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Department: search.filters.department.Department of Business AdministrationSubject: search.filters.subject.Robotics

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    Competing with or against cozmo, the robot: influence of interaction context and outcome on mind perception
    (Springer, 2021) N/A; Department of Business Administration; N/A; Department of Business Administration; Department of Psychology; Lefkeli, Deniz; Özbay, Yağmur; Canlı, Zeynep Gürhan; Eskenazi, Terry; Teaching Faculty; Master Student; Faculty Member; Faculty Member; Department of Business Administration; Department of Psychology; College of Administrative Sciences and Economics; Graduate School of Social Sciences and Humanities; College of Administrative Sciences and Economics; College of Social Sciences and Humanities; N/A; N/A; 16135; 258780
    With the rise of integration of robots in our daily lives, people find their own ways of normalizing their interaction with artificial agents, one of which is attributing mind to them. Research has shown that attributing mind to an artificial agent improves the flow of the interaction and alters behavior following it. However, little is known about the the influence of the interaction context and the outcome of the interaction. Addressing this gap in the literature, we explored the influence of theInteraction Context(cooperation vs. competition) andOutcome(win vs. lose) on the attributed levels of mind to an artificial agent. To that end, we used an interactive game that consisted of trivia questions between teams of human participants and the robot Cozmo. We found that in the cooperation condition, those who lost as a team ascribed greater levels of mind to the agent compared to those who won as a team. However, participants who competed with and won against the robot attributed greater levels of mind to the agent compared to those who cooperated and won as a team. These results suggest that people attribute mind to artificial agents in a self-serving way, depending on the interaction context and outcome.
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    Part transfer mode selection in a cyclic mixed-model line
    (IEEE-Inst Electrical Electronics Engineers Inc, 2000) N/A; Department of Business Administration; Karabatı, Selçuk; Faculty Member; Department of Business Administration; College of Administrative Sciences and Economics; 38819
    This paper considers the transfer mode selection problem (TMSP) in a mixed-model assembly line which is operated under a cyclic scheduling policy. Assembly fines are mostly designed for the synchronous transfer mode. There is a change in the assembly technology toward the nonsynchronous transfer mode which offers higher production rates than ifs synchronous counterpart. In this paper, a model for determining the cycle time of a mixed-transfer mode assembly line is presented. The TMSP in a mixed-model assembly line is then formulated as a mixed-integer program. Computational results on performance comparisons of different transfer mode configurations are presented.