Text2SceneVR
Giuseppe Abrami, Alexander Henlein, Attila Kett, Alexander Mehler · 2020
The automatic generation of digital scenes from texts is a central task of computer science. This task requires a kind of text comprehension, the automation of which is tied to the availability of sufficiently large, diverse and deeply annotated data, which is freely available. This paper introduces Text2SceneVR, a system that addresses this bottleneck problem by allowing its users to create a sort of spatial hypertexts in Virtual Reality (VR). We describe Text2SceneVR's data model, its user interface and a number of problems related to the implicitness of natural language in the manifestation of spatial relations that Text2SceneVR aims to address while trying to remain language independent. Finally, we present a user study with which we evaluated Text2SceneVR.