A Novel Online Robot Design Research Platform to Determine Robot Mind Perception

Daniel E. Pittman; Kerstin S. Haring; Pilyoung Kim; Benjamin Dossett; Gillian Ehman; Elizabeth Gutierrez-Gutierrez; Sneha Patil; Ashley Sanchez

doi:10.1109/HRI53351.2022.9889539

A Novel Online Robot Design Research Platform to Determine Robot Mind Perception

Daniel E. Pittman, Kerstin S. Haring, Pilyoung Kim, Benjamin Dossett, Gillian Ehman, Elizabeth Gutierrez-Gutierrez, Sneha Patil, Ashley Sanchez

Department of Psychology

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

3 Scopus citations

Abstract

A common issue in Human-Robot Interaction is a gap in understanding how robot designs are perceived by the user. A common issue encountered by practitioners of Machine Learning (ML) is a lack of salient data to use in training. The 'Build-A-Bot' project is developing a novel research platform implemented as a web-accessible 3D game that affords data collection of many user-provided robot designs. The designs are used to train ML models to better evaluate robot designs, predict how a design will be perceived using Convolutional Neural Networks (CNNs), and create new robot designs using Generative Adversarial Networks (GANs). This paper outlines the current and future work accomplished by an interdisciplinary undergraduate student team at the University of Denver across Computer Science, Music, Psychology, and other related STEM fields that have created Build-A-Bot.

Original language	English
Title of host publication	HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE Computer Society
Pages	986-990
Number of pages	5
ISBN (Electronic)	9781538685549
DOIs	https://doi.org/10.1109/HRI53351.2022.9889539
State	Published - 2022
Event	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan Duration: 7 Mar 2022 → 10 Mar 2022

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
Volume	2022-March
ISSN (Electronic)	2167-2148

Conference

Conference	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/Territory	Japan
City	Sapporo
Period	7/03/22 → 10/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

fNIRS
machine learning
robot design

Access to Document

10.1109/HRI53351.2022.9889539

Cite this

Pittman, D. E., Haring, K. S., Kim, P., Dossett, B., Ehman, G., Gutierrez-Gutierrez, E., Patil, S., & Sanchez, A. (2022). A Novel Online Robot Design Research Platform to Determine Robot Mind Perception. In HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (pp. 986-990). (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March). IEEE Computer Society. https://doi.org/10.1109/HRI53351.2022.9889539

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title = "A Novel Online Robot Design Research Platform to Determine Robot Mind Perception",

abstract = "A common issue in Human-Robot Interaction is a gap in understanding how robot designs are perceived by the user. A common issue encountered by practitioners of Machine Learning (ML) is a lack of salient data to use in training. The 'Build-A-Bot' project is developing a novel research platform implemented as a web-accessible 3D game that affords data collection of many user-provided robot designs. The designs are used to train ML models to better evaluate robot designs, predict how a design will be perceived using Convolutional Neural Networks (CNNs), and create new robot designs using Generative Adversarial Networks (GANs). This paper outlines the current and future work accomplished by an interdisciplinary undergraduate student team at the University of Denver across Computer Science, Music, Psychology, and other related STEM fields that have created Build-A-Bot.",

keywords = "fNIRS, machine learning, robot design",

author = "Pittman, {Daniel E.} and Haring, {Kerstin S.} and Pilyoung Kim and Benjamin Dossett and Gillian Ehman and Elizabeth Gutierrez-Gutierrez and Sneha Patil and Ashley Sanchez",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 ; Conference date: 07-03-2022 Through 10-03-2022",

year = "2022",

doi = "10.1109/HRI53351.2022.9889539",

language = "English",

series = "ACM/IEEE International Conference on Human-Robot Interaction",

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Pittman, DE, Haring, KS, Kim, P, Dossett, B, Ehman, G, Gutierrez-Gutierrez, E, Patil, S & Sanchez, A 2022, A Novel Online Robot Design Research Platform to Determine Robot Mind Perception. in HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, vol. 2022-March, IEEE Computer Society, pp. 986-990, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, Sapporo, Japan, 7/03/22. https://doi.org/10.1109/HRI53351.2022.9889539

A Novel Online Robot Design Research Platform to Determine Robot Mind Perception. / Pittman, Daniel E.; Haring, Kerstin S.; Kim, Pilyoung et al.
HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2022. p. 986-990 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March).

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

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Pittman DE, Haring KS, Kim P, Dossett B, Ehman G, Gutierrez-Gutierrez E et al. A Novel Online Robot Design Research Platform to Determine Robot Mind Perception. In HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society. 2022. p. 986-990. (ACM/IEEE International Conference on Human-Robot Interaction). doi: 10.1109/HRI53351.2022.9889539

A Novel Online Robot Design Research Platform to Determine Robot Mind Perception

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this