Visualization of Crowd-Powered Impression Evaluation Results

There have been many collective knowledge on the Web, such as evaluation of restaurants, hotels, and manufactured products. Even though each of the participants on such Web sites usually just evaluate the small number of contents, these kinds of crowd-powered contents evaluation services bring us fruitful information. Visualization is a useful tool to carefully observe the evaluation results and discover complex trends of the evaluation. This paper presents our study on visualization of the crowd-powered contents evaluation. Firstly we developed a contents evaluation technique applying an interactive genetic algorithm, which presents contents estimated to be highly or poorly evaluated. Then we had a case study with various appearances of female face images to collect the evaluations. Finally, we visualized the result by applying an image browser CAT. This paper discusses how the visualization result depicts the trends of the evaluation on appearance of women.