Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots
Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade areas of the planet. Thus, developing RHRs with h...
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doaj-5138424be2dc4005b35d29e5d8f6a4582020-11-25T03:34:45ZengMDPI AGInformatics2227-97092020-07-017282810.3390/informatics7030028Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid RobotsCarl Strathearn0Minhua Ma1School of Computing and Digital Technologies, Staffordshire University, Staffordshire ST4 2DE, UKFalmouth University, Penryn Campus, Penryn TR10 9FE, UKRealistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade areas of the planet. Thus, developing RHRs with high degrees of human-likeness provides a life-like vessel for humans to physically and naturally interact with technology in a manner insurmountable to any other form of non-biological human emulation. This study outlines a human–robot interaction (HRI) experiment employing two automated RHRs with a contrasting appearance and personality. The selective sample group employed in this study is composed of 20 individuals, categorised by age and gender for a diverse statistical analysis. Galvanic skin response, facial expression analysis, and AI analytics permitted cross-analysis of biometric and AI data with participant testimonies to reify the results. This study concludes that younger test subjects preferred HRI with a younger-looking RHR and the more senior age group with an older looking RHR. Moreover, the female test group preferred HRI with an RHR with a younger appearance and male subjects with an older looking RHR. This research is useful for modelling the appearance and personality of RHRs with EAI for specific jobs such as care for the elderly and social companions for the young, isolated, and vulnerable.https://www.mdpi.com/2227-9709/7/3/28embodied artificial intelligencerealistic humanoid robotshuman–robot interactionhuman–computer interaction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carl Strathearn Minhua Ma |
spellingShingle |
Carl Strathearn Minhua Ma Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots Informatics embodied artificial intelligence realistic humanoid robots human–robot interaction human–computer interaction |
author_facet |
Carl Strathearn Minhua Ma |
author_sort |
Carl Strathearn |
title |
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots |
title_short |
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots |
title_full |
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots |
title_fullStr |
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots |
title_full_unstemmed |
Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots |
title_sort |
modelling user preference for embodied artificial intelligence and appearance in realistic humanoid robots |
publisher |
MDPI AG |
series |
Informatics |
issn |
2227-9709 |
publishDate |
2020-07-01 |
description |
Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade areas of the planet. Thus, developing RHRs with high degrees of human-likeness provides a life-like vessel for humans to physically and naturally interact with technology in a manner insurmountable to any other form of non-biological human emulation. This study outlines a human–robot interaction (HRI) experiment employing two automated RHRs with a contrasting appearance and personality. The selective sample group employed in this study is composed of 20 individuals, categorised by age and gender for a diverse statistical analysis. Galvanic skin response, facial expression analysis, and AI analytics permitted cross-analysis of biometric and AI data with participant testimonies to reify the results. This study concludes that younger test subjects preferred HRI with a younger-looking RHR and the more senior age group with an older looking RHR. Moreover, the female test group preferred HRI with an RHR with a younger appearance and male subjects with an older looking RHR. This research is useful for modelling the appearance and personality of RHRs with EAI for specific jobs such as care for the elderly and social companions for the young, isolated, and vulnerable. |
topic |
embodied artificial intelligence realistic humanoid robots human–robot interaction human–computer interaction |
url |
https://www.mdpi.com/2227-9709/7/3/28 |
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