Romantic relationship simulator

By Daniel Tauber

From the Living with AI Series. 

More than one third of U.S. marriages begin with online dating. This algorithmic matching of individuals has radically changed how people meet and who they meet. Yet maintaining a happy and lasting relationship remains difficult. 

Predictive technology today informs your searches (google), what you want to watch (netflix), what you will buy (amazon) and who your friends are (facebook). What will be next? 

This work explores how forecasting through simulations and the modeling of human behavior might influence the way we manage and maintain relationships. This machine predicts the satisfaction in time one can expect to get out of a given romantic relationship. By applying a psychological model and a mathematical/predictive model this instrument learns to recognize patterns in the users behavior and desires and thereby learns to evaluate the relationship. The combination of user input, data input and embeddedness in the larger context allows for a fine-granular adjustment and feedback of desires, needs and feelings. 

“Romantic relationship simulator” is a product online dating websites might come up with one day.

Thank you: Elyne Legarnisson, Timothy Clark, David Muth, Mike Vanis, Neil Pip Thompson, Tom Pearson, Frank Kolkman