The article discusses how to design experiments to collect data on people's choices, especially in transportation. They focus on creating efficient designs for complex models that can account for individual differences in decision-making. The researchers highlight the challenges in designing experiments for these models and suggest using simulations to evaluate the best designs. Their goal is to improve the construction of real choice experiments by considering the efficiency of the design and the accuracy of the model's estimates.