e: david23 illinois edu
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Hi there! I’m a PhD candidate in the Department of Computer Science at the University of Illinois Urbana-Champaign. I am thankful to be advised by Professor Sarah Sterman in the Process, Interaction, and Creativity Lab. My interests lie in the design and evaluation of writing and creativity support tools. I am most interested in systems that support the creative process, metacognition, and flow.
I’m from Arizona and attended ASU for CS and Math. I love reading, music, and nature. I also work at the Japan House (at UIUC)—surrounding it is a tranquil garden that is perfect for walking. °❀⋆.ೃ࿔*:•
♪♪ some covers ♫♫
Astor Piazzolla – La Muerte del Angel, Libertango, Vuelvo al Sur
☾ ⋆*･‧₊˚♪ 𝄞₊˚⊹:⋆*･:⠀ *⋆.*⋆:･ .:: ⋆*･: .⋆.
“What is the meaning of life? That was all—a simple question; one that tended to close in on one with years. The great revelation had never come. The great revelation perhaps never did come. Instead there were little daily miracles, illuminations, matches struck unexpectedly in the dark; here was one.”
⊹ Virginia Woolf, To The Lighthouse
Selected Works
Thoughtful, Confused, or Untrustworthy: How Text is Displayed Influences Perceptions of AI Writing Tools
⊹ David Zhou, John Gallagher, Sarah Sterman
In this paper, we analyze the effects of varying text generation speed in professional and creative writing scenarios on an online platform. We find that a medium presentation speed is the most comfortable to read and that speed is correlated with perceived agency and trustworthiness of the AI tool, as well as the perceived quality of the generated text.
Ai.llude: Encouraging Rewriting AI-Generated Text to Support Creative Expression
⊹ David Zhou, Sarah Sterman
Imperfect intermediate text is an AI text completion design that contains useful ideas but must be rewritten to be coherent. This paper discusses how writers rewrite AI text and shows that intermediate text significantly increases rewriting over vanilla text completions, supporting high level decision making and the reflective parts of writing.
A Design Space for Intelligent and Interactive Writing Assistants
⊹ Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L.C. Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue
We explore five aspects of writing assistants: task, user, technology, interaction, and ecosystem. Within each aspect, we define dimensions and codes by systematically reviewing 120 papers while leveraging the expertise of researchers in various disciplines. Our design space aims to offer researchers and designers a practical tool to navigate, comprehend, and compare the various possibilities of writing assistants, and aid in the design of new writing assistants.
Writing Process Graphs as Endpoints for AI Writing Assistance
⊹ David Zhou, Andrew Chen, Sarah Sterman
AI writing assistance is powerful but may sometimes be distracting if the wrong type of help is provided. In this workshop paper, we propose writing process graphs, which are created from raw text input and designed to communicate writing process to AI assistance. These structures help provide timely and relevant assistance that is helpful for a writer’s current difficulties and goals.
CHI 2024 In2Writing Workshop
Creative Struggle: Arguing for the Value of Difficulty in Supporting Ownership and Self-Expression in Creative Writing
⊹ David Zhou, Sarah Sterman
In this position paper, we argue that deep thinking about expression, or creative struggle, is a necessary piece for supporting ownership over one’s writing. This concept was the original inspiration for ai.llude.
CHI 2023 In2Writing Workshop