Best Paper Award at EICS 2023

The paper XRSpotlight: Example-based Programming of XR Interactions using a Rule-based Approach received the best paper award at the EICS 2023 conference.

Congratulations to the four authors: Vittoria Frau, Lucio Davide Spano, Valentino Artizzu and Michael Nebeling.

The paper results from a collaboration between the CG3HCI lab and the Information Interaction lab at the University of Michigan, directed by prof. Michael Nebeling.

XRSpotlight is 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. The approach is based on a model abstraction that unifies existing XR toolkit implementations. XRSpotlight can find incomplete specifications of interactions, suggest similar interactions, and copy-paste interactions from examples using different toolkits. The validity of the model was assessed with professional VR developers and demonstrated that XRSpotlight helps novices understand how XR interactions are implemented in examples and apply this knowledge in their projects.