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      Comparison Between the Facial Flow Lines of Androids and Humans

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          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.

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          Splines minimizing rotation-invariant semi-norms in Sobolev spaces

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            The uncanny advantage of using androids in cognitive and social science research

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              A brief description of natural neighbor interpolation

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                Author and article information

                Contributors
                Journal
                Front Robot AI
                Front Robot AI
                Front. Robot. AI
                Frontiers in Robotics and AI
                Frontiers Media S.A.
                2296-9144
                22 March 2021
                2021
                : 8
                : 540193
                Affiliations
                [ 1 ]Graduate School of Engineering, Osaka University, Suita, Japan
                [ 2 ]JST Sakigake/Presto, Tokyo, Japan
                [ 3 ]Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
                Author notes

                Edited by: Nadia Magnenat Thalmann, Université de Genève, Switzerland

                Reviewed by: Muhammad Raheel Afzal, Flanders Make, Belgium

                Kerstin Sophie Haring, University of Denver, United States

                *Correspondence: Hisashi Ishihara, ishihara@ 123456ams.eng.osaka-u.ac.jp

                This article was submitted to Humanoid Robotics, a section of the journal Frontiers in Robotics and AI

                Article
                540193
                10.3389/frobt.2021.540193
                8019968
                79af267d-0d7b-41f9-9359-8abade6a4f00
                Copyright © 2021 Ishihara, Iwanaga and Asada.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 March 2020
                : 27 January 2021
                Funding
                Funded by: Japan Science and Technology Agency 10.13039/501100002241
                Categories
                Robotics and AI
                Original Research

                android robot,facial expression,displacement,human face,flow lines,affetto,motion capture system analysis

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