{"id":7264,"date":"2016-04-27T18:36:05","date_gmt":"2016-04-27T18:36:05","guid":{"rendered":"http:\/\/www.kurzweilai.net\/?p=278808"},"modified":"2016-04-28T02:59:17","modified_gmt":"2016-04-28T02:59:17","slug":"do-you-trust-robots","status":"publish","type":"post","link":"https:\/\/hoo.central12.com\/fugic\/2016\/04\/27\/do-you-trust-robots\/","title":{"rendered":"Do you trust robots?"},"content":{"rendered":"
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Would you trust this robot? (credit: Rethink Robotics)<\/p><\/div>\n

Trust in robots is a critical component in safety that requires study, says MIT\u00a0Professor Emeritus Thomas B. Sheridan<\/a> in an open-access study published in Human Factors<\/em> journal.<\/p>\n

For decades, he has studied humans and automation and in each case, he noted significant human factors challenges — particularly concerning safety. He looked at self-driving cars and highly automated transit systems; routine tasks such as the delivery of packages in Amazon warehouses; devices that handle tasks in hazardous or inaccessible environments, such as the Fukushima nuclear plant; and robots that engage in social interaction (Barbies).<\/p>\n

For example, no human driver, he claims, will stay alert to take over control of a self-driving car quickly enough should the automation fail. Nor does self-driving car technology consider the value of social interaction between drivers such as eye contact and hand signals. And would airline passengers be happy if computerized monitoring replaced the second pilot?<\/p>\n

Designing a robot to move an elderly person in and out of bed would potentially reduce back injuries among human caregivers, but questions abound as to what physical form that robot should take, and hospital patients may be alienated by robots delivering their food trays. The ability of robots to learn from human feedback is an area that demands human factors research, as is understanding how people of different ages and abilities best learn from robots.<\/p>\n

Sheridan also challenges the human factors community to address the inevitable trade-offs: the possibility of robots providing jobs rather than taking them away, robots as assistants that can enhance human self-worth instead of diminishing it, and the role of robots to improve rather than jeopardize security.<\/p>\n

\n

Abstract of\u00a0Human\u2013Robot Interaction:\u00a0Status and Challenges<\/em><\/h4>\n

Objective:\u00a0The current status of human\u2013robot interaction (HRI) is reviewed, and key current research challenges for the human factors community are described.<\/p>\n

Background:\u00a0Robots have evolved from continuous human-controlled master\u2013slave servomechanisms for handling nuclear waste to a broad range of robots incorporating artificial intelligence for many applications and under human supervisory control.<\/p>\n

Methods:\u00a0This mini-review describes HRI developments in four application areas and what are the challenges for human factors research.<\/p>\n

Results:\u00a0In addition to a plethora of research papers, evidence of success is manifest in live demonstrations of robot capability under various forms of human control.<\/p>\n

Conclusions:\u00a0HRI is a rapidly evolving field. Specialized robots under human teleoperation have proven successful in hazardous environments and medical application, as have specialized telerobots under human supervisory control for space and repetitive industrial tasks. Research in areas of self-driving cars, intimate collaboration with humans in manipulation tasks, human control of humanoid robots for hazardous environments, and social interaction with robots is at initial stages. The efficacy of humanoid general-purpose robots has yet to be proven.<\/p>\n

Applications:\u00a0HRI is now applied in almost all robot tasks, including manufacturing, space, aviation, undersea, surgery, rehabilitation, agriculture, education, package fetch and delivery, policing, and military operations.<\/p>\n","protected":false},"excerpt":{"rendered":"

Trust in robots is a critical component in safety that requires study, says MIT Professor Emeritus Thomas B. Sheridan in an open-access study published in Human Factors journal. For decades, he has studied humans and automation and in each case, he noted significant human factors challenges — particularly concerning safety. He looked at self-driving cars and […]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46,43],"tags":[],"class_list":["post-7264","post","type-post","status-publish","format-standard","hentry","category-airobotics","category-news"],"_links":{"self":[{"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/posts\/7264"}],"collection":[{"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/comments?post=7264"}],"version-history":[{"count":2,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/posts\/7264\/revisions"}],"predecessor-version":[{"id":7292,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/posts\/7264\/revisions\/7292"}],"wp:attachment":[{"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/media?parent=7264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/categories?post=7264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hoo.central12.com\/fugic\/wp-json\/wp\/v2\/tags?post=7264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}