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Physical Sciences and Mathematics Commons

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Brigham Young University

Theses/Dissertations

2014

Human-Robot Interaction

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Using A Model Of Temporal Latency To Improve Supervisory Control Of Human-Robot Teams, Kyle Lee Blatter Jul 2014

Using A Model Of Temporal Latency To Improve Supervisory Control Of Human-Robot Teams, Kyle Lee Blatter

Theses and Dissertations

When humans and remote robots work together on a team, the robots always interact with a human supervisor, even if the interaction is limited to occasional reports. Distracting a human with robotic interactions doesn't pose a problem so long as the inclusion of robots increases the team's overall effectiveness. Unfortunately, increasing the supervisor's cognitive load may decrease the team's sustainable performance to the point where robotic agents are more a liability than an asset. Present approaches resolve this problem with adaptive autonomy, where a robot changes its level of autonomy based on the supervisor's cognitive load. This thesis proposes to …


Managing Autonomy By Hierarchically Managing Information: Autonomy And Information At The Right Time And The Right Place, Rongbin Lin Mar 2014

Managing Autonomy By Hierarchically Managing Information: Autonomy And Information At The Right Time And The Right Place, Rongbin Lin

Theses and Dissertations

When working with a complex AI or robotics system in a specific application, users often need to incorporate their special domain knowledge into the autonomous system. Such needs call for the ability to manage autonomy. However, managing autonomy can be a difficult task because the internal mechanisms and algorithms of the autonomous components may be beyond the users' understanding. We propose an approach where users manage autonomy indirectly by managing information provided to the intelligent system hierarchically at three different temporal scales: strategic, between-episodes, and within-episode. Information management tools at multiple temporal scales allow users to influence the autonomous behaviors …