Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases

Daniel Majonica; Nardie Fanchamps; Deniz Iren; Roland Klemke

doi:10.1007/978-3-031-49065-1_26

Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases

Daniel Majonica^*, Nardie Fanchamps, Deniz Iren, Roland Klemke

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

Abstract

This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.

Original language	English
Title of host publication	Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings
Subtitle of host publication	12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings
Editors	Pierpaolo Dondio, Mariana Rocha, Attracta Brennan, Avo Schönbohm, Francesca de Rosa, Antti Koskinen, Francesco Bellotti
Publisher	Springer, Cham
Pages	267-276
Number of pages	10
ISBN (Electronic)	9783031490651
ISBN (Print)	9783031490644
DOIs	https://doi.org/10.1007/978-3-031-49065-1_26
Publication status	Published - 2024
Event	12th International Conference, GALA 2023 - Dublin, Ireland Duration: 29 Nov 2023 → 1 Dec 2023 https://conf.seriousgamessociety.org/

Publication series

Series	Lecture Notes in Computer Science
Volume	14475
ISSN	0302-9743

Conference

Conference	12th International Conference, GALA 2023
Country/Territory	Ireland
City	Dublin
Period	29/11/23 → 1/12/23
Internet address	https://conf.seriousgamessociety.org/

Access to Document

10.1007/978-3-031-49065-1_26

Cite this

Majonica, D., Fanchamps, N., Iren, D., & Klemke, R. (2024). Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. In P. Dondio, M. Rocha, A. Brennan, A. Schönbohm, F. de Rosa, A. Koskinen, & F. Bellotti (Eds.), Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings (pp. 267-276). Springer, Cham. https://doi.org/10.1007/978-3-031-49065-1_26

Majonica, Daniel ; Fanchamps, Nardie ; Iren, Deniz et al. / Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings. editor / Pierpaolo Dondio ; Mariana Rocha ; Attracta Brennan ; Avo Schönbohm ; Francesca de Rosa ; Antti Koskinen ; Francesco Bellotti. Springer, Cham, 2024. pp. 267-276 (Lecture Notes in Computer Science, Vol. 14475).

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title = "Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases",

abstract = "This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.",

author = "Daniel Majonica and Nardie Fanchamps and Deniz Iren and Roland Klemke",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; 12th International Conference, GALA 2023 ; Conference date: 29-11-2023 Through 01-12-2023",

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doi = "10.1007/978-3-031-49065-1_26",

language = "English",

isbn = "9783031490644",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham",

pages = "267--276",

editor = "Pierpaolo Dondio and Mariana Rocha and Attracta Brennan and Avo Sch{\"o}nbohm and {de Rosa}, Francesca and Antti Koskinen and Francesco Bellotti",

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Majonica, D , Fanchamps, N , Iren, D & Klemke, R 2024, Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. in P Dondio, M Rocha, A Brennan, A Schönbohm, F de Rosa, A Koskinen & F Bellotti (eds), Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings. Springer, Cham, Lecture Notes in Computer Science, vol. 14475, pp. 267-276, 12th International Conference, GALA 2023, Dublin, Ireland, 29/11/23. https://doi.org/10.1007/978-3-031-49065-1_26

Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. / Majonica, Daniel ; Fanchamps, Nardie ; Iren, Deniz et al.
Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings. ed. / Pierpaolo Dondio; Mariana Rocha; Attracta Brennan; Avo Schönbohm; Francesca de Rosa; Antti Koskinen; Francesco Bellotti. Springer, Cham, 2024. p. 267-276 (Lecture Notes in Computer Science, Vol. 14475).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases

AU - Majonica, Daniel

AU - Fanchamps, Nardie

AU - Iren, Deniz

AU - Klemke, Roland

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2024

Y1 - 2024

N2 - This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.

AB - This paper describes a focus group study that explores immersive learning in the field of Human-Robot Interaction (HRI). We examine four categories of HRI cases: robot-led, human-led, autonomous, and collaborative. For each case, we evaluate the potential risks and human learning outcomes. Our findings include interaction styles that can be applied in HRI as well as the directionality and (multi)modality of these interaction styles. We identified several areas of risk, including miscommunication, privacy concerns, and injuries. Lastly, we explored common human learning outcomes based on the interaction categories. Our findings fill a gap in the literature by providing an analysis of immersive learning outcomes and risks in the field of HRI. Our results contribute towards the establishment of a framework that can improve the development of immersive learning environments.

U2 - 10.1007/978-3-031-49065-1_26

DO - 10.1007/978-3-031-49065-1_26

M3 - Conference Article in proceeding

SN - 9783031490644

T3 - Lecture Notes in Computer Science

SP - 267

EP - 276

BT - Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings

A2 - Dondio, Pierpaolo

A2 - Rocha, Mariana

A2 - Brennan, Attracta

A2 - Schönbohm, Avo

A2 - de Rosa, Francesca

A2 - Koskinen, Antti

A2 - Bellotti, Francesco

PB - Springer, Cham

T2 - 12th International Conference, GALA 2023

Y2 - 29 November 2023 through 1 December 2023

ER -

Majonica D , Fanchamps N , Iren D , Klemke R. Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. In Dondio P, Rocha M, Brennan A, Schönbohm A, de Rosa F, Koskinen A, Bellotti F, editors, Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings. Springer, Cham. 2024. p. 267-276. (Lecture Notes in Computer Science, Vol. 14475). doi: 10.1007/978-3-031-49065-1_26

Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases

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