Characterizing Smart Systems with Interactive Personalization

Abstract

The personal adaptation of services, in which a system provides services according to the preferences and needs of individual users, is a key to the realization of the emerging Society 5.0. The personal adaptation of systems has been implemented through personal settings by users. However, it is very difficult for users who are not familiar with ICT to manually define the settings that meet their needs. In this paper, we therefore propose a new notion of smart system: Smart System with Interactive Personalization (SSIP). In SSIP, the system and the user have continuous and interactive conversations during the system operation. In the dialogue, the user tells his or her needs and the system introduces its functions. In this way, the user and the system understand each other and dynamically co-create personal settings. In this paper, in order to define SSIP, we present three functional requirements that the system must meet. We also characterize SSIP from the quality viewpoint by quality in use of the international standard SQuaRE. Finally, as a case study, we take the Mind Monitoring Service being developed by our group, and apply the proposed SSIP framework to individual adaptation of the incentive provision feature.