Optimizing Medical Making: Meta-Tools for Fabrication in Healthcare Settings

Speaker: Megan Hofmann , Carnegie Mellon

Date: Wednesday, March 16, 2022

Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: https://mit.zoom.us/j/95291396726

Event Type: Seminar

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Host: Stefanie Mueller , CSAIL MIT

Contact: Cynthia Rosenthal, crosenth@csail.mit.edu

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Speaker URL: https://www.megan-hofmann.com/

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Reminders to: seminars@csail.mit.edu, hcifac@lists.csail.mit.edu, HCI-Seminar@lists.csail.mit.edu, mitcsailhci@mit.edu

Reminder Subject: TALK: Optimizing Medical Making: Meta-Tools for Fabrication in Healthcare Settings

Digital fabrication technologies, everything from consumer 3D printers and laser cutters up to industrial knitting machines, are changing the way we build the world around us and, more importantly, who gets to build that world. In the context of healthcare, 3D printing is changing how we create assistive and medical devices at the point-of-care and proved to be an essential tool for producing PPE during the COVID-19 pandemic. Despite these recent successes, a more careful examination of how healthcare professionals are adopting digital fabrication technologies reveals a mismatch between what design tools are made to do and what clinicians want to do. My research reverses our expectations of who uses design tools and who builds them by bringing clinical domain experts into the process of building digital fabrication systems.

In this talk, I will summarize my extensive work on digital fabrication in a variety of healthcare contexts and what we have learned about how medical domain experts approach fabrication challenges. Next, I will discuss three design systems I developed to better meet the needs of non-technical domain experts. First, I present a compiler for machine knitting that creates new opportunities to support automated textile design. Second, I discuss a framework for 3D model reuse and verification based on software engineering principles. Third, I present my most recent work on helping programmers and domain experts collaboratively build generative design tools in novel domains. Finally, I will present current and future applications of these systems in the context of healthcare, accessibility for people with disabilities, and design tools for sustainable textile manufacturing.

Megan Hofmann is a PhD Candidate at the Human Computer Interaction Institute at Carnegie Mellon University advised by Scott Hudson and Jennifer Mankoff. She is a Siebel Fellow, an NSF Fellow, and a Center for Machine Learning and Health Fellow. Further, Megan served as the accessibility chair for UIST from 2019-2020 and is a member of the program committees for UIST (2021-2022) and ASSETS (2022). Megan’s research has been published at top HCI conferences such as CHI, UIST, ASSETS, and CSCW and her work on the emerging area of Medical Making has won multiple awards at ACM-CHI and Assets. In the Fall of 2021, Megan developed and taught a new Graduate Special Topics course on Machine Knitting at the Paul G. Allen School of Computer Science at the University of Washington.

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This event is not part of a series.

Created by Cynthia Rosenthal Email at Tuesday, March 08, 2022 at 4:34 PM.