Visualizations are the means by which many of us access data, deeply implicated in many of the ways that we come to understand data. Through my research, I use design inquiry and qualitative methods to address a series of questions related to the creation and use of visual representations of data and information including:
- Which data are we making visible, why, and for whom? What is motivating these choices and what values are reflected in these decisions?
- How we are making this data visible? What are the mechanisms of visual encoding that enable us to surface certain things and obscure other things?
- And what are the implications of these design choices, especially in terms of social interactions, collaboration and coordination?
Currently, I am an Assistant Professor in the Information School at the University of Washington, an Adjunct Assistant Professor in the Department of Human Centered Design and Engineering, and a Core Affiliate in the Data Science Studies Special Interest Group. My work has appeared in top human-computer interaction (HCI) and information science venues such as ACM Proceedings of CHI and CSCW; ACM TOCHI; The Journal of the Association of Information Science and Technology (JASIST); Computers in Human Behavior; and Human-Computer Interaction. My research has been funded by UW's Royalty Research Fund (RRF), Group Health Foundation, and a recently awarded five-year NSF CAREER grant.
- Snyder, J., Murnane, E.L., Lustig, C., Voida, S (2019). Visually Encoding the Lived Experience of Bipolar Disorder. Proc ACM SIG-CHI. doi>10.1145/3290605.3300363
- Snyder, J. and Shilton, K. (2019). Spanning the Boundaries of Data Visualization Work:
An Exploration of Functional Affordances and Disciplinary Values. Proceedings of the iConference in Springer's Lecture Notes in Computer Science, College Park, MD.
- Murnane, E., Walker, T., Tech, B., Voida, S., and Snyder, J. (2018). Personal Informatics in Interpersonal Contexts: Towards the Design of Technology that Supports the Social Ecologies of Long-Term Mental Health Management. Proc ACM CSCW. Best Paper Honorable Mention. Diversity and Inclusion Recognition. [ Acceptance rate 26%]
- Baumer, E. P. S., Snyder, J. and Gay, G. (2018). Interpretive Impacts of Text Visualization: Mitigating Political Framing Effects. ACM Trans. Comput.-Hum. Interact (TOCHI). 25, 4: 20:1-20:26.
- Zolyomi, A., Shulkas, A., Snyder, J. (2017). Technology-Mediated Sight: A Case Study of Early Adopters of a Low Vision Assistive Technology. Proc ACM ASSETS. Best Student Paper Award.
- Snyder, J. (2017). Vernacular Visualization Practices in a Citizen Science Project. Proc ACM CSCW.
©2019 Jaime Snyder