This paper explores the dynamics of interdisciplinary collaboration between designers, scientists, and engineers through ten stories as told from the perspective of material-led designers.These stories focus on material-led designers working in contexts like biodesign and smart textiles, where novel materials, fabrication methods, and technology often intersect, requiring cross-disciplinary collaboration.By including perspectives from designers within and adjacent to HCI, the study broadens the understanding of interdisciplinary teamwork that combines scientific, technical, and craft-based expertise.Our analysis highlights how designers navigate challenges like differing terminologies, epistemic hierarchies, and conflicting priorities.We discuss strategies such as material prototypes, attitudes of inquiry and openness, switching lexicons, and the value of interdisciplinary contexts.This research underscores designers as "translators" who mediate epistemological tensions, use tangible artifacts to communicate, and articulate possible applications.This research contributes ten stories as narrative resources for understanding strategies and fostering interdisciplinary spaces within HCI.

This paper presents a reflection on the role of ontological inquiry in HCI research and practice. Specifically, we introduce philosopher Gilbert Simondon’s proposal of technical mentality, an onto-epistemology based on direct knowledge of technical objects and systems. This paper makes the following contributions: an analysis of Simondon’s ontological critique and its connection to technical mentality; a reflection on the ethical and practical implications of Simondon’s proposal for systems research; an example of technical mentality in practice; and a discussion of how technical mentality might be extended into a design program for HCI through four principles: extension, integration, legibility, and expression.

With the increase of Internet of Things devices in home environments, data will become an even more dominant part of people’s everyday lives. The invisibility of data leads us to rely on our imagination to make sense of them, yet this imagination is heavily shaped by a technocentric lens that views data as neutral and transparent. In response, in this article, we present the Data Epics project, where we commissioned seven fiction writers to write short stories based on smart home device data provided by seven households. We offer an analysis of the writers and households’ experiences with the project, presenting seven ways in which data imaginaries are made and unmade. We contribute a reflection around how making new data imaginaries unmakes common ones, the friction in unmaking certain imaginaries, and how we might further disseminate alternative data imaginaries.

Understanding how professionals use digital fabrication in production workflows is critical for future research in digital fabrication technologies. We interviewed thirteen professionals who use digital fabrication for the low-volume manufacturing of commercial products. From these interviews, we describe the workflows used for nine products created with a variety of materials and manufacturing methods. We show how digital fabrication professionals use software development to support physical production, how they rely on multiple partial representations in development, how they develop manufacturing processes, and how machine control is its own design space. We build from these findings to argue that future digital fabrication systems should support the exploration of material and machine behavior alongside geometry, that simulation is insufficient for understanding the design space, and that material constraints and resource management are meaningful design dimensions to support. By observing how professionals learn, we suggest ways digital fabrication systems can scaffold the mastery of new fabrication techniques.

The processes of data collection and transformation are often opaque to users. This means they rely on their imagination to make sense of the data they produce. The images data conjure up, however, tend to be homogenous and flat: black screens, ones and zeros, big server farms in the desert. For designers and researchers who work with data as a material, this small repertoire can be stifling. For device users, it can lead to a removal of agency in how they make sense and engage with the data they produce. In this pictorial, we draw from a two-year data fictionalization project to start building an expanded repertoire of data imaginaries. We worked with seven households and seven writers to transform smart home data sets into fiction stories. Based on the interviews we conducted, we present the images participants shared with us as a step towards more expressive and varied imaginaries of data.

Digital fabrication in industrial contexts involves standardized procedures that prioritize precision and repeatability. However, fabrication machines are now available for practitioners who focus instead on experimentation. In this paper, we reframe hobbyist CNC milling as writing literate programs which interleave documentation, interactive graphics, and source code for machine control. To test this approach, we present Imprimer, a machine infrastructure for a CNC mill and an associated library for a computational notebook. Imprimer lets makers learn experimentally, prototype new interactions for making, and understand physical processes by writing and debugging code. We demonstrate three experimental milling workflows as computational notebooks, conduct a user study with practitioners with a range of backgrounds, and discuss literate programming as a future vision for digital fabrication altogether.

Why is the solution the end point to a problem? While many in HCI and design have examined the impulse to solve problems–the solutionist or techno-solutionist mindset–we examine the logic that binds the solution and the problem together as a pair. Focusing on the timely and consequential problem of systemic racial injustice, we think through the paradoxical possibility that the pairing of the problem and solution (so often treated as the default in design and HCI) perpetuates the very conditions we seek to improve. With Calvin Warren’s profound Afro-pessimism, we recognize how the tools used to solve structural inequities around Black life are constructed with inequities themselves. The problem-solution, therefore, is a dead end. We use this paradox as an invitation to rethink ongoing efforts to seek equity and justice more broadly, setting out a fragile but hopeful path for HCI and design.

Over the past few years, AI bias has become a central concern within design and computing fields. But as the concept of bias has grown in visibility, its meaning and form have become harder to grasp. To help designers realize bias, we take inspiration from textile bias (the skew of woven material) and examine the topic across its myriad forms: visual, textual, and tactile. By introducing a slanted experience of material and therefore of reality, we explore the translation of fraught machine learning algorithms into personal and probing artifacts. In this pictorial, we present nine pieces that materialize complex relationships with machine learning; ground these relationships in the present and the personal; and point to generative ways of engaging with biased systems around us.

Digital fabrication courses that relied on physical makerspaces were severely disrupted by COVID-19. As universities shut down in Spring 2020, instructors developed new models for digital fabrication at a distance. Through interviews with faculty and students and examination of course materials, we recount the experiences of eight remote digital fabrication courses. We found that learning with hobbyist equipment and online social networks could emulate using industrial equipment in shared workshops. Furthermore, at-home digital fabrication offered unique learning opportunities including more iteration, machine tuning, and maintenance. These opportunities depended on new forms of labor and varied based on student living situations. Our findings have implications for remote and in-person digital fabrication instruction. They indicate how access to tools was important, but not as critical as providing opportunities for iteration; they show how remote fabrication exacerbated student inequities; and they suggest strategies for evaluating trade-offs in remote fabrication models with respect to learning objectives.