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.
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Notes
- 1.
The research was carried out in the first half of 2018, on 60 users of mobile phones, residents of Warsaw. In order to emphasize the diversity between people resulting from their personality, the study was conducted on a very homogeneous group in terms of demographics (the aim was to reduce confounding factors). The age has been limited to 20–29 years, separate groups for both sexes, technologically advanced group, using many functionalities of mobile devices. The study was a multi-stage: filling of the personality questionnaire (Big 5), monthly observation of behaviors in social profiles and in the use of telephone, in-depth structured interviews aimed at getting as much information as possible about behavior patterns. The results of these studies were used for creating behavioral metrics for each of Big 5 dimensions.
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Krzeminska, I. (2019). Data-Based User’s Personality in Personalizing Smart Services. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-36691-9_57
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