Comparison Between the Facial Flow Lines of Androids and Humans

Author:

Ishihara Hisashi,Iwanaga Saneyuki,Asada Minoru

Abstract

The behavior of an android robot face is difficult to predict because of the complicated interactions between many and various attributes (size, weight, and shape) of system components. Therefore, the system behavior should be analyzed after these components are assembled to improve their performance. In this study, the three-dimensional displacement distributions for the facial surfaces of two android robots were measured for the analysis. The faces of three adult males were also analyzed for comparison. The visualized displacement distributions indicated that the androids lacked two main deformation features observed in the human upper face: curved flow lines and surface undulation, where the upstream areas of the flow lines elevate. These features potentially characterize the human-likeness. These findings suggest that innovative composite motion mechanisms to control both the flow lines and surface undulations are required to develop advanced androids capable of exhibiting more realistic facial expressions. Our comparative approach between androids and humans will improve androids’ impressions in future real-life application scenes, e.g., receptionists in hotels and banks, and clerks in shops.

Funder

Japan Science and Technology Agency

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference23 articles.

1. The design of an expressive humanlike socially assistive robot;Allison;J. Mech. Robot.,2009

2. Design and implementation of the bio-inspired facial expressions for medical mannequin;Baldrighi;Int. J. Soc. Robot.,2014

3. My robotic doppelgannger–a critical look at the uncanny valley;Bartneck,2009

4. Evaluating facial displays of emotion for the android robot Geminoid F;Becker-Asano,2011

5. Control of facial expressions of the humanoid robot head ROMAN;Berns,2006

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