You want an interaction effect if the combined effect of gender and trial goes above and beyond the effect of changing them individually. Simulated explanatory example:
If you decide you want to include an interaction variable, the model.matrix() function in R can help set up the necessary metadata variables. Something like model.matrix(~gender*trial, data = d) in your case.