2018/07/06 by Kleomenis Katevas, Ioannis Arapakis, Martin Pielot · 1 citation
Computer Science · Decision Sciences · Psychology · Social Sciences · #Computer science #Digital Marketing and Social Media #Human–computer interaction #Impact of Technology on Adolescents #Internet privacy #Mobile device #Mobile phone #Personality #Phone #Psychology #Sample (material) #Social psychology #Technology Adoption and User Behaviour #Telecommunications #World Wide Web #cs.HC
paper · pdf · doi:10.1145/3229434.3229441
10 pages, 6 figures, conference paper
arxiv created 2018/07/06 · arxiv updated 2018/07/09 · openalex publication_date 2018/08/24 · openalex created_date 2022/08/03 · openalex updated_date 2026/07/29
Not all smartphone owners use their device in the same way. In this work, we uncover broad, latent patterns of mobile phone use behavior. We conducted a study where, via a dedicated logging app, we collected daily mobile phone activity data from a sample of 340 participants for a period of four weeks. Through an unsupervised learning approach and a methodologically rigorous analysis, we reveal five generic phone use profiles which describe at least 10% of the participants each: limited use, business use, power use, and personality- & externally induced problematic use. We provide evidence that intense mobile phone use alone does not predict negative well-being. Instead, our approach automatically revealed two groups with tendencies for lower well-being, which are characterized by nightly phone use sessions.