Computing Object Selection Difficulty in VR using Run-time Contextual Analysis
| Autor: | Chris Zimmerer, Ronja Heinrich, Martin Fischbach, Marc Erich Latoschik, Jean-Luc Lugrin |
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| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Contrast (statistics) 020207 software engineering Context (language use) 02 engineering and technology Virtual reality Machine learning computer.software_genre Object (computer science) Context analysis Adaptive system Metric (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Selection (genetic algorithm) |
| Zdroj: | VRST |
| DOI: | 10.1145/3385956.3422089 |
| Popis: | This paper introduces a method for computing the difficulty of selection tasks in virtual environments using pointing metaphors by operationalizing an established human motor behavior model. In contrast to previous work, the difficulty is calculated automatically at run-time for arbitrary environments. We present and provide the implementation of our method within Unity 3D. The difficulty is computed based on a contextual analysis of spatial boundary conditions, i.e., target object size and shape, distance to the user, and occlusion. We believe our method will enable developers to build adaptive systems that automatically equip the user with the most appropriate selection technique according to the context. Further, it provides a standard metric to better evaluate and compare different selection techniques. |
| Databáze: | OpenAIRE |
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