A Tool for Organizing Key Characteristics of Virtual, Augmented, and Mixed Reality for Human–Robot Interaction Systems: Synthesizing VAM-HRI Trends and Takeaways
| Autor: | Thomas R. Groechel, Michael E. Walker, Christine T. Chang, Eric Rosen, Jessica Zosa Forde |
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| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Robotics 0209 industrial biotechnology 020901 industrial engineering & automation Control and Systems Engineering Computer Science - Human-Computer Interaction 02 engineering and technology Electrical and Electronic Engineering Robotics (cs.RO) Human-Computer Interaction (cs.HC) Computer Science Applications |
| Zdroj: | IEEE Robotics & Automation Magazine. 29:35-44 |
| ISSN: | 1558-223X 1070-9932 |
| DOI: | 10.1109/mra.2021.3138383 |
| Popis: | Frameworks have begun to emerge to categorize Virtual, Augmented, and Mixed Reality (VAM) technologies that provide immersive, intuitive interfaces to facilitate Human-Robot Interaction. These frameworks, however, fail to capture key characteristics of the growing subfield of VAM-HRI and can be difficult to consistently apply due to continuous scales. This work builds upon these prior frameworks through the creation of a Tool for Organizing Key Characteristics of VAM-HRI Systems (TOKCS). TOKCS discretizes the continuous scales used within prior works for more consistent classification and adds additional characteristics related to a robot's internal model, anchor locations, manipulability, and the system's software and hardware. To showcase the tool's capability, TOKCS is applied to the ten papers from the fourth VAM-HRI workshop and examined for key trends and takeaways. These trends highlight the expressive capability of TOKCS while also helping frame newer trends and future work recommendations for VAM-HRI research. Accepted to Robotics and Automation Magazine Special Issue on Extended Reality in Robotics |
| Databáze: | OpenAIRE |
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