XRSpotlight: Example-based Programming of XR Interactions using a Rule-based Approach-Reference-Cited by-同舟云学术

XRSpotlight: Example-based Programming of XR Interactions using a Rule-based Approach

Published:2023-06-14 Issue:EICS Volume:7 Page:1-28
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Frau Vittoria¹^ORCID,Spano Lucio Davide¹^ORCID,Artizzu Valentino¹^ORCID,Nebeling Michael²^ORCID

Affiliation:

1. University of Cagliari, Cagliari, Italy

2. University of Michigan, Ann Arbor, MI, USA

Abstract

Research on enabling novice AR/VR developers has emphasized the need to lower the technical barriers to entry. This is often achieved by providing new authoring tools that provide simpler means to implement XR interactions through abstraction. However, novices are then bound by the ceiling of each tool and may not form the correct mental model of how interactions are implemented. We present XRSpotlight, a system that supports novices by curating a list of the XR interactions defined in a Unity scene and presenting them as rules in natural language. Our approach is based on a model abstraction that unifies existing XR toolkit implementations. Using our model, XRSpotlight can find incomplete specifications of interactions, suggest similar interactions, and copy-paste interactions from examples using different toolkits. We assess the validity of our model with professional VR developers and demonstrate that XRSpotlight helps novices understand how XR interactions are implemented in examples and apply this knowledge in their projects.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3593237

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