DocumentCode :
2718279
Title :
Tiles — A model for classifying and using contextual information for context-aware applications
Author :
Tan, Esther Meng-Yake ; Foo, S. ; Goh, Dion Hoe-Lian ; Theng, Yin-Leng
Author_Institution :
Div. of Inf. Studies, Nanyang Technol. Univ., Singapore, Singapore
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.
Keywords :
information retrieval systems; mobile computing; pattern classification; TILES property; context aware application; context properties classification; contextual information; environmental property; identity property; location property; mobile information retrieval system; mobile tourism industry; social property; temporal property; Context awareness; Context modeling; Displays; Information filtering; Information filters; Information retrieval; Mobile communication; Office automation; Tiles; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management, 2009. ICDIM 2009. Fourth International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4244-4253-9
Electronic_ISBN :
978-1-4244-4254-6
Type :
conf
DOI :
10.1109/ICDIM.2009.5356787
Filename :
5356787
Link To Document :
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