@InProceedings{Marques2013, author = {Marques, Oge and Snyder, Justyn and Lux, Mathias}, booktitle = {CHI '13 Extended Abstracts on Human Factors in Computing Systems}, title = {How Well Do You Know Tom Hanks?: Using a Game to Learn About Face Recognition}, year = {2013}, address = {New York, USA}, editor = {Mackay, W and Brewster, St and Bodker, S}, month = {jan}, pages = {337--342}, publisher = {ACM}, series = {CHI EA '13}, abstract = {Human face recognition abilities vastly outperform computer-vision algorithms working on comparable tasks, especially in the case of poor lighting, bad image quality, or partially hidden faces. In this paper, we describe a novel game with a purpose in which players must guess the name of a celebrity whose face appears blurred. The game combines a successful casual game paradigm with meaningful applications in both human- and computer-vision science. Preliminary user studies were conducted with 28 users and more than 7,000 game rounds. The results supported and extended pre-existing knowledge and hypotheses from controlled scientific experiments, which show that humans are remarkably good at recognizing famous faces, even with a significant degree of blurring. Our results will be further incorporated into research in human vision as well as machine-learning and computer-vision algorithms for face recognition.}, doi = {10.1145/2468356.2468416}, keywords = {computer vision, face recognition, games, human vision}, language = {EN}, talktype = {none}, url = {http://doi.acm.org/10.1145/2468356.2468416} }