Mining large-scale smartphone data for personality studies

By Gokul Chittaranjan, Jan Otto Blom, Daniel Gatica-Perez. Personal and Ubiquitous Computing, 2013

381 citations recorded by the source corpus.

Subfields: Applied Psychology, Clinical Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/46f7f195a507540f691f7f45f84cd4f532857364

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In Applied Psychology

In Clinical Psychology

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Citations in the corpus

Predicting Personality Using Novel Mobile Phone-Based Metrics (2013, background): “In particular, a previous study that used a combination of information frommobile phone logs and people’s usage of mobile phone applications such as YouTube, Internet, and Games predicted the personality of their owners with a mean accuracy of 15% [9].”
Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015, background): “Clearly, the future will hold important developments in the area of mobile sensing, that is, the ‘reading’ of behaviour patterns, emotions and environments from people’s phone usage (Chittaranjan et al., 2013; Eagle & Pentland, 2005; Onnela, Waber, Pentland, Schnorf, & Lazer, 2014).”
The Mobile Data Challenge: Big Data for Mobile Computing Research (2012, background): “…are beginning to examine issues in behavioral and social science from the Big Data perspective – by using large-scale mobile data as input to characterize and understand real-life phenomena, including individual traits, as well as human mobility, communication, and interaction patterns [11, 12, 9].”
Overview of the 3rd Author Profiling Task at PAN 2015 (2015, background): “Several studies have started exploring the wealth of behavioral data made available by cameras, microphones [56, 6, 43, 33, 2], wearable sensors [50, 28], and mobile phones [70, 14, 44], by linking personality traits to dimensions such as face to face interaction or speech,”
Smartphone usage in the 21st century: who is active on WhatsApp? (2015, background): “[17], who, to our knowledge, published one of the first studies on the link between personality and actual recorded smartphone behaviour.”