Escapement: A Tool for Interactive Prototyping with Video via Sensor-Mediated Abstraction of Time

要旨

We present Escapement, a video prototyping tool that introduces a powerful new concept for prototyping screen-based interfaces by flexibly mapping sensor values to dynamic playback control of videos. This recasts the time dimension of video mock-ups as sensor-mediated interaction. This abstraction of time as interaction, which we dub video-escapement prototyping, empowers designers to rapidly explore and viscerally experience direct touch or sensor-mediated interactions across one or more device displays. Our system affords cross-device and bidirectional remote (tele-present) experiences via cloud-based state sharing across multiple devices. This makes Escapement especially potent for exploring multi-device, dual-screen, or remote-work interactions for screen-based applications. We introduce the core concept of sensor-mediated abstraction of time for quickly generating video-based interactive prototypes of screen-based applications, share the results of observations of long-term usage of video-escapement techniques with experienced interaction designers, and articulate design choices for supporting a reflective, iterative, and open-ended creative design process.

著者
Molly Jane Nicholas
UC Berkeley, Berkeley, California, United States
Nicolai Marquardt
University College London, London, United Kingdom
Michel Pahud
Microsoft Research, Redmond, Washington, United States
Nathalie Riche
Microsoft Research, Redmond, Washington, United States
Hugo Romat
Microsoft, Seattle, Washington, United States
Christopher Collins
Ontario Tech University, Oshawa, Ontario, Canada
David Ledo
Autodesk Research, Toronto, Ontario, Canada
Rohan Kadekodi
University of Texas, Austin, Austin, Texas, United States
Badrish Chandramouli
Microsoft Research, Redmond, Washington, United States
Ken Hinckley
Microsoft Research, Redmond, Washington, United States
論文URL

https://doi.org/10.1145/3544548.3581115

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Videos

Hall A
6 件の発表
2023-04-27 01:35:00
2023-04-27 03:00:00