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- W2520812871 abstract "Robots are a unique form of technology thathold the potential to significantly affect society as they becomemore widespread in everyday life. Currently, they are in use indomains including healthcare, rehabilitation, assisted living,entertainment, education, and homes. Within these domains, robotsinteract with people from all kinds of backgrounds. Each person has a large set of qualities thatmake them unique. These qualities affect both how people perceiverobots, and also how robots perceive people. Furthermore, theenvironmental context in which robots and people are collaboratingcan also play a role in this mutual behavioral understanding. Thus,to ensure robots are both functional and well-accepted, roboticistsshould consider taking these factors into account. The motivation of my research is to designadaptable, intelligent, social robots, able to sense and respond topeople contingently and appropriately. This will enable moreintuitive interaction between robots and people. I focusspecifically on identifying human behavioral metrics which futurerobots could one day be trained to identify as a means for enablingthis understanding. This dissertation outlinesfour human-robot interaction (HRI) experiments which explore humanbehavioral metrics. The first experiment highlights differences inhow people perceive gestures and speech by a humanoid robot actorcompared to a human actor. The second experiment centers on a robotthat initiates interactions with people, with the objective ofcollecting naturalistic data to determine social context. The thirdexperiment focuses on how personality traits may affect patiencewhen teaching an autonomous, mistake-prone robot. The lastexperiment explores how human teachers respond to both correct andincorrect robot actions to eventually allow robots to automaticallydetect when they have made a mistake. My workhas multiple contributions for HRI. First, I identify keydifferences between peoples perceptions of robot and humanbehavior, which are important to consider when programming robotcommunicative expressions. Second, I explore how multipledimensions of human personality affect HRI, which differs fromprevious HRI work that focused on only one or two dimensions at atime. During the course of my work, I builtautonomous robots that robustly responded to people in real-time,as opposed to the majority of HRI research that involvesoperator-control robots. My third contribution is to describe thesesystems, and identify the advantages and challenges inherent inthis kind of research. Fourth, I discover ways that robots canenable human teachers by providing feedback to assist in thelearning process, which is is a necessary step to achieve natural,efficient, and fluid interactions with adaptable robots. I alsodesigned two experimental testbeds which focus on peoples responsesto robot mistakes, which help enable future research in this area. The analysis of observable human actions willenable the creation of…" @default.
- W2520812871 created "2016-09-23" @default.
- W2520812871 creator A5009747079 @default.
- W2520812871 date "2015-11-30" @default.
- W2520812871 modified "2023-09-27" @default.
- W2520812871 title "Building adaptable robots: How behavioral metrics can enable robots to implicitly learn from humans" @default.
- W2520812871 hasPublicationYear "2015" @default.
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