交互式小片段:实现大规模交互式HRI研究

Wen-Ying Lee, Mose Sakashita, E. Ricci, Houston Claure, François Guimbretière, Malte F. Jung
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引用次数: 4

摘要

我们建议使用交互式小片段来替代传统的基于文本和视频的小片段来进行大规模的人机交互(HRI)研究。交互式小片段保留了传统小片段的优点,同时通过交互式元素为参与者交互和数据收集提供了额外的支持。我们讨论了交互式小片段的核心功能,包括可探索性、响应性和非线性,并研究了这些功能如何使HRI研究具有更复杂的场景。为了证明这种方法的优势,我们提出了一个我们自己的研究项目的案例研究,其中有N=87名参与者,并展示了我们通过互动小插曲收集的数据。我们建议使用交互式小片段可以使HRI研究人员了解参与者如何在预定义的场景中与机器人互动、响应和感知机器人的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive Vignettes: Enabling Large-Scale Interactive HRI Research
We propose the use of interactive vignettes as an alternative to traditional text- and video-based vignettes for conducting large-scale Human-Robot Interaction (HRI) studies. Interactive vignettes maintain the advantages of traditional vignettes while offering additional affordances for participant interaction and data collection through interactive elements. We discuss the core affordances of interactive vignettes, including explorability, responsiveness, and non-linearity, and look into how these affordances can enable HRI research with more complex scenarios. To demonstrate the strength of the approach, we present a case study of our own research project with N=87 participants and show the data we collect through interactive vignettes. We suggest that the use of interactive vignettes can benefit HRI researchers in learning how participants interact with, respond to, and perceive a robot’s behavior in pre-defined scenarios.
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