Building artificial humans to understand humans
- 498 Downloads
If we could build an android as a very humanlike robot, how would we humans distinguish a real human from an android? The answer to this question is not so easy. In human–android interaction, we cannot see the internal mechanism of the android, and thus we may simply believe that it is a human. This means that a human can be defined from two perspectives: one by organic mechanism and the other by appearance. Further, the current rapid progress in artificial organs makes this distinction confusing. The approach discussed in this article is to create artificial humans with humanlike appearances. The developed artificial humans, an android and a geminoid, can be used to improve understanding of humans through psychological and cognitive tests conducted using the artificial humans. We call this new approach to understanding humans android science.
Key wordsRobot Android Geminoid Cognitive science
Unable to display preview. Download preview PDF.
- 2.Reeves, B, Nass, C 1996The media equationCSLI/Cambridge University PressNYGoogle Scholar
- 9.Ishiguro H. Android science: toward a new cross-disciplinary framework. In: Proceedings of Toward Social Mechanisms of Android Science: A CogSci 2005 Workshop, July 25–26, 2005, Stresa, Italy, 2005;1–6Google Scholar
- 11.Ishiguro H. Distributed vision system: a perceptual information infrastructure for robot navigation. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), August 23–29, 1997, Nagoya, Japan, 1997;36–41Google Scholar
- 12.Ikeda T, Ishida T. Ishiguro H. Framework of distributed audition. In: Proceedings of the 13th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN), September 20–22, 2004, Kurashiki, Japan, 2004;77–82Google Scholar
- 13.Ishiguro H Nishimura T. VAMBAM: view and motion based aspect models for distributed omnidirectional vision systems. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), August 4–10, 2001, Seattle, WA, USA, 2001;1375–1380Google Scholar