Abstract
The article presents a research method of creating classification of users needs based on their personality (Big 5) determined on the basis of available digital data. The research is work in progress and is based on a specific use case which is a smart services (home environment) with users interface on a mobile phone. This paper includes the results of preliminary research on the needs of users, formulates research problems and discusses assumptions and the research methods. What distinguishes the proposed solution from others, is that the profile will be available for service just after installing, without the necessity of collecting data about user activity. The idea of data-based users classification, can be used at the early stage, which seems to be important in the adaptation process to any new smart service.
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Notes
- 1.
The research was carried out in 2018, on 60 users of mobile phones, aged 20–29, men and women, (homogeneous group due to emphasize the diversity resulting from personality). 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 behavioral metrics for each of Big 5 dimensions.
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Krzeminska, I. (2020). Personalizing Smart Services Based on Data-Driven Personality of User. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2019 Workshops. OTM 2019. Lecture Notes in Computer Science(), vol 11878. Springer, Cham. https://doi.org/10.1007/978-3-030-40907-4_21
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DOI: https://doi.org/10.1007/978-3-030-40907-4_21
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