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Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education. / Guneysu, Arzu; Yadollahi, Elmira; Indurkhya, Bipin.
HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction. New York: ACM, 2023. p. 142-151.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Guneysu, A, Yadollahi, E & Indurkhya, B 2023, Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education. in HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction. ACM, New York, pp. 142-151. https://doi.org/10.1145/3623809.3623855

APA

Guneysu, A., Yadollahi, E., & Indurkhya, B. (2023). Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education. In HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction (pp. 142-151). ACM. https://doi.org/10.1145/3623809.3623855

Vancouver

Guneysu A, Yadollahi E, Indurkhya B. Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education. In HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction. New York: ACM. 2023. p. 142-151 doi: 10.1145/3623809.3623855

Author

Guneysu, Arzu ; Yadollahi, Elmira ; Indurkhya, Bipin. / Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education. HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction. New York : ACM, 2023. pp. 142-151

Bibtex

@inproceedings{0f513b3d246943eb9205bcf519ad255f,
title = "Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education",
abstract = "We present here some lessons learned from observations and applications of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interaction was facilitated in real-world circumstances rather than lab settings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory studies, we outline some general design considerations and adaptation guidelines for improving the design and implementation of robotic systems in healthcare and education that might lead to more practical, feasible, and ethically sustainable results.",
author = "Arzu Guneysu and Elmira Yadollahi and Bipin Indurkhya",
year = "2023",
month = dec,
day = "4",
doi = "10.1145/3623809.3623855",
language = "English",
pages = "142--151",
booktitle = "HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education

AU - Guneysu, Arzu

AU - Yadollahi, Elmira

AU - Indurkhya, Bipin

PY - 2023/12/4

Y1 - 2023/12/4

N2 - We present here some lessons learned from observations and applications of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interaction was facilitated in real-world circumstances rather than lab settings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory studies, we outline some general design considerations and adaptation guidelines for improving the design and implementation of robotic systems in healthcare and education that might lead to more practical, feasible, and ethically sustainable results.

AB - We present here some lessons learned from observations and applications of child-robot interaction research in diverse ecosystems such as schools, therapy centers, and hospitals, where the interaction was facilitated in real-world circumstances rather than lab settings. Specifically, we use observational results from our reflections on multiple child-robot interaction practices in the wild conducted over a 9-year research period. Using these exploratory studies, we outline some general design considerations and adaptation guidelines for improving the design and implementation of robotic systems in healthcare and education that might lead to more practical, feasible, and ethically sustainable results.

U2 - 10.1145/3623809.3623855

DO - 10.1145/3623809.3623855

M3 - Conference contribution/Paper

SP - 142

EP - 151

BT - HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction

PB - ACM

CY - New York

ER -