The Process, Interaction, and Creativity Lab (PICL) is part of the Interactive Computing Group at the University of Illinois Urbana-Champaign. We seek to understand, support, and re-envision how computational tools relate to creative process. To do so, we build and study computational creativity support tools, perform qualitative research, and deploy new tools in the real world.
For Prospective Students
If you are a prospective graduate student interested in HCI, creativity, or education, apply to UIUC Computer Science and mention Dr. Sterman in your application.
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Kaleidoscope: A Reflective Documentation Tool for a User Interface Design CourseSarah Sterman, Molly Nicholas, Janaki Vivrekar, Jessie Mindel, Eric PaulosACM Conference on Human Factors in Computing Systems (CHI), 2023
Presents Kaleidoscope, a novel tool for documenting and interacting with design history in studio HCI courses. We deployed this tool in an upper-level HCI course during the COVID-19 pandemic to support student learning through feedback, reflection, and interactions with project histories.
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Creative and Motivational Strategies of Expert Creative PractitionersMolly Nicholas*,Sarah Sterman*, Eric PaulosACM Conference on Creativity & Cognition (C&C), 2022
Explores how creative practitioners intentionally manage their creative process, for example by developing strategies to break out of ruts or stay motivated through uncertainty. Understanding the way experts engage with and manage creativity-relevant processes represents a rich source of foundational knowledge for designers of creativity support tools. We identify four strategies for managing process and discuss implications for the design of process-focused creativity support tools.
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Towards Creative Version ControlSarah Sterman*, Molly Nicholas*, Eric PaulosACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW), 2022
Explores how creative practitioners use version control tools and history information in creative process, and introduces four key considerations for version control in creative work: using versions as a palette of materials, providing confidence and freedom to explore, leveraging low-fidelity version capture, and reflecting on and reusing versions across long time scales. We discuss how the themes present across this wide range of mediums and domains can provide insight into future designs and uses of version control systems to support creative process.
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Interacting with Literary Style through Computational ToolsSarah Sterman, Evey Huang, Vivian Liu, Eric PaulosACM Conference on Human Factors in Computing Systems (CHI), 2020
Presents a computational technique to surface style in written text. We collect a dataset of crowdsourced human judgments of style, derive a model of style by training a neural net on this data, and present novel applications for visualizing and browsing style across broad bodies of literature, as well as an interactive text editor with real-time style feedback. We study these interactive style applications with users and discuss implications for enabling this novel approach to style.
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