Find Out Your Own Face!
Table of Contents
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About #
“Find Out Your Own Face!” is a workshop on the theme of “Face Memory.”
This workshop will use the “Accidental Resemblance Generator (ARG).” This software can change one’s face into an “otherized face” by changing the facial features such as the position and size of eyebrows, eyes, nose, and mouth and the shape of facial contours. This can be done using the algorithm to change one’s face as if it can be perceived as another person’s face, which is the result of our research (Kawase et al., 2016).
At the beginning of the workshop, the faces of participants are photographed, and they are transformed into several types of “otherized faces” using ARG. Then, the participants are asked to guess the original face (no transformation) included among them. Based on the results, the participants discuss which facial features are affected by recognition of the face and whether the relationship with the person makes a difference in facial recognition. The difference between the physical face (= face reflected in the mirror) and the face in memory (= face reflected in mind) provides a deeper understanding of the mechanisms of face perception and memory.
In July 2016, the Japanese Psychological Association, the City of Yokohama, the International Congress of Psychology, and the Japanese Association of Basic Psychology co-sponsored the “Face Memory Experiment: Find Your Own Face! Faces in the Mirror, Faces in the Mind” was held. Many interesting comments were received from participants, such as “I enjoyed learning about the characteristics of human memory and research methods. Other workshops using ARG have also been held at Ars Electronica, Contemporary Art Museum Kumamoto, Grand Front Osaka, receiving favorable reviews.
In addition, an interactive exhibit is installed at the NTT InterCommunication Center [ICC]. https://www.ntticc.or.jp/en/archive/works/find-out-your-own-face/
Publications #
- (Ja) Yuji Kawase, Shigeo Yoshida, Takuji Narumi, Sachiyo Ueda, Masami Ikeda, Junji Watanabe, Tomohiro Tanikawa, Testuya Kawamoto, and Michitaka Hriseo. 2016. Mob Scene Filter: Conversion of Facial Appearance by Changing Position and Size of Facial Regions. Transactions of the Virtual Reality Society of Japan、Vol.21 No.3 pp.483-492. https://doi.org/10.18974/tvrsj.21.3_483
Awards and Honors #
Related Projects #