Congrats to Chu Li for presenting our work on Project Sidewalk and sidewalk equity for the World Information Architecture Day in Seattle. Pictures below courtesy of Zhihan Zhang.

Congrats to Stefania Druga for passing her iSchool PhD dissertation defense today on the topic of Creative AI Literacies for Families. I was honored to serve on the PhD committee. Such timely, important work exploring how to develop children and family AI literacy and involve them in AI-assisted creation! Also, best title slide ever, which was generated via DALL E-2 using the new Microsoft Designer—an AI-assisted design tool (how fitting!).    

Congrats to Makeability Lab alum Dhruv Jain (now a professor at the University of Michigan) for being honored with the SIGCHI Outstanding Dissertation Award. The Award "recognizes the most outstanding research contributions from recently graduated PhD students within the HCI community, showcasing the quality and impact of HCI research." Congratulations as well to the two other winners: Megan Hofmann and Kai Lukoff. Impressively, all three winners have UW affiliation: Kai was advised by Professors Alexis Hiniker and Sean Munson; Megan by Professor Jen Mankoff and Scott Hudson (CMU); and Dhruv by me and Professor Leah Findlater. The award recognition blurb for Dhruv reads: Dhruv “DJ” Jain is an Assistant Professor in Computer Science and Engineering at the University of Michigan, also affiliated with the School of Information and Department of Family Medicine. His research focuses on accessibility, and investigates the full cycle of identifying user needs, developing novel assistive technology systems, and studying these systems in the field. He got his Ph.D. from University of Washington and Masters from the MIT Media Lab. DJ’s dissertation advances the design and evaluation of interactive systems to improve sound awareness for people who are deaf or hard of hearing (DHH). This research, drawing on his own experience as a person who is hard of hearing, has two goals: first, to better understand how DHH people feel about technology-mediated sound awareness and how these feelings manifest across contexts; and second, to design, build, and study new technical solutions for sound using iterative, human-centered design.  DJ’s dissertation makes contributions across the human-centered design pipeline, including new research methods for disability and technology design, advancing understanding of preferences for sound classification and real-time captioning, designing and implementing new interactive sound awareness systems on IoT devices, smartwatches, and augmented reality glasses, and evaluating these systems in lab studies and field deployments.  The work was honored with an ACM ASSETS Best Artifact award, selected for a CACM Research Highlights article, covered by popular press venues including CNN, New Scientist, and Forbes, directly impacted real-time captioning work at Google, and yielded a released app called SoundWatch in the Google Play store that is being used by DHH people across the world for real-time sound recognition.  DJ’s dissertation exemplifies the use of end-to-end human-centered research to define and advance methods and tools for real-time sound recognition, fundamentally advancing our understanding of DHH people’s needs around sound recognition and providing technical solutions to support those needs.

Huge congratulations to recently graduated Makeability Lab PhD student—now Michigan professor—Dhruv Jain on being recognized with the William Chan Dissertation Award. The Allen School has a lovely writeup, which quotes some of my thoughts worth repeating here. “Dhruv’s dissertation research makes fundamental advances in the design of sound sensing and feedback systems for people who are deaf or hard of hearing,” Froehlich said. “Throughout his dissertation work, Dhruv has worked closely with the DHH community to understand diverse needs and evaluate his systems, including through large online surveys, interviews and field deployments.” Jain’s own experiences as a DHH individual informed his research and helped shape his focus on the user experience.  “Dhruv’s dissertation not only exemplifies the human-centered design process in the creation of accessible technologies but also makes transformative technical innovations in integrating AI and HCI to improve information access,” Froehlich added. “As a testament to its impact, his work has received multiple paper awards and a Microsoft Research Dissertation Grant, and SoundWatch has been released and downloaded by over 2,000 Android watch users worldwide.” As rather surreal twist, I was honored with the same award a decade ago. It is both humbling and even more fulfilling to have one of my own students receive the award. Congrats Dhruv!

We were honored and delighted to give a talk on SciStarter in honor of MLK Jr.'s Day of Service. You can view the slides here.

In the words of Dr. King:

Injustice anywhere is a threat to justice everywhere

These words still resonate today as we continue to attempt to address systemic inequities in human mobility and transit access—for which Project Sidewalk is but one small movement forward.

SciStarter is a platform for community science featuring over 1,000 research projects, including Project Sidewalk. If you join SciStarter, you can get credit for using Project Sidewalk—just make sure you're using the same email addresses on both platforms.

Huge news: Michael Duan was selected as a Finalist for the extremely competitive CRA Undergraduate Research Award based on his work on Scaling Crowd+AI Sidewalk Accessibility Assessments and Sidewalk Gallery.

