OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera

要旨

An omni-directional (360°) camera captures the entire viewing sphere surrounding its optical center. Such cameras are growing in use to create highly immersive content and viewing experiences. When such a camera is held by a user, the view includes the user's hand grip, finger, body pose, face, and the surrounding environment, providing a complete understanding of the visual world and context around it. This capability opens up numerous possibilities for rich mobile input sensing. In OmniSense, we explore the broad input design space for mobile devices with a built-in omni-directional camera and broadly categorize them into three sensing pillars: i) near device ii) around device and iii) surrounding device. In addition we explore potential use cases and applications that leverage these sensing capabilities to solve user needs. Following this, we develop a working system to put these concepts into action, by leveraging these sensing capabilities to enable potential use cases and applications. We studied the system in a technical evaluation and a preliminary user study to gain initial feedback and insights. Collectively these techniques illustrate how a single, omni-purpose sensor on a mobile device affords many compelling ways to enable expressive input, while also affording a broad range of novel applications that improve user experience during mobile interaction.

著者
Hui-Shyong Yeo
Huawei, Shenzhen, China
Erwin Wu
Tokyo Institute of Technology, Tokyo, Japan
Daehwa Kim
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Juyoung Lee
Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of
Hyung-il Kim
KAIST, Daejeon, Korea, Republic of
Seo Young Oh
KAIST, Daejeon, Korea, Republic of
Luna Takagi
Tokyo Institute of Technology, Meguro, Tokyo, Japan
Woontack Woo
KAIST , Daejeon, Korea, Republic of
Hideki Koike
Tokyo Institute of Technology, Tokyo, Japan
Aaron J. Quigley
UNSW, Sydney, NSW, Australia
論文URL

https://doi.org/10.1145/3544548.3580747

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: More ways to use phones

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