首页|Concordia University Reports Findings in Robotics (Children’s anthropomorphism o f inanimate agents)

Concordia University Reports Findings in Robotics (Children’s anthropomorphism o f inanimate agents)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Quebec, Canada, by NewsRx edit ors, research stated, “This review article examines the extant literature on ani mism and anthropomorphism in infants and young children. A substantial body of w ork indicates that both infants and young children have a broad concept of what constitutes a sentient agent and react to inanimate objects as they do to people in the same context.” Our news journalists obtained a quote from the research from Concordia Universit y, “The literature has also revealed a developmental pattern in which anthropomo rphism decreases with age, but social robots appear to be an exception to this p attern. Additionally, the review shows that children attribute psychological pro perties to social robots less so than people but still anthropomorphize them. Im portantly, some research suggests that anthropomorphism of social robots is depe ndent upon their morphology and human-like behaviors. The extent to which childr en anthropomorphize robots is dependent on their exposure to them and the presen ce of human-like features. Based on the existing literature, we conclude that in infancy, a large range of inanimate objects (e.g., boxes, geometric figures) th at display animate motion patterns trigger the same behaviors observed in child- adult interactions, suggesting some implicit form of anthropomorphism. The revie w concludes that additional research is needed to understand what infants and ch ildren judge as social agents and how the perception of inanimate agents changes over the lifespan. As exposure to robots and virtual assistants increases, futu re research must focus on better understanding the full impact that regular inte ractions with such partners will have on children’s anthropomorphizing.”

QuebecCanadaNorth and Central Americ aEmerging TechnologiesMachine LearningNano-robotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.8)