[Japanese | Thesis | Researches in Minoh Lab | Minoh Lab]
Home appliances which are designed for limited purpose are useful because of their simplicity. Cooperation of those appliances creates new services, because of possible combination of functions among them. In this paper we propose a method to present candidates of services by using relative location and service history of users.
As a result the combination of generated service and functions is too large for users to accept it. It becomes also difficult for users to choose the appliances if they want to use the services avaliable not in single one. These operations are complicated and troublesome.
In home network like AMIDEN, the procedure of joining and leaving the network by appliances occurs frequently. This is caused by appalinces' location change and their power On/Off status. As a result, avaliable services and avaliable candidates changes. Users have to choose the service and its candidates from he wants under this kind of enviroment. While context information like appliances' relative location and service history may support users' choice.
It is necessary to dectect relative location of appliances and to limit the number of service candidates to simplify user's operation. Compared to other key technologies of identifying absolute location, this paper is focused on specifying relative location by using of the IEEE802.11b wireless standard.
In home network,when users make a choice among candidates of services,they don't give the priority only to the location but also to the function. Some users think location is more important and others think function has high priority. These situation varies on different functions of services. For example, input operation, such as text editing, needs interaction among users and applinaces, so distance is cruicial. On the contrary, composite operation such as image transformation, which has few relationship with relative location to user, has high priority for the function. Here we present a mothod by utilizing the history of users' determination when they make choices. By analyzing each tendency of each service function from users' service history, service that fits users' demand can be provided first, so the users choose them more easily.
To verify the effectiveness of the proposed methods, we experimented embeded functions mentioned above on the wireless LAN network with PCs. As a result of the experiment,we confirmed that the candidates of services changes with user's location and services history.