Robotics & Machine Learning Daily News2024,Issue(MAY.31) :54-55.

Research Conducted at Linnaeus University Has Updated Our Knowledge about Roboti cs (The Robot Saw It Coming: Physical Human Interference, Deservingness, and Sel f-efficacy In Service Robot Failures)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :54-55.

Research Conducted at Linnaeus University Has Updated Our Knowledge about Roboti cs (The Robot Saw It Coming: Physical Human Interference, Deservingness, and Sel f-efficacy In Service Robot Failures)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Vaxjo, Sweden, by NewsRx edit ors, research stated, “Robotic services’ popularity continues to increase due to technological advancements, labour shortages, and global crises. Yet, while pro viding these services, robots are subject to occasional physical interruption by humans to them, thus restricting their functioning and, at times, leading to fa ilure.” Our news journalists obtained a quote from the research from Linnaeus University , “To investigate this issue, the present study examined the role of third-party human interference in service robot failures and its effects on the observers’ attitudes towards and willingness to engage with the robot. We manipulated human interference resulting in different robotic service failures in two online scen ario-based experiments. The results revealed that individuals held less favourab le attitudes towards a failed service robot without (vs. with) physical human in terference, and they were less willing to engage with the failed service robot w ithout (vs. with) physical human interference. The perceived deservingness of th e robot accounted for this effect, moderated by the person’s self-efficacy regar ding robots.”

Key words

Vaxjo/Sweden/Europe/Emerging Technolo gies/Machine Learning/Nano-robot/Robot/Robotics/Robots/Linnaeus University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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