We discuss existent approaches to trace tacit knowledge in craft practices through a turn to more-than-human centered design. This leads to a call for a multi-layered sensing system that covers not only the human body but also the tools and materials involved. Furthermore, it stresses the necessity of relational data collection and analysis. We present the design and implementation of this concept for a traditional woodworking practice: shaving wood with a block plane. In closing, we show feasibility of the suggested design through an initial pilot test. The argument contributes a theoretical turn to material-based sensing principles in the search for ways to track tacit knowledge, it outlines key design principles of this approach, provides an example implementation, and indicates a first validation through pilot data.

Craft practitioners rely on reflection to train and improve their skills. The lack of media to represent and communicate their tacit knowledge makes reflection difficult, especially if this reflection happens after the fact. This paper presents a set-up that tracks and visualizes muscle activities of potters when throwing on the wheel. We use this set-up to investigate the effect of the visualization of potters' muscle activities on their retrospective reflections on their own practice. We conducted a preliminary user study with three expert potters. The preliminary results suggest that externalizing the once implicit muscle activities alters potters' reflection of their own practice and can potentially serve as a medium to communicate the tacit knowledge involved in throwing.

Voting is a glocalized event across countries, states and municipalities in which individuals of all abilities want to participate. To enable people with disabilities to participate accessible voting is typically implemented by adding assistive technologies to electronic voting machines to accommodate people with disabilities. To overcome the complexities and inequities in this practice, two interfaces, EZ Ballot, which uses a linear yes/no input system for all selections, and QUICK Ballot, which provides random access voting through direct selection, were designed to provide one system for all voters. This paper reports efficacy testing of both interfaces. The study demonstrated that voters with a range of visual abilities were able to use both ballots independently. While non-sighted voters made fewer errors on the linear ballot (EZ Ballot), partially-sighted and sighted voters completed the random access ballot (QUICK Ballot) in less time. In addition, a higher percentage of non-sighted participants preferred the linear ballot, and a higher percentage of sighted participants preferred the random ballot.

Sketching is a vital process in scientific research and procedural learning. In educational contexts, sketching helps students visualize abstract concepts and facilitates communication with their instructors as well as with other students. Inspired by a problem-based learning science class in which students use papers and pens to collaboratively sketch diagrams and equations for given problems, we aim to provide a digital tabletop platform for collaborative learning and customization. Current tabletop systems are unaffordable to be widely adopted in the classroom and are unable to identify multiple pens. We propose a pen-based tabletop system that utilizes a low-cost high-frame-rate infrared camera and HTML5 web canvas programming, making it cheaper and easier to customize for specific uses.

Current accessible voting machines require many voters with visual, cognitive and dexterity limitations to vote with assistance, if they can vote at all. To address accessibility problems, we developed the EZ Ballot. The linear layout of the EZ ballot structure fundamentally re-conceptualizes ballot design to provide the same simple and intuitive voting experience for all voters, regardless of ability or input/output (I/O) device used. Further, multimodal I/O interfaces were seamlessly integrated with the ballot structure to provide flexibility in accommodating voters with different abilities.