Inkeraction: An Interaction Modality Powered by Ink Recognition and Synthesis

要旨

Ink is a powerful medium for note-taking and creativity tasks. Multi-touch devices and stylus input have enabled digital ink to be editable and searchable. To extend the capabilities of digital ink, we introduce Inkeraction, an interaction modality powered by ink recognition and synthesis. Inkeraction segments and classifies digital ink objects (e.g., handwriting and sketches), identifies relationships between them, and generates strokes in different writing styles. Inkeraction reshapes the design space for digital ink by enabling features that include: (1) assisting users to manipulate ink objects, (2) providing word-processor features such as spell checking, (3) automating repetitive writing tasks such as transcribing, and (4) bridging with generative models' features such as brainstorming. Feedback from two user studies with a total of 22 participants demonstrated that Inkeraction supported writing activities by enabling participants to write faster with fewer steps and achieve better writing quality.

著者
Lei Shi
Google Research, Mountain View, California, United States
Rachel Campbell
Google Inc., Melbourne, Australia
Peggy Chi
Google Research, Mountain View, California, United States
Maria Cirimele
Google Inc., Stockholm, Sweden
Mike Cleron
Google Research, Mountain View, California, United States
Kirsten Climer
Google Research, Mountain View, California, United States
Chelsey Q. Fleming
Google Research, West Hollywood, California, United States
Ashwin Ganti
Google Research, Mountain View, California, United States
Philippe Gervais
Google Research, Zurich, Switzerland
Pedro Gonnet
Google Research, Zurich, Switzerland
Tayeb A. Karim
Google Inc., Cambridge, Massachusetts, United States
Andrii Maksai
Google Research, Zurich, Switzerland
Chris Melancon
Google Research, Mountain View, California, United States
Rob Mickle
Google Inc., Boulder, Colorado, United States
Claudiu Musat
Google Research, Zurich, Switzerland
Palash Nandy
Google Research, Mountain View, California, United States
Xiaoyu Iris Qu
Google Research, New York, New York, United States
David Robishaw
Google Research, Mountain View, California, United States
Angad Singh
Google Research, Cambridge, Massachusetts, United States
Mathangi Venkatesan
Google Research, Mountain View, California, United States
論文URL

https://doi.org/10.1145/3613904.3642498

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: Creativity Tools

323C
5 件の発表
2024-05-16 01:00:00
2024-05-16 02:20:00