Most shelving relies on rectangular compartments that ignore the contours of the objects they hold. We present Uniquely Shaped Spaces, an object-driven algorithmic tool for custom shelving generation. The workflow arranges users’ object silhouettes with simulated annealing, grows walls via cellular automata to carve fitted voids, and outputs fabrication files with joinery for laser cutting. We designed the system so that objects, our algorithm, and users share authorship, and studied how this configuration played out with five participants as they designed shelves in guided workshops and then lived with the fabricated pieces. Our findings show how participants navigated object geometry, algorithmic search, and fabrication limits by curating, tweaking, and appropriating algorithmic proposals, and how the resulting shelves supported reflection and storytelling. These results point toward object-driven fabrication systems that foreground objects as generative constraints and explicitly support negotiation within constraint-driven workflows.

Smart textiles combine electronics with traditional textile forms, showing great promise in creating soft and flexible interactive systems for human-computer interaction and robotics. However, they also present significant sustainability challenges as they merge two substantial waste streams: textiles and electronics. This paper contributes to sustainability efforts by focusing on the integration of biobased materials that are biodegradable, compostable, and recyclable in the design of smart textiles. We introduce a Desktop Biofibers Spinning Machine to enable smart textile innovators to explore biobased fibers (i.e., biofibers) and envision applications in sustainable smart textiles. We describe the machine’s design, a usage walkthrough, considerations for fiber spinning, and an exploration of various formulations to make gelatin biofibers. We provide several examples of biofibers integrated into smart textile applications. Finally, we discuss lessons learned from working with biofibers and the unique opportunities our machine brings to the fiber design space in HCI.

Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualization, fabrication, and electronics. Interactive physicalizations are typically produced in an unstructured manner, resulting in unique solutions for a specific dataset, problem, or interaction that cannot be easily extended or adapted to new scenarios or future physicalizations. To mitigate these challenges, we introduce a computational design pipeline to 3D print network physicalizations with integrated sensing capabilities. Networks are ubiquitous, yet their complex geometry also requires significant engineering considerations to provide intuitive, effective interactions for exploration. Using our pipeline, designers can readily produce network physicalizations supporting selection-the most critical atomic operation for interaction-by touch through capacitive sensing and computational inference. Our computational design pipeline introduces a new design paradigm by concurrently considering the form and interactivity of a physicalization into one cohesive fabrication workflow. We evaluate our approach using (i) computational evaluations, (ii) three usage scenarios focusing on general visualization tasks, and (iii) expert interviews. The design paradigm introduced by our pipeline can lower barriers to physicalization research, creation, and adoption.

The widespread adoption of 3D printers exacerbates existing environmental challenges as these machines increase energy consumption, waste output, and the use of plastics. Material choice for 3D printing is tightly connected to these challenges, and as such researchers and designers are exploring sustainable alternatives. Building on these efforts, this work explores using spent coffee grounds as a sustainable material for prototyping with 3D printing. This material, in addition to being compostable and recyclable, can be easily made and printed at home. We describe the material in detail, including the process of making it from readily available ingredients, its material characteristics and its printing parameters. We then explore how it can support sustainable prototyping practices as well as HCI applications. In reflecting on our design process, we discuss challenges and opportunities for the HCI community to support sustainable prototyping and personal fabrication. We conclude with a set of design considerations for others to weigh when exploring sustainable materials for 3D printing and prototyping.

Computational thinking has been identified as an important skill for children to learn in the 21st century, and many innovative kits and tools have been developed to integrate it into children’s learning. Yet, most solutions require the use of devices like computers or other expensive hardware, thus being inaccessible to low-income schools and communities. We present Cartoonimator, a low-cost, paper-based computational kit for children to create animations and engage with computational thinking. Cartoonimator requires only paper and a smartphone to use, offering an affordable learning experience. Children can draw the scenes and characters for their animation on the paper, which is printed with computer vision markers. We developed the mobile web app to provide an interface to capture keyframes and compile them into animations. In this paper, we describe the implementation and workflow of Cartoonimator, its deployment with children at a local STEAM event, and a planned evaluation for the kit.

Augmentative and alternative communication (AAC) devices enable speech-based communication, but generating speech is not the only resource needed to have a successful conversation. Being able to signal one wishes to take a turn by raising a hand or providing some other cue is critical in securing a turn to speak. Experienced conversation partners know how to recognize the nonverbal communication an augmented communicator (AC) displays, but these same nonverbal gestures can be hard to interpret by people who meet an AC for the first time. Prior work has identified motion-based AAC as a viable and underexplored modality for increasing ACs’ agency in conversation. We build on this prior work to dig deeper into a particular case study on motion-based AAC by co-designing a physical expressive object to support ACs during conversations. We found that our physical expressive object could support communication with unfamiliar partners. As such, we present our process and resulting lessons on the designed object itself and the co-design process.

We present a new type of 3D printer that combines rigid plastic printing with melt electrospinning? a technique that uses electrostatic forces to create thin fibers from a molten polymer. Our printer enables custom-shaped textile sheets (similar in feel to wool felt) to be produced alongside rigid plastic using a single material (i.e., PLA) in a single process. We contribute open-source firmware, hardware specifications, and printing parameters to achieve melt electrospinning. Our approach offers new opportunities for fabricating interactive objects and sensors that blend the flexibility, absorbency and softness of produced electrospun textiles with the structure and rigidity of hard plastic for actuation, sensing, and tactile experiences.

Blind people frequently encounter inaccessible dynamic touchscreens in their everyday lives that are difficult, frustrating, and often impossible to use independently. Touchscreens are often the only way to control everything from coffee machines and payment terminals, to subway ticket machines and in-flight entertainment systems. Interacting with dynamic touchscreens is difficult non-visually because the visual user interfaces change, interactions often occur over multiple different screens, and it is easy to accidentally trigger interface actions while exploring the screen. To solve these problems, we introduce StateLens - a three-part reverse engineering solution that makes existing dynamic touchscreens accessible. First, StateLens reverse engineers the underlying state diagrams of existing interfaces using point-of-view videos found online or taken by users using a hybrid crowd-computer vision pipeline. Second, using the state diagrams, StateLens automatically generates conversational agents to guide blind users through specifying the tasks that the interface can perform, allowing the StateLens iOS application to provide interactive guidance and feedback so that blind users can access the interface. Finally, a set of 3D-printed accessories enable blind people to explore capacitive touchscreens without the risk of triggering accidental touches on the interface. Our technical evaluation shows that StateLens can accurately reconstruct interfaces from stationary, hand-held, and web videos; and, a user study of the complete system demonstrates that StateLens successfully enables blind users to access otherwise inaccessible dynamic touchscreens.

Textiles are an old and well developed technology that have many desirable characteristics. They can be easily folded, twisted, deformed, or cut; some can be stretched; many are soft. Textiles can maintain their shape when placed under tension and can even be engineered with variable stretching ability. Conversely, 3D printing is a relatively new technology that can precisely produce functional, rigid objects with custom geometry. Combining 3D printing and textiles opens up new opportunities for rapidly creating rigid objects with embedded flexibility as well as soft materials imbued with additional functionality. In this paper, we introduce a suite of techniques for integrating 3D printing with textiles during the printing process, opening up a new design space that takes inspiration from both fields. We demonstrate how the malleability, stretchability and aesthetic qualities of textiles can enhance rigid printed objects, and how textiles can be augmented with functional properties enabled by 3D printing.