I am an Assistant Professor in the School of Information at the Rochester Institute of Technology where I co-direct the CAIR Lab. My research focuses on the design of technologies usable by people with disabilities, making design practices accessible, supporting students with disabilities in graduate school, and teaching accessibility in computing. I have NSF funded projects investigating accessibility issues and experiences for graduate students with disabilities, and facilitating teaching modules to infuse accessibility into computing courses. I received my PhD from the University of Washington Information School in 2017, where I was advised by Jacob O. Wobbrock and co-advised by Wanda Pratt.
I developed the Design for Social Accessibility (DSA) perspective, which includes consideration for social situations experienced by people with disabilities. The DSA perspective frames tenets for design and inlcudes a set of method cards to help designers engage in a design process sensitive to disabled user needs and preferences. Special thanks to Stephen Cady and Nayeri Jacobo for their help in preparing these tools for designers to download and use for free: Download DSA Method Cards Here
I am a member of the faculty team of the AWARE-AI NSF Research Traineeship Program. Graduate students from associated RIT Ph.D. and MS programs are invited to review information on how to apply and benefits for Trainees at our NSF Research Traineeship website. Women, Deaf or Hard-of-Hearing, and African American, Latino/a American, or Native American students are especially encouraged to apply.
Work in these projects focus on the accessibility of different aspects of the design thinking process (including approaches such as user-centered design), toward learning what can be done to improve accessibility of design tools and techniques.
We investigate how to infuse accessibility into computing courses, focusing on two key considerations: increasing student awareness and learning of accessibility topics and skills, and ensuring teaching materials and content are readily usable by instructors.
We investigate how graduate students with disabilities manage inaccessibility in research. This work focuses on graduate students in STEM fields pursuing their doctoral degrees.
[Honorable Mention, top 5%] Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, and Matt Huenerfauth. 2022. Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 460, 1–13.
Franklin Mingzhe Li, Franchesca Spektor, Meng Xia, Mina Huh, Peter Cederberg, Yuqi Gong, Kristen Shinohara, and Patrick Carrington. 2022. “It Feels Like Taking a Gamble”: Exploring Perceptions, Practices, and Challenges of Using Makeup and Cosmetics for People with Visual Impairments. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 266, 1–15.
Murtaza Tamjeed, Vinita Tibdewal, Madison Russell, Michael McQuaid, Tae Oh, and Kristen Shinohara. 2021. Understanding Disability Services Toward Improving Graduate Student Support. The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. Association for Computing Machinery, New York, NY, USA, Article 3, 1–14.
[Honorable Mention, top 5%] Kristen Shinohara, Michael McQuaid, and Nayeri Jacobo. 2021. The Burden of Survival: How Doctoral Students in Computing Bridge the Chasm of Inaccessibility.Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, Article 376, 1–13.
Junchen Li, Garreth W. Tigwell, Kristen Shinohara. 2021. Accessibility of High-Fidelity Prototyping Tools.Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). ACM, New York, NY, USA, Article 493, 1–17.