Exploring Everyday Activities for Pervasive Decision-Aid

In this paper, we explain the process of establishing shopper´s activity-models based on a series of user-researches as the basis of pervasive systems for a supermarket. Pervasive systems have been recognized as the technologies which enable user´s decision-aid in his/her everyday-activities. For instance, a smart travel navigation system, which employs embedded and wearable devices and mobile agent technologies, was proposed as a promising information system for the society: it renders complex tasks into simple subtasks including providing adequate information regarding transit to the other train at an arbitrary station for visually-impaired person. Few researches on analysis of user´s everyday-activities for the systems design, however, have been conducted. We believe important to examine user´s everyday-activities as well as to develop elemental technologies of pervasive systems simultaneously, which will become a powerful way of solving a variety of real-world problems. An important knowledge regarding the model is that a shopper gradually elaborates vague plans primarily conceived at off the store into final decision-making at checkouts, instead of buying items according to well-defined plan as well as just on impulse. We regarded that the system dynamically adapting to these shopper´s contexts is very different from other shopper´s decision-aid systems