Self-Information System: Activity Analysis and Modeling for Creation of Context-based personalized services

摘要

Along with the improvement of hardware side of the Information Technology (IT), information society steps into nextstage; that is, enrichment of software services. In order to provide enriched services, each service recipient has to be investigated thoroughly. However nowadays, acquiring and accumulating personal information is very difficult because of issues about security, law, etc. On the other hand, in business, service providers (e.g. private companies) fragmentarily collect consumers' information, such as name, age, sex, purchase history, etc., by themselves because their objective is to know consumers' "common" needs; therefore, services that are really needed by each consumer are NOT created. Therefore, we launched new project named "self-information" in which users accumulate, manage, and utilize their own information.The main objectives of the project are as follows: 1.Development of the system which accumulates, manages and utilizes "self information. 2.Development of methodology to acquire "self information. 2. Modeling of individual consumer's activity using "self information. This research especially aims at the second objective, that is, modeling of consumer's activity tendency and preference to create personal supportive (useful) services, for example, proactive announcement on transportation, recommendation about restaurant, etc. Firstly, we collect consumer's activity schedules and activity logs by combining scheduler, GPS, receipt, etc. Next, activity tendency and preference are analyzed and extracted from the data. Finally, we model them using decision making theories and implement the model into the system.