Differences in smartphone usage: validating, evaluating, and predicting mobile user intimacy

TY - JOUR

T1 - Differences in smartphone usage

T2 - validating, evaluating, and predicting mobile user intimacy

AU - Gustarini, Mattia

AU - Scipioni, Marcello Paolo

AU - Fanourakis, Marios

AU - Wac, Katarzyna

PY - 2016/12/1

Y1 - 2016/12/1

N2 - We analyze the users’ intimacy to investigate the differences in smartphone usage, considering the user’s location and number and kind of people physically around the user. With a first user study we (1) validate the intimacy concept, (2) evaluate its correlation to smartphone usage features and (3) we computationally model it. Shorter, more frequent, and less engaging interactions take place when intimacy is lower, while longer, less frequent, and engaging interactions when intimacy is higher. With a second user study, we investigate the intimacy predictability in practice. Location-time features are predictive for the intimacy, and other smartphone-based features can improve the intimacy prediction accuracy.

AB - We analyze the users’ intimacy to investigate the differences in smartphone usage, considering the user’s location and number and kind of people physically around the user. With a first user study we (1) validate the intimacy concept, (2) evaluate its correlation to smartphone usage features and (3) we computationally model it. Shorter, more frequent, and less engaging interactions take place when intimacy is lower, while longer, less frequent, and engaging interactions when intimacy is higher. With a second user study, we investigate the intimacy predictability in practice. Location-time features are predictive for the intimacy, and other smartphone-based features can improve the intimacy prediction accuracy.

U2 - 10.1016/j.pmcj.2016.06.003

DO - 10.1016/j.pmcj.2016.06.003

M3 - Journal article

SN - 1574-1192

VL - 33

SP - 50

EP - 72

JO - Pervasive and Mobile Computing

JF - Pervasive and Mobile Computing

ER -