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Understanding Humans to Better Understand Robots in a Joint-Task Environment: The Study of Surprise and Trust in Human-Machine Physical Coordination

Abstract Human-robot interaction has expanded immensely within dynamic environments. The goals of human-robot interaction are to increase productivity, efficiency and safety. In order for the integration of human-robot interaction to be seamless and effective humans must be willing to trust the capabilities of assistive robots. A major priority for human-robot interaction should be to understand how human dyads have been historically effective within a joint-task setting. This will ensure that all goals can be met in human robot settings. The aim of the present study was to examine human dyads and the effects of an unexpected interruption. Humans’ interpersonal and individual levels of trust were studied in order to draw appropriate conclusions. Sev... (more)
Created Date 2019
Contributor Shaw, Alexandra Luann (Author) / Chiou, Erin (Advisor) / Cooke, Nancy (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Subject Psychology / Human Dyads / Human Factors / Human Robot Interaction / Joint task environments / Surprise / Trust
Type Masters Thesis
Extent 50 pages
Language English
Note Masters Thesis Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis