- Samantha Joel, Univ. of Utah
- Paul Eastwick, UC Davis
- Eli Finkel, Northwestern Univ.
Machine learning techniques examined if it is possible to predict initial romantic desire from people’s self-reported traits and preferences. Although some sources of variance were predictable, compatibility variance (e.g., matching a partner to preferences) was not. Implications and challenges facing the mate preferences literature—with respect to replicability and beyond—will be discussed.