Abstract
We investigated preferences for 20 landscape images. Because the paired comparison for many targets is too effortful for subjects, we adopted the four-fold choice. We asked subjects to choose the most preferable image from the four images displayed on the Web site, and they repeated this selection process 20 times. Then, assuming the Thurstone model, we estimated the average preference scores of all images with the MCMC estimation. Then, we assumed subjects can be divided into different groups according to their preference patterns. We assigned the subject to groups based on the likelihood and estimated the average preference scores for the 20 images for each group simultaneously. Some of the subjects were assigned on two groups. In addition, we simulated our experiment. Supposing that the preference scores for each image and the assignment of subjects to the groups were given, we provided artificial answers and analyzed them by the same procedure described above. As a result, we found that the experiment can estimate each group's preference well.
