Interactive Vignettes: Enabling Large-Scale Interactive HRI Research

Autor: Wen-Ying Lee, Malte F. Jung, Elizabeth Ricci, Mose Sakashita, Houston Claure, François Guimbretière
Rok vydání: 2021
Předmět:
Zdroj: RO-MAN
DOI: 10.1109/ro-man50785.2021.9515376
Popis: 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.
Databáze: OpenAIRE