SoundWatch

Quick Info

Project Date Sept. 1, 2018 - Present
Sponsors: NSF
Keywords: wearables, haptics, accessibility, deaf, hard of hearing, sound visualization, sound awareness, smartwatch

News

SoundWatch and Navigating Grad School with a Disability Accepted to ASSETS'20

Jul 22, 2020 | Jon

We just received news that two of Dhruv Jain's first-authored submissions were accepted to ASSETS'20—an amazing accomplishment. Importantly, the work itself is impactful and diverse. Congrats DJ and all collaborators! The papers are linked below: Jain, D., Potluri, V., Sharif, A. (2020). Navigating Graduate School with a Disability: A Trio-Ethnography. Proceedings of ASSETS 2020. 17 pages. To Appear. Jain, D., Ngo, H., Patel, P., Goodman, S., Findlater, L., Froehlich, J. E. (2020). SoundWatch: Exploring Smartwatch-based Deep Learning Approaches to Support Sound Awareness for Deaf and Hard of Hearing Users. Proceedings of ASSETS 2020. 16 pages. To Appear.

Four Papers Accepted to CHI2020!

Dec 09, 2019 | Jon

The Makeability Lab had four papers accepted to CHI this year. The acceptance rate was 24% (760 accepts of 3126 submissions). Congrats to the lead PhD students: Steven Goodman (HCDE), Dhruv Jain (CSE), Seokbin Kang (CS), Wendy Roldan (HCDE), and all our wonderful collaborators. Goodman, S., Kirchner, S., Guttman, R., Jain, D., Froehlich, J., Findlater, L. Evaluating Smartwatch-based Sound Feedback for Deaf and Hard-of-hearing Users Across Contexts, CHI2020 Jain D., Mack., K., Amrous, A., Wright, M., Goodman, S., Findlater, L., Froehlich, J. HomeSound: An Iterative Field Deployment of an In-Home Sound Awareness System for Deaf or Hard of Hearing Users, CHI2020 Kang, S., Shokeen, E., Byrne, V., Norooz, L., Bonsignore, E., Williams-Pierce, C., Froehlich, J. ARMath: Augmenting Everyday Life with Math Learning, CHI2020 Roldan, W., Gao, X., Marie, A., Hishikawa, T, Li, Z., Zhang, E., Froehlich, J., Yip, J. Opportunities and Challenges in Involving Users in Project-Based HCI Education, CHI2020 We plan to post the camera-ready versions of the papers and some videos in January!

About

Two example use cases of SoundWatch

In this project, we explore using smartwatch to provide glanceable, always-available sound feedback to people who are deaf or hard of hearing. Through two research papers, we present (1) a qualitative study with 16 deaf and hard of hearing participants examining reactions to smartwatch-based visual + haptic sound feedback designs, (2) a quantitative examination of smartwatch-based deep learning sound classification models and architectures, as well as (3) a lab exploration of a smartwatch sound awareness app with eight deaf and hard of hearing participants. Our findings have implications for future portable sound awareness systems.