Towards a psychographic user model from mobile phone usage

Rodrigo Cardoso de Oliveira · Alexandros Karatzoglou · Pedro Concejero Cerezo · Ana Armenta · Nuria Oliver

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Human Mobility and Location-Based Analysis Personality Traits and Psychology Persona Design and Applications

Abstract

Knowing the users' personality can be a strategic advantage for the design of adaptive and personalized user interfaces. In this paper, we present the results of a first trial conducted with the aim of inferring people's personality traits based on their mobile phone call behavior. Initial findings corroborate the efficacy of using call detail records (CDR) and Social Network Analysis (SNA) of the call graph to infer the Big Five personality factors. On-going work includes a large-scale study that shall refine the accuracy of the models with a reduced margin of error.

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1992The development of markers for the Big-Five factor structure.2001Big Five factors and facets and the prediction of behavior.

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2014Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits 2012Friends don't lie 2017The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good 2011Please, tell me about yourself 2018Phone-based metric as a predictor for basic personality traits 2017A survey on mobile affective computing 2015MobiScore: Towards Universal Credit Scoring from Mobile Phone Data 2013Influence of personality on satisfaction with mobile phone services

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