TY - GEN
T1 - Using augmented reality to better study human-robot interaction
AU - Williams, Tom
AU - Hirshfield, Leanne
AU - Tran, Nhan
AU - Grant, Trevor
AU - Woodward, Nicholas
N1 - Funding Information:
This work was funded in part by grant IIS-1909864 from the National Science Foundation.
Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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’ 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’ level of experimental control, and discuss both advantages and disadvantages of this approach.
AB - 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’ 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’ level of experimental control, and discuss both advantages and disadvantages of this approach.
KW - Augmented Reality
KW - Human-Robot Interaction
KW - Research Methods
UR - http://www.scopus.com/inward/record.url?scp=85088527885&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-49695-1_43
DO - 10.1007/978-3-030-49695-1_43
M3 - Conference contribution
AN - SCOPUS:85088527885
SN - 9783030496944
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 643
EP - 654
BT - 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
A2 - Chen, Jessie Y.C.
A2 - Fragomeni, Gino
PB - Springer
T2 - 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
Y2 - 19 July 2020 through 24 July 2020
ER -