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

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

doi:10.1504/IJMA.2022.123892

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

Lichang Yao, Qi Dai, Yiyang Yu, Yuki Nishioka, Qiong Wu, Jiajia Yang, Satoshi Takahashi, Yoshimichi Ejima, Jinglong Wu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	134-141
Number of pages	8
Journal	International Journal of Mechatronics and Automation
Volume	9
Issue number	3
DOIs	https://doi.org/10.1504/IJMA.2022.123892
Publication status	Published - 2022
Externally published	Yes

Keywords

baby schema
humanisation services
infants
robots

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10.1504/IJMA.2022.123892

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title = "Investigating the difference of face distinction between adult and infant for the design of service robots",

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 = "baby schema, humanisation services, infants, robots",

author = "Lichang Yao and Qi Dai and Yiyang Yu and Yuki Nishioka and Qiong Wu and Jiajia Yang and Satoshi Takahashi and Yoshimichi Ejima and Jinglong Wu",

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T1 - Investigating the difference of face distinction between adult and infant for the design of service robots

AU - Yao, Lichang

AU - Dai, Qi

AU - Yu, Yiyang

AU - Nishioka, Yuki

AU - Wu, Qiong

AU - Yang, Jiajia

AU - Takahashi, Satoshi

AU - Ejima, Yoshimichi

AU - Wu, Jinglong

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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

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Keywords

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