Digital knitting machines provide a fast and efficient way to create garments, but commercial knitting tools are limited to predefined templates. While many knitting design tools help users create patterns from scratch, modifying existing patterns remains challenging. This paper introduces KnitA11y, a digital machine knitting pipeline that enables users to import hand-knitting patterns, add accessibility features, and fabricate them using machine knitting. We support modifications such as holes, pockets, and straps/handles, based on common accessible functional modifications identified in a survey of Ravelry.com. KnitA11y offers an interactive design interface that allows users to visualize patterns and customize the position and shape of modifications. We demonstrate KnitA11y’s capabilities through diverse examples, including a sensory-friendly scarf with a pocket, a hat with a hole for assistive devices, a sock with a pull handle, and a mitten with a pocket for heating pads to alleviate Raynaud’s symptoms.
more »
« less
Stitching Together the Experiences of Disabled Kniters
Knitting is a popular craft that can be used to create customized fabric objects such as household items, clothing and toys. Additionally, many knitters fnd knitting to be a relaxing and calming exercise. Little is known about how disabled knitters use and beneft from knitting, and what accessibility solutions and challenges they create and encounter. We conducted interviews with 16 experienced, disabled knitters and analyzed 20 threads from six forums that discussed accessible knitting to identify how and why disabled knitters knit, and what accessibility concerns remain. We additionally conducted an iterative design case study developing knitting tools for a knitter who found existing solutions insufcient. Our innovations improved the range of stitches she could produce. We conclude by arguing for the importance of improving tools for both pattern generation and modifcation as well as adaptations or modifcations to existing tools such as looms to make it easier to track progress
more »
« less
- Award ID(s):
- 1907337
- PAR ID:
- 10299725
- Date Published:
- Journal Name:
- ACM
- ISSN:
- 0100-6940
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Machine knitting is a well-established fabrication technique for complex soft objects, and both companies and researchers have developed tools for generating machine knitting patterns. However, existing representations for machine knitted objects are incomplete (do not cover the complete domain of machine knittable objects) or overly specific (do not account for symmetries and equivalences among knitting instruction sequences). This makes it difficult to define correctness in machine knitting, let alone verify the correctness of a given program or program transformation. The major contribution of this work is a formal semantics for knitout, a low-level Domain Specific Language for knitting machines. We accomplish this by using what we call the "fenced tangle," which extends concepts from knot theory to allow for a mathematical definition of knitting program equivalence that matches the intuition behind knit objects. Finally, using this formal representation, we prove the correctness of a sequence of rewrite rules; and demonstrate how these rewrite rules can form the foundation for higher-level tasks such as compiling a program for a specific machine and optimizing for time/reliability, all while provably generating the same knit object under our proposed semantics. By establishing formal definitions of correctness, this work provides a strong foundation for compiling and optimizing knit programs.more » « less
-
In this paper, we present a case study with a disabled physics student to draw attention to his experiences in the physics community, and the barriers and supports that he experienced as he advanced through his physics career. Using a methodology of narrative analysis, we identify themes and genres within the stories told by the participant. Narratives are often created to explain the unexpected and to solve a problem. In the physics community, disabled students find their "differences" (i.e., disability/impairments) are often positioned as unexpected and a problem to be solved. We use narrative analysis to humanize disabled physics students and to highlight their lived experiences of progressing through the physics community over their perceived deviation from the physics "norm." From this, we create resources for physics mentors to increase their knowledge of disabled physics students' experiences and how to support accessibility and inclusion in the physics community.more » « less
-
null (Ed.)Systems that augment sensory abilities are increasingly employing AI and machine learning (ML) approaches, with applications ranging from object recognition and scene description tools for blind users to sound awareness tools for d/Deaf users. However, unlike many other AI-enabled technologies these systems provide information that is already available to non-disabled people. In this paper, we discuss unique AI fairness challenges that arise in this context, including accessibility issues with data and models, ethical implications in deciding what sensory information to convey to the user, and privacy concerns both for the primary user and for others.more » « less
-
Accessibility of research data to disabled users has received scant attention in literature and practice. In this paper we briefly survey the current state of accessibility for research data and suggest some first steps that repositories should take to make their holdings more accessible. We then describe in depth how those steps were implemented at the Qualitative Data Repository (QDR), a domain repository for qualitative social-science data. The paper discusses accessibility testing and improvements on the repository and its underlying software, changes to the curation process to improve accessibility, as well as efforts to retroactively improve the accessibility of existing collections. We conclude by describing key lessons learned during this process as well as next steps.more » « less
An official website of the United States government

