RISE:一个开源架构,用于跨学科和可复制的人机交互研究
André Groß1,2, Christian Schütze1,2, Mara Brandt2,3
1Medical Assistance Systems, Medical School OWL, Bielefeld University, Bielefeld, Germany.
Frontiers in robotics and AI
|December 22, 2023
概括
我们介绍了RISE,这是一个开源架构,用于设计人机交互 (HRI) 研究. RISE提高了研究可重现性,并支持机器人学领域的跨学科合作.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与机器人的交互 (HRI)
- 计算机科学 计算机科学
背景情况:
- 在HRI研究中,跨学科性至关重要.
- 目前的HRI研究往往缺乏可复制性.
- 现有的工具对集成的HRI研究有局限性.
研究的目的:
- 介绍RISE,一个用于HRI研究的开源架构.
- 解决跨学科支持和研究可重复性的需求.
- 为HRI研究社区提供一个可访问的平台.
主要方法:
- 对现有机器人工具的文献审查.
- 开发一个可扩展架构 (RISE).
- 实现一个图形用户界面 (GUI) 的对话管理和内省.
- 支持"奥兹魔法师"研究和明确对话建模.
主要成果:
- RISE架构促进了跨学科的HRI研究.
- 图形界面使机器人行为和对话状态的清晰可视化.
- 显式对话模型和配置增强了透明度.
- 模块化设计允许整合外部功能和传感器.
结论:
- RISE为HRI研究提供了一个可复制和可访问的框架.
- 该架构支持多样化的研究需求,并促进合作.
- RISE可扩展,以适应新的机器人和交互方式.
相关概念视频
01:50Cross-Sectional Research
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01:16Crossover Experiments
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.