Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Computational Linguistics
Context-based video retrieval system for the life-log applications
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
From Linear Story Generation to Branching Story Graphs
IEEE Computer Graphics and Applications
AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks
IEEE Pervasive Computing
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Modular bayesian networks for inferring landmarks on mobile daily life
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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As mobile devices improve their performance in ubiquitous spaces, they have a variety of applications with more information. Active exploration follows for collecting and utilizing the information accumulated in ubiquitous environment. If user information in mobile devices can be summarized in a more intuitive and interesting form, like cartoon, it can help to share his experience with other people, and recall his meaningful memory. In this paper, we propose a method that organizes a story and generates cartoons using the information collected in ubiquitous environment. We generate cartoons with Petri net-based method, which describes causal relationship between experienced events and the precondition of events. Mobile information used in the experiment is collected from two female undergraduate students for two weeks. We confirm the potential of the proposed method for ambient intelligence through the analysis of the results.