Name
Abstract | ||
|---|---|---|
Due to the nature of Virtual Reality (VR) research, conducting experiments in order to validate the researcher's hypotheses is a must. However, the development of such experiments is a tedious and time-consuming task. In this work, we propose to make this task easier, more intuitive and faster with a method able to describe and generate the most tedious components of VR experiments. The main objective is to let experiment designers focus on their core tasks: designing, conducting, and reporting experiments. To that end, we propose the use of Domain-Specific Languages (DSLs) to ease the description and generation of VR experiments. An analysis of published VR experiments is used to identify the main properties that characterize VR experiments. This allowed us to design AGENT (Automatic Generation of ExperimeNtal proTocol runtime), a DSL for specifying and generating experimental protocol runtimes. We demonstrated the feasibility of our approach by using AGENT on two experiments published in the VRST'16 proceedings.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3139131.3139152 | VRST |
Keywords | Field | DocType |
Automatic generation of experiments, Domain-Specific Language, reusability | Domain-specific language,Virtual reality,Computer science,Digital subscriber line,Simulation,Human–computer interaction,Reusability | Conference |
ISBN | Citations | PageRank |
978-1-4503-5548-3 | 0 | 0.34 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwendal Le Moulec | 1 | 1 | 0.69 |
| Ferran Argelaguet | 2 | 261 | 32.57 |
| Valérie Gouranton | 3 | 206 | 34.44 |
| Arnaud Blouin | 4 | 187 | 16.21 |
| Bruno Arnaldi | 5 | 403 | 50.52 |