Passages: Interacting with Text Across Documents

要旨

A key aspect of knowledge work is the analysis and manipulation of sets of related documents. We conducted interviews with 12 patent examiners and 12 scientists and found that all use specialized tools for managing text from multiple documents across various interconnected activities, including searching, collecting, annotating, organizing, writing and reviewing, while manually tracking their provenance. We introduce Passages, interactive objects that reify text selections that can then be manipulated, reused, and shared across multiple tools. Passages directly supports the above-listed activities as well as fluid transitions among them, e.g. through drag-and-drop across windows. Two user studies show that participants found Passages both elegant and powerful, facilitating their work practices and enabling greater reuse and novel strategies for analyzing and composing documents. We argue that Passages offers a general approach applicable to a wide variety of text-based interactions.

受賞
Honorable Mention
著者
Han L.. Han
Université Paris-Saclay, CNRS, Inria, Orsay, France
Junhang Yu
Université Paris-Saclay, CNRS, Inria, Orsay, France
Alexandre Ciorascu
Université Paris-Saclay, CNRS, Inria, Orsay, France
Raphael Bournet
Université Paris-Saclay, CNRS, Inria, Orsay, France
Wendy E.. Mackay
Université Paris-Saclay, CNRS, Inria, Orsay, France
Michel Beaudouin-Lafon
Université Paris-Saclay, CNRS, Inria, Orsay, France
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3502052

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Text & Pen

286–287
4 件の発表
2022-05-03 01:15:00
2022-05-03 02:30:00