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Creators/Authors contains: "Glenn, Terrell"

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  1. null (Ed.)
    Makerspaces can support educational experiences in prototyping for children. Storytelling platforms enable high levels of creativity and expression, but have high barriers of entry. We introduce StoryMakAR, which combines making and storytelling. StoryMakAR is a new AR-IoT system for children that uses block programming, physical prototyping, and event-based storytelling to bring stories to life. We reduce the barriers to entry for youth (Age=14-18) by designing an accessible, plug-and-play system through merging both electro-mechanical devices and virtual characters to create stories. We describe our initial design process, the evolution and workflow of StoryMakAR, and results from multiple single-session workshops with 33 high school students. Our preliminary studies led us to understand what students want to make. We provide evidence of how students both engage and have difficulties with maker-based storytelling. We also discuss the potential for StoryMakAR to be used as a learning environment for classrooms and younger students. 
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  2. null (Ed.)
    Ani-Bot is a modular robotics system that allows users to control their DIY robots using Mixed-Reality Interaction (MRI). This system takes advantage of MRI to enable users to visually program the robot through the augmented view of a Head-Mounted Display (HMD). In this paper, we first explain the design of the Mixed-Reality (MR) ready modular robotics system, which allows users to instantly perform MRI once they finish assembling the robot. Then, we elaborate the augmentations provided by the MR system in the three primary phases of a construction kit's lifecycle: Creation, Tweaking, and Usage. Finally, we demonstrate Ani-Bot with four application examples and evaluate the system with a two-session user study. The results of our evaluation indicate that Ani-Bot does successfully embed MRI into the lifecycle (Creation, Tweaking, Usage) of DIY robotics and that it does show strong potential for delivering an enhanced user experience. 
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  3. We present Ani-Bot, a modular robotics system that allows users to construct Do-It-Yourself (DIY) robots and use mixed-reality approach to interact with them. Ani-Bot enables novel user experience by embedding Mixed-Reality Interaction (MRI) in the three phases of interacting with a modular construction kit, namely, Creation, Tweaking, and Usage. In this paper, we first present the system design that allows users to instantly perform MRI once they finish assembling the robot. Further, we discuss the augmentations offered by MRI in the three phases in specific. 
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