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Filtering by: Creator Sakaguchi, Naomi K. Remove constraint Creator: Sakaguchi, Naomi K. Advisor Fitter, Naomi T. Remove constraint Advisor: Fitter, Naomi T.

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  • Creating and Assessing Cozmo Behaviors for Expressing Emotion

    Creator:
    Chan, Lilian C.
    Abstract:
    As human-robot interaction becomes more commonplace, roboticists should understand how robot behaviors are perceived by people to avoid misunderstandings. In our lab, we are exploring the use of a Cozmo as an interactive, break-taking aid in workplace settings. Before our interactive aid can be released into the wild, we must...
    Resource Type:
    Honors College Thesis
    Full Text:
    Abstract approved: Naomi Fitter As human-robot interaction becomes more commonplace, roboticists should

  • Exploring the Effects of Voice Humanness and Canned Laughter on Robot Comedy Performance

    Creator:
    Bui, Timothy G.
    Abstract:
    With robots becoming increasingly commonplace in today’s society, we need to find ways to help robots to become better accepted. One common method used to gain acceptance and build rapport is through the use of humor. Currently, research in robot comedy exists, albeit it is fairly limited. Our goal with...
    Resource Type:
    Honors College Thesis
    Full Text:
    Robot Comedy Performance Abstract approved: Naomi Fitter With robots becoming increasingly

  • Designing and Evaluating Applications of Vibrotactile Feedback

    Creator:
    Quick, Ryan R.
    Abstract:
    Relative to visual and audible communication, haptic perception is quiet, does not require eye contact, can be applied at any point on the human body, and can function in parallel with the other four human senses. Vibrotactile feedback is a method of haptic communication using vibrations applied to the skin....
    Resource Type:
    Masters Thesis
    Full Text:
    Applications of Vibrotactile Feedback Abstract approved: Naomi Fitter Relative to visual and audible

  • Toward Machine Learning-Enabled Adaptivity for Humorous Robots

    Creator:
    Gray, Carson C.
    Abstract:
    Social robots benefit from a sense of humor, which requires the ability to recognize and adapt to human responses during playful interactions. Past work on humorous robots has classified audience responses with audio-based and preliminary visual-based methods following the joke punchline. Building on this progress, we conducted a survey of...
    Resource Type:
    Masters Thesis
    Full Text:
    Learning-Enabled Adaptivity for Humorous Robots Abstract approved: Naomi Fitter Social robots benefit