MechARspace: An Authoring System Enabling Bidirectional Binding of AR with Toys in Real-time

要旨

Augmented Reality (AR), which blends physical and virtual worlds, presents the possibility of enhancing traditional toy design. By leveraging bidirectional virtual-physical interactions between humans and the designed artifact, such AR-enhanced toys can provide more playful and interactive experiences for traditional toys. However, designers are constrained by the complexity and technical difficulties of the current AR content creation processes. We propose MechARspace, an immersive authoring system that supports users to create toy-AR interactions through direct manipulation and visual programming. Based on the elicitation study, we propose a bidirectional interaction model which maps both ways: from the toy inputs to reactions of AR content, and also from the AR content to the toy reactions. This model guides the design of our system which includes a plug-and-play hardware toolkit and an in-situ authoring interface. We present multiple use cases enabled by MechARspace to validate this interaction model. Finally, we evaluate our system with a two-session user study where users first recreated a set of predefined toy-AR interactions and then implemented their own AR-enhanced toy designs.

著者
Zhengzhe Zhu
Purdue University, West Lafayette, Indiana, United States
Ziyi Liu
Purdue University, West Lafayette, Indiana, United States
Tianyi Wang
Purdue University, West Lafayette, Indiana, United States
Youyou Zhang
Purdue University, West Lafayette, Indiana, United States
Xun Qian
Purdue University, West Lafayette, Indiana, United States
Ana M. Villanueva
Purdue University, West Lafayette, Indiana, United States
Karthik Ramani
Purdue University, West Lafayette, Indiana, United States
Pashin Farsak. Raja
Purdue University, West Lafayette, Indiana, United States
論文URL

https://doi.org/10.1145/3526113.3545668

会議: UIST 2022

The ACM Symposium on User Interface Software and Technology

セッション: XR Toolkits

4 件の発表
2022-11-01 20:00:00
2022-11-01 21:00:00