This is the first time in the Makeability Lab's history that one of our ugrads earned such a distinction. Congratulations Michael on this well-deserved recognition. The Allen School should be producing a story about this soon.

See the full list of awardees here.

Huge congrats on Chu's successful presentation of Project Sidewalk at Intelligent Transportation Systems Washington 2022! A huge step for Project Sidewalk to go beyond the HCI community!

Daniel presents the recent work of the Makeability Lab at the Ability/LEAP Accessibility Research Night. Congrats to the successful talk! Here's a copy of the presentation.

Congratulations to Dhruv Jain who was selected for the prestigious Microsoft Research Dissertation Grant for his work on “Sound Sensing and Feedback Techniques for Deaf and Hard of Hearing Users.” The MSR Dissertationg Grant aims to "increase the pipeline of diverse talent receiving advanced degrees in computing-related fields by providing a research funding opportunity for doctoral students who are underrepresented in the field of computing."

Read more on the Allen School news page.

Congratulations to Dhruv Jain who was selected for the Google-CMD-IT LEAP Alliance Fellowship. CMD-IT stands for the Center for Minorities and People with Disabilities in IT and is dedicated to "promoting innovation that enriches, enhances, and enables our target communities, such that more equitable and sustainable contributions are possible by all communities."

Dhruv Jain's Deaf Travel Autoethnography was covered by the UW Daily. Read the article here.

We were honored that both of our papers submitted to ASSETS'19 were accepted for publication:

• Autoethnography of a Hard of Hearing Traveler led by UW CSE PhD student, Dhruv Jain, and co-authored by Jain, Audrey Desjardins (School of Art + Art History + Design), Leah Findlater (HCDE), and Jon Froehlich
• Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery led by UW CSE PhD students, Galen Weld and Esther Jang, and co-authored by Weld, Jang, Anthony Li (UMD ugrad), Aileen Zeng (UW CSE ugrad), Kurtis Heimerl (UW CSE prof), and Jon Froehlich.

Congratulations to Maryam Hosseini on their successful PhD defense on semi-automatic sidewalk assessments. Wonderful work. Terrific presentation. Beautiful slides.

Our work together played but a small role in this incredibly impactful research:

Hosseini, M., Saugstad, M., Miranda, F., Sevtsuk, A., Silva, C. T., Froehlich, J. E. (2022). Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities. CVPR2020 Workshop: Accessibility, Vision, and Autonomy (AVA). DOI: https://doi.org/10.48550/arXiv.2206.13677

Congratulations Maryam!

Together with Professor Fabior Miranda from the University of Illinois, Chicago and Maryam Hosseini from Rutgers/NYU, we ran a mini-symposium session on the The Future of Global-Scale Spatial Data Collection and Analyses on Urban (in)Accessibility for People with Disabilities at the 2nd Spatial Data Science Symposium 2021.

In our session, we brought together experts in disability, human mobility, urban planning, and computer science to discuss state-of-the-art methods for measuring the quality, condition, and accessibility of urban infrastructure, how these methods may enable new types of geospatial analysis and visualization, and the possibilities for data-driven policy change and accessible urban development. Our overarching goal was to identify open challenges, share current work across disciplines, and spur new collaborations.

We had over 50 participants join and a set of lightning talks from Anat Caspi and Nick Bolten from UW, Roberto M. Cesar Jr. and Eric K. Tokuda, from the University of São Paulo, Holger Dieterich and Sebastian Felix Zappe from Sozialhelden, Victor Pineda from the Inclusive Cities Lab and Worldenabled.org, Yochai Eisenberg from the University of Illinois, Chicago, and Andres Sevtsuk from UW.

Froehlich, J. E., Miranda, F., Hosseini, M., Bolten, N., Caspi, A., Cesar Jr., R. M., Dieterich, H., Eisenberg, Y., Pineda, V., Saha, M., Saugstad, M., Sevtsuk, A., Silva, C. T., Tokuda, E. K., Zappe, S. F. (2021). The Future of Global-Scale Spatial Data Collection and Analyses on Urban (in)Accessibility for People with Disabilities. Spatial Data Science Symposium 2021.

Manaswi Saha gave an invited Google Tech Talk on Project Sidewalk and interactive accessibility geo-visualizations. The talk slides are here.

Our ASSETS'19 paper "Deep Learning for Automatically Detecting Sidewalk Accessibility Problems Using Streetscape Imagery" was just recognized with the 'Best Student Paper Award'--given to only one of the 158 submissions

Congrats team!