BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR2001-392
ENTRY:: June 02, 2001
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: SmartReminder: A Case Study on Context-Sensitive Applications
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Mathias, Arun
DATE:: June 2001
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR2001-392.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR2001-392.pdf
ABSTRACT:: 
Designing context-sensitive applications is challenging. We design
and implement SmartReminder to explore designing context-sensitive
applications and to demonstrate how the SOLAR system can be used
in developing such applications. SmartReminder is an application
that reminds the user based on contextual information. Current
appointment-reminder applications remind the user about their
appointments at an arbitrarily specified time. For instance, they
might remind the user ten minutes before each appointment.
SmartReminder, on the other hand, uses contextual information,
like location, to better estimate the appropriate reminder time
for each appointment. It reminds the user based on where they are,
where they need to be, and how long it will take them to get
there. This paper presents SmartReminder as an illustration of how
context-sensitive applications can be designed using the SOLAR
system for dissemination of contextual information.
NOTE:: 
Senior Honors Thesis.  Advisor: David Kotz.
END:: ncstrl.dartmouthcs//TR2001-392