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Augmented reality (AR) is a unique hands-on learning tool that can help students in a pervasively misunderstood area of STEM learning, electrical circuitry. AR technology can help with the construction and debugging of circuits, leading to independent learning and reduced assistance. In this paper, we introduce ARbits, a DIY, AR-compatible electrical circuitry toolkit for children. This toolkit exposes children to the concepts of circuitry at an early age, with components that are easy for little hands to handle. We anticipate that instructors at makerspaces can use our designs to fabricate multiple electrical components for children. 

Current Computer-Aided Design (CAD) tools lack proper support for guiding novice users towards designs ready for fabrication. We propose Shape Structuralizer (SS), an interactive design support system that repurposes surface models into structural constructions using rods and custom 3Dprinted joints. Shape Structuralizer embeds a recommendation system that computationally supports the user during design ideation by providing design suggestions on local refinements of the design. This strategy enables novice users to choose designs that both satisfy stress constraints as well as their personal design intent. The interactive guidance enables users to repurpose existing surface mesh models, analyze them in-situ for stress and displacement constraints, add movable joints to increase functionality, and attach a customized appearance. This also empowers novices to fabricate even complex constructs while ensuring structural soundness. We validate the Shape Structuralizer tool with a qualitative user study where we observed that even novice users were able to generate a large number of structurally safe designs for fabrication. 

This study explores the use of mini-fabrication exercises for helping students learn design for rapid prototyping in computer-aided design and prototyping courses in engineering curricula. To this end, we conducted mini-fabrication exercises in ME444 — an undergraduate course at Purdue University. The exercises provide hands-on exposure to design for rapid prototyping principles using simplified design problems. We developed two mini-fabrication exercises in ME444; (i) gear pair design & box design using laser cutting, and (ii) toy catapult design using stereolithography printing. These exercises were tested in a classroom-setting with 51 undergraduate students. Results show the mini-fabrication exercises facilitated students’ learning of geometric dimensioning & tolerancing, part sizing, and material properties in laser cutting and stereolithography printing. 

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. 

The emerging simultaneous localizing and mapping (SLAM) based tracking technique allows the mobile AR device spatial awareness of the physical world. Still, smart things are not fully supported with the spatial awareness in AR. Therefore, we present Scenariot, a method that enables instant discovery and localization of the surrounding smart things while also spatially registering them with a SLAM based mobile AR system. By exploiting the spatial relationships between mobile AR systems and smart things, Scenariot fosters in-situ interactions with connected devices. We embed Ultra-Wide Band (UWB) RF units into the AR device and the controllers of the smart things, which allows for measuring the distances between them. With a one-time initial calibration, users localize multiple IoT devices and map them within the AR scenes. Through a series of experiments and evaluations, we validate the localization accuracy as well as the performance of the enabled spatial aware interactions. Further, we demonstrate various use cases through Scenariot. 

Many rapid fabrication technologies are directed towards layer wise printing or laser based prototyping. We propose WireFab, a rapid modeling and prototyping system that uses bent metal wires as the structure framework. WireFab approximates both the skeletal articulation and the skin appearance of the corresponding virtual skin meshes, and it allows users to personalize the designs by (1) specifying joint positions and part segmentations, (2) defining joint types and motion ranges to build a wire-based skeletal model, and (3) abstracting the segmented meshes into mixed-dimensional appearance patterns or attachments. The WireFab is designed to allow the user to choose how to best preserve the fidelity of the topological structure and articulation motion while selectively maintaining the fidelity of the geometric appearance. Compared to 3D-printing based high-fidelity fabrication systems, WireFab increases prototyping speed by ignoring unnecessary geometric details while preserving structural integrity and articulation motion. In addition, other rapid or low-fidelity fabrication systems produce only static models, while WireFab produces posable articulated models and has the potential to enable personalized functional products larger than the machines that produce them. 

We present, Window-Shaping, a tangible mixed-reality (MR) interaction metaphor for design ideation that allows for the direct creation of 3D shapes on and around physical objects. Using the sketch-and-inflate scheme, our metaphor enables quick design of dimensionally consistent and visually coherent 3D models by borrowing visual and dimensional attributes from existing physical objects without the need for 3D reconstruction or fiducial markers. Through a preliminary evaluation of our prototype application we demonstrate the expressiveness provided by our design workflow, the effectiveness of our interaction scheme, and the potential of our metaphor. 

We present RealFusion, an interactive workflow that supports early stage design ideation in a digital 3D medium. RealFusion is inspired by the practice of found-object-art, wherein new representations are created by composing existing objects. The key motivation behind our approach is direct creation of 3D artifacts during design ideation, in contrast to conventional practice of employing 2D sketching. RealFusion comprises of three creative states where users can (a) repurpose physical objects as modeling components, (b) modify the components to explore different forms, and (c) compose them into a meaningful 3D model. We demonstrate RealFusion using a simple interface that comprises of a depth sensor and a smartphone. To achieve direct and efficient manipulation of modeling elements, we also utilize mid-air interactions with the smartphone. We conduct a user study with novice designers to evaluate the creative outcomes that can be achieved using RealFusion. 

In this paper, we explore quick 3D shape composition during early-phase spatial design ideation. Our approach is to re-purpose a smartphone as a hand-held reference plane for creating, modifying, and manipulating 3D sweep surfaces. We implemented MobiSweep, a prototype application to explore a new design space of constrained spatial interactions that combine direct orientation control with indirect position control via well-established multi-touch gestures. MobiSweep leverages kinesthetically aware interactions for the creation of a sweep surface without explicit position tracking. The design concepts generated by users, in conjunction with their feedback, demonstrate the potential of such interactions in enabling spatial ideation.