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Design007-Sep2021

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SEPTEMBER 2021 I DESIGN007 MAGAZINE 59 PCB Carolina November 10, 2021 Raleigh, North Carolina AltiumLive 2022 January 26–28, 2022 San Diego, California IPC APEX EXPO 2022 January 22–27, 2022 San Diego, California PCB East 2022 April 11–13, 2022 Marlborough, Massachusetts Spread the word. If you have a significant electronics industry event that you would like to announce, please send me the details at kelly.dack.pcea@gmail.com, and we will con- sider adding it to the list. Refer to our column and pce-a.org for upcom- ing industry events. If you have not yet joined the PCEA collective, please visit our website and find out how to become a PCEA member. Conclusion We've all been waiting for our industry to cease contraction and expand back to a form so robust that it will enable the flow of infor- mation and ideas again. How great it was to experience this through our PCEA represen- tation at DesignCon last month. Now is the time to tap in to the PCEA for what is coming your way in the future. As Steph indicates, this organization is committed to participation in the trade show industry and to reach out with educational support to its membership. Who knows what great educational, presentational, and organizational endeavors will grow from the PCEA by placing a simple blue trade-show booth on a show floor? I am excited to hear about any potentially historic and monumen- tal leadership opportunities which may come about in the trade show industry as the PCEA sets up its next event right around the cor- ner. Could we be looking forward to any big announcements? Yes, please. See you next month or sooner. DESIGN007 Kelly Dack, CIT, CID+, is the communication officer for the Printed Circuit Engineering Association (PCEA). To read past columns or contact Dack, click here. was anthropomorphic or more humanlike, the other more mechanical in appearance. The robots were programed to intentionally pick up a few wrong boxes and to make one of the following trust repair statements: "I'm sorry I got the wrong box" (apology), "I picked the correct box so something else must have gone wrong" (denial), "I see that was the wrong serial number" (explanation), or "I'll do better next time and get the right box" (promise). When the robot was more humanlike, trust was even easier to restore for integrity when explanations were given and for benevolence when apologies, denials and explanations were offered. Esterwood said this study is ongoing with more research ahead involving other combinations of trust repairs in different contexts, with other violations. (Source: University of Michigan) When robots make mistakes, reestablishing trust with human co-workers depends on how the machines own up to the errors and how human- like they appear, according to University of Michi- gan research. "Robots are definitely a technology but their inter- actions with humans are social and we must account for these social interactions if we hope to have humans comfortably trust and rely on their robot co- workers," said Lionel Robert, associate professor at the U-M School of Information. Robert and doctoral student Connor Esterwood recruited 164 participants to work with a robot in a virtual environment, loading boxes onto a conveyor belt. The human was the quality assurance person, working alongside a robot tasked with reading serial numbers and loading 10 specific boxes. One robot Robots Who Goof: Can We Trust Them Again?

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