A Design Space for Intelligent and Interactive Writing Assistants

要旨

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to examine and explore the multidimensional space of intelligent and interactive writing assistants. Through community collaboration, we explore five aspects of writing assistants: task, user, technology, interaction, and ecosystem. Within each aspect, we define dimensions and codes by systematically reviewing 115 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.

著者
Mina Lee
Microsoft Research, New York, New York, United States
Katy Ilonka. Gero
Harvard University, Cambridge, Massachusetts, United States
John Joon Young. Chung
Midjourney, San Francisco, California, United States
Simon Buckingham Shum
University of Technology Sydney, Sydney, New South Wales, Australia
Vipul Raheja
Grammarly, New York, New York, United States
Hua Shen
University of Michigan, Ann Arbor, Michigan, United States
Subhashini Venugopalan
Google, Mountain View, California, United States
Thiemo Wambsganss
Bern University of Applied Sciences, Bern, Switzerland
David Zhou
University of Illinois Urbana-Champaign, Urbana, Illinois, United States
Emad A.. Alghamdi
King Abdulaziz University, Jeddah, Saudi Arabia
Tal August
University of Washington, Seattle, Washington, United States
Avinash Bhat
McGill University, Montreal, Quebec, Canada
Madiha Zahrah Choksi
Cornell Tech, New York, New York, United States
Senjuti Dutta
University of Tennessee, Knoxville, Knoxville, Tennessee, United States
Jin L.C. Guo
McGill University, Montreal, Quebec, Canada
Md Naimul Hoque
University of Maryland, College Park, Maryland, United States
Yewon Kim
KAIST, Daejeon, Korea, Republic of
Simon Knight
University of Technology Sydney, Sydney, NSW, Australia
Seyed Parsa Neshaei
EPFL, Lausanne, Switzerland
Antonette Shibani
University of Technology Sydney, Sydney, New South Wales, Australia
Disha Shrivastava
Google DeepMind, London, United Kingdom
Lila Shroff
Stanford University, Stanford, California, United States
Agnia Sergeyuk
JetBrains Research, Belgrade, Serbia and Montenegro
Jessi Stark
University of Toronto, Toronto, Ontario, Canada
Sarah Sterman
University of Illinois, Urbana-Champaign, Urbana, Illinois, United States
Sitong Wang
Columbia University, New York, New York, United States
Antoine Bosselut
EPFL, Lausanne, Switzerland
Daniel Buschek
University of Bayreuth, Bayreuth, Germany
Joseph Chee Chang
Allen Institute for AI, Seattle, Washington, United States
Sherol Chen
Google, Mountain View, California, United States
Max Kreminski
Midjourney, San Francisco, California, United States
Joonsuk Park
University of Richmond, Richmond, Virginia, United States
Roy Pea
Stanford University, Stanford, California, United States
Eugenia H. Rho
Virginia Tech, Blacksburg, Virginia, United States
Zejiang Shen
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Pao Siangliulue
B12, New York, New York, United States
論文URL

https://doi.org/10.1145/3613904.3642697

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Writing, Sketching and AI

318B
4 件の発表
2024-05-14 01:00:00
2024-05-14 02:20:00