Using augmented reality to better study human-robot interaction

Tom Williams; Leanne Hirshfield; Nhan Tran; Trevor Grant; Nicholas Woodward

doi:10.1007/978-3-030-49695-1_43

Using augmented reality to better study human-robot interaction

Tom Williams, Leanne Hirshfield, Nhan Tran, Trevor Grant, Nicholas Woodward

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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’ 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.

Original language	English (US)
Title of host publication	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
Editors	Jessie Y.C. Chen, Gino Fragomeni
Publisher	Springer
Pages	643-654
Number of pages	12
ISBN (Print)	9783030496944
DOIs	https://doi.org/10.1007/978-3-030-49695-1_43
State	Published - 2020
Externally published	Yes
Event	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 - Copenhagen, Denmark Duration: Jul 19 2020 → Jul 24 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12190 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	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
Country	Denmark
City	Copenhagen
Period	7/19/20 → 7/24/20

Keywords

Augmented Reality
Human-Robot Interaction
Research Methods

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-49695-1_43

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Cite this

Williams, T., Hirshfield, L., Tran, N., Grant, T., & Woodward, N. (2020). Using augmented reality to better study human-robot interaction. In J. Y. C. Chen, & G. Fragomeni (Eds.), 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 (pp. 643-654). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12190 LNCS). Springer. https://doi.org/10.1007/978-3-030-49695-1_43

Using augmented reality to better study human-robot interaction. / Williams, Tom; Hirshfield, Leanne; Tran, Nhan; Grant, Trevor; Woodward, Nicholas.

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. ed. / Jessie Y.C. Chen; Gino Fragomeni. Springer, 2020. p. 643-654 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12190 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Williams, T, Hirshfield, L, Tran, N, Grant, T & Woodward, N 2020, Using augmented reality to better study human-robot interaction. in JYC Chen & G Fragomeni (eds), 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12190 LNCS, Springer, pp. 643-654, 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, Copenhagen, Denmark, 7/19/20. https://doi.org/10.1007/978-3-030-49695-1_43

Williams T, Hirshfield L, Tran N, Grant T, Woodward N. Using augmented reality to better study human-robot interaction. In Chen JYC, Fragomeni G, editors, 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. Springer. 2020. p. 643-654. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-49695-1_43

Williams, Tom ; Hirshfield, Leanne ; Tran, Nhan ; Grant, Trevor ; Woodward, Nicholas. / Using augmented reality to better study human-robot interaction. 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. editor / Jessie Y.C. Chen ; Gino Fragomeni. Springer, 2020. pp. 643-654 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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