@inproceedings{5938e397d7a54dc394258972812ecddd,
title = "Using augmented reality to better study human-robot interaction",
abstract = "In the field of Human-Robot Interaction, researchers often techniques such as the Wizard-of-Oz paradigms in order to better study narrow scientific questions while carefully controlling robots{\textquoteright} capabilities unrelated to those questions, especially when those other capabilities are not yet easy to automate. However, those techniques often impose limitations on the type of collaborative tasks that can be used, and the perceived realism of those tasks and the task context. In this paper, we discuss how Augmented Reality can be used to address these concerns while increasing researchers{\textquoteright} level of experimental control, and discuss both advantages and disadvantages of this approach.",
keywords = "Augmented Reality, Human-Robot Interaction, Research Methods",
author = "Tom Williams and Leanne Hirshfield and Nhan Tran and Trevor Grant and Nicholas Woodward",
year = "2020",
doi = "10.1007/978-3-030-49695-1_43",
language = "English (US)",
isbn = "9783030496944",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "643--654",
editor = "Chen, {Jessie Y.C.} and Gino Fragomeni",
booktitle = "Virtual, Augmented and Mixed Reality. Design and Interaction - 12th International Conference, VAMR 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings",
note = "12th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 ; Conference date: 19-07-2020 Through 24-07-2020",
}