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Communities of practice (CoPs) play a crucial role in cross-pollination and learning within various skill-based and craft domains. These communities often share common materials, concepts, and techniques across related practices. However, due to their insular nature, exchanging knowledge between CoPs has been challenging, leading to fragmented knowledge marked by differing vocabularies and contexts. To address this issue, we introduce Anther, a system designed to highlight shared concepts and semantic overlap between distinct CoPs. Anther projects concepts onto a 2-dimensional space, providing users with comprehensive, contextual, and conceptual views. We conducted a user study, demonstrating Anther’s effectiveness in aggregating and disseminating community-based knowledge, bridging gaps between CoPs, and supporting the cross-pollination of knowledge between CoPs. Further, we present interaction vignettes that illustrate how Anther can ease entry into new domains and aide in discovering new creative techniques. This work can benefit maker communities by fostering collaborative knowledge-building across diverse domains. 

Within various creative domains, communities of practice (CoPs) are instrumental in fostering knowledge creation and innovation. Although each community disseminates knowledge through resources like online video tutorials, this content is often hidden behind different contexts and semantics that limits practitioners’ ability to learn, borrow, and adapt knowledge from each other. To trace how knowledge disseminates across CoPs, we analyzed video transcripts across 25 communities and characterized them using Term Frequency Proportional Document Frequency (TF*PDF) to extracted materials, tools, and techniques concepts. Using a cluster heatmap visualization, we reveal material and material parallels as boundaries for umbrella CoPs, techniques as strong predictors of kindred CoPs, and outliers as emerging sites of hybrid CoPs. We discuss implications for the design of knowledge discovery support tools to characterize material workflows, track knowledge evolution, and develop semantic vocabularies. 

Entering a cognitive state of flow is a natural response of the mind that allows people to fully concentrate and cope with tedious, and often repetitive tasks. Understanding how to trigger or sustain flow remains limited by retrospective surveys, presenting a need to better document flow. Through a validation study, we first establish braidmaking as a flow-inducing task. We then study how braidmaking can be used to unpack the experience of flow on a moment-by-moment basis. Using an instrumented Kumihimo braidmaking tool and off-the-shelf biosignal wristbands, we record the experiences of 24 users engaged in 3 different braidmaking tasks. Feature vectors motivated from flow literature were extracted from activity data (IMU, EMG, EDA, heart rate, skin temperature, braiding telemetry) and annotated with Flow Short Scale (FSS) scores. Together, this dataset and data-capture system form the first open-access and holistic platform for mining flow data and synthesizing flow-aware design principles. 

The ability to visually discern shape, form, and value is fundamental to observational drawing. However, developing this skill requires a drawer to perceive a “raw” version of the scene being drawn, often referred to as regaining the innocence of the eye. This work investigates how interactive projected light cues can be used to alter the perception of drawing objects and understand how users might control their own perception. We introduce an augmented reality system capable of dynamically projecting interactive light cues onto objects within a live drawing studio. We present the design of three cues that address challenging percepts for novice drawers: gauging proportion, discerning shape, and shifting visual attention. In a formal user study with novice and intermediate drawers, we evaluate the effectiveness of these cues in supporting observational drawing. We demonstrate how cues can be designed to correct subconscious errors and visually guide users in learning to draw. 

Conductive thread is a common material in e-textile toolkits that allows practitioners to create connections between electronic components sewn on fabric. When powered, conductive threads are used as resistive heaters to activate thermochromic dyes or pigments on textiles to create interactive, aesthetic, and ambient textile displays. In this work, we introduce Embr, a creative framework for supporting hand-embroidered liquid crystal textile displays (LCTDs). This framework includes a characterization of conductive embroidery stitches, an expanded repertoire of thermal formgiving techniques, and a thread modeling tool used to simulate mechanical, thermal, and electrical behaviors of LCTDs. Through exemplar artifacts, we annotate a morphological design space of LCTDs and discuss the tensions and opportunities of satisfying the wider range of electrical, craft, cultural, aesthetic, and functional concerns inherent to e-textile practices.