Data-Based User’s Personality in Personalizing Smart Services

Abstract

Currently, a lot of attention and commitment are paid to improving customer experience with services. More and more proposed solutions are data-based, human-centred services. The purpose of this article is to present the assumptions and evidence in order to create a method that will allow for customization of the service functionalities (e.g. a smart home service with a virtual personal assistant) to the nature of the user (personality in the Big 5 model). The article will present the results of the preliminary research concerning users’ differentiation of needs, the definition of research problems and the idea for a research scheme. The aim of the research is creating a model that classifies users based on their personality indicated from mobile phone data. What distinguishes the proposed solution from others, is that many types of different data are used (call logs, photos, applications, data from telephone usage history, etc.), which can be beneficial for assessment accuracy. Additionally, the proposed method allows for adapting the service to the user needs from the beginning of usage, without the necessity of collecting data about user activity.