. To tackle this problem we have developed a method to estimate the market share of each mobile device based on the popularity metrics recovered from Google Trends and then we use that estimated value as the input to generate the fuzzy set of each characteristic. The proposed method allows us to not only model the state of the market in different periods of time, but also to localize the results to adapt them to the mobile market of specific countries. In this paper we will describe the proposed algorithm and we will discuss the obtained results.