  Cooperation is a fundamental human concept studied across multiple social and
biological disciplines. Traditional methods for eliciting an individual's
propensity to cooperate have included surveys and laboratory experiments and
multiple such studies have connected an individual's cooperation level with her
social behavior. We describe a novel approach to model an individual's
cooperation level based on her phoneotype i.e. a composite of an individual's
traits as observable via a mobile phone. This phone sensing-based method can
potentially complement surveys, thus providing a cheaper, faster, automated
method for generating insights into cooperation levels of users. Based on a
10-week field study involving 54 participants, we report that: (1) multiple
phone-based signals were significantly associated with participant's
cooperation attitudes; and (2) combining phone-based signals yielded a
predictive model with AUCROC of 0.945 that performed significantly better than
a comparable demography-based model at predicting individual cooperation
propensities. The results pave the way for individuals and organizations to
identify more cooperative peers in personal, social, and commerce related
settings.
