Title: Investigating the difference of face distinction between adult and infant for the design of service robots

Authors: Lichang Yao; Qi Dai; Yiyang Yu; Yuki Nishioka; Qiong Wu; Jiajia Yang; Satoshi Takahashi; Yoshimichi Ejima; Jinglong Wu

Addresses: The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan; School of Education, Suzhou University of Science and Technology, Binhe Road 1701, Suzhou, China ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan ' The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-naka, Okayama, 700-8530, Japan

Abstract: People's requirements for service robots are gradually increasing as their application scope expands and science and technology advance. When facing multiple objects, orderly service can no longer meet the needs of customers. Searching for clients in greater need and providing humanised services in a timely manner is a new task. This study uses human behaviour as a learning blueprint to investigate whether adults can respond quickly to infants. The results show that humans can respond quickly to infants. This could lead to the development of humanised service robots that prioritise infants as service objects and provide gentle service by recognising infant facial features.

Keywords: robots; humanisation services; infants; baby schema.

DOI: 10.1504/IJMA.2022.123892

International Journal of Mechatronics and Automation, 2022 Vol.9 No.3, pp.134 - 141

Received: 14 Sep 2021
Accepted: 29 Dec 2021
Published online: 04 Jul 2022 *

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