Robotics & Machine Learning Daily News2024,Issue(Mar.1) :100-101.DOI:10.1111/cdev.14048

Investigators at Singapore University of Technology and Design Describe Findings in Robotics (Younger, Not Older, Children Trust an Inaccurate Human Informant More Than an Inaccurate Robot Informant)

Robotics & Machine Learning Daily News2024,Issue(Mar.1) :100-101.DOI:10.1111/cdev.14048

Investigators at Singapore University of Technology and Design Describe Findings in Robotics (Younger, Not Older, Children Trust an Inaccurate Human Informant More Than an Inaccurate Robot Informant)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting originating from Singapore, Singapore, by NewsRx correspondents, research stated, “This study examined preschoolers’ trust toward accurate and inaccurate robot informants versus human informants. Singaporean children aged 3-5 years (N = 120, 57 girls, mostly Asian; data collected from 2017 to 2018) viewed either a robot or a human adult label familiar objects either accurately or inaccurately.” Financial supporters for this research include Singapore University of Technology & Design, Safari House Preschool, MacPherson Sheng Hong Childcare Centre. Our news editors obtained a quote from the research from the Singapore University of Technology and Design, “Children’s trust was assessed by examining their subsequent willingness to accept novel object labels provided by the same informant. Regardless of age, children trusted accurate robots to a similar extent as accurate humans. However, while older children (dis)trusted inaccurate robots and humans comparably, younger children trusted inaccurate robots less than inaccurate humans.”According to the news editors, the research concluded: “The results indicate a developmental change in children’s reliance on informants’ characteristics to decide whom to trust.” This research has been peer-reviewed.

Key words

Singapore/Singapore/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Singapore University of Technology and Design

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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