TY - GEN
T1 - Improving the mobile phone habitat - Learning changes in user's profiles
AU - Bridle, Robert
AU - McCreath, Eric
PY - 2005
Y1 - 2005
N2 - Mobile phones are becoming a popular platform for a range of applications. However, due to size restrictions, the interfaces of these applications can be difficult to use. Customising an interface for a particular user offers the potential to improve an interface's efficiency. In this paper, we propose customising a mobile phone's Profile application. We apply a machine learning approach to discover concepts that describe a user's profile-activations in terms of their scheduled appointments. We found that it is possible to learn useful concepts, which maybe used to improve the users interaction with mobile phone devices.
AB - Mobile phones are becoming a popular platform for a range of applications. However, due to size restrictions, the interfaces of these applications can be difficult to use. Customising an interface for a particular user offers the potential to improve an interface's efficiency. In this paper, we propose customising a mobile phone's Profile application. We apply a machine learning approach to discover concepts that describe a user's profile-activations in terms of their scheduled appointments. We found that it is possible to learn useful concepts, which maybe used to improve the users interaction with mobile phone devices.
UR - http://www.scopus.com/inward/record.url?scp=33745604669&partnerID=8YFLogxK
U2 - 10.1007/11589990_122
DO - 10.1007/11589990_122
M3 - Conference contribution
SN - 3540304622
SN - 9783540304623
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 970
EP - 974
BT - AI 2005
T2 - 18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
Y2 - 5 December 2005 through 9 December 2005
ER -