Recent studies suggest that we can improve the precision of HB utility estimates by relating features of the choice task to the response time using Gaussian Process Regression. We show how this methodology performs under a variety of conditions of interest to practitioners. We also compare Gaussian Process models with linear models. We conclude with a discussion on the benefits and drawbacks of modeling response time alongside HB utility estimation and provide recommendations for practitioners.
