Learning effects in variable autonomy human-robot systems: How much training is enough?

Manolis Chiou; Mohammed Talha; Rustam Stolkin

doi:10.1109/SMC.2019.8914558

Learning effects in variable autonomy human-robot systems: How much training is enough?

Manolis Chiou, Mohammed Talha, Rustam Stolkin

Metallurgy and Materials

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

Abstract

This paper investigates learning effects and human operator training practices in variable autonomy robotic systems. These factors are known to affect performance of a human-robot system and are frequently overlooked. We present the results from an experiment inspired by a search and rescue scenario in which operators remotely controlled a mobile robot with either Human-Initiative (HI) or Mixed-Initiative (MI) control. Evidence suggests learning in terms of primary navigation task and secondary (distractor) task performance. Further evidence is provided that MI and HI performance in a pure navigation task is equal. Lastly, guidelines are proposed for experimental design and operator training practices.

Original language	English
Title of host publication	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	720-727
Number of pages	8
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914558
Publication status	Published - Oct 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: 6 Oct 2019 → 9 Oct 2019

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2019-October
ISSN (Print)	1062-922X

Conference

Conference	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country/Territory	Italy
City	Bari
Period	6/10/19 → 9/10/19

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/SMC.2019.8914558

Cite this

Chiou, M., Talha, M., & Stolkin, R. (2019). Learning effects in variable autonomy human-robot systems: How much training is enough? In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 720-727). Article 8914558 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/SMC.2019.8914558

Chiou, Manolis ; Talha, Mohammed ; Stolkin, Rustam. / Learning effects in variable autonomy human-robot systems : How much training is enough?. 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 720-727 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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title = "Learning effects in variable autonomy human-robot systems: How much training is enough?",

abstract = "This paper investigates learning effects and human operator training practices in variable autonomy robotic systems. These factors are known to affect performance of a human-robot system and are frequently overlooked. We present the results from an experiment inspired by a search and rescue scenario in which operators remotely controlled a mobile robot with either Human-Initiative (HI) or Mixed-Initiative (MI) control. Evidence suggests learning in terms of primary navigation task and secondary (distractor) task performance. Further evidence is provided that MI and HI performance in a pure navigation task is equal. Lastly, guidelines are proposed for experimental design and operator training practices.",

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language = "English",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

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Chiou, M, Talha, M & Stolkin, R 2019, Learning effects in variable autonomy human-robot systems: How much training is enough? in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019., 8914558, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, Institute of Electrical and Electronics Engineers (IEEE), pp. 720-727, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 6/10/19. https://doi.org/10.1109/SMC.2019.8914558

Learning effects in variable autonomy human-robot systems: How much training is enough? / Chiou, Manolis; Talha, Mohammed; Stolkin, Rustam.
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 720-727 8914558 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October).

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

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Chiou M, Talha M, Stolkin R. Learning effects in variable autonomy human-robot systems: How much training is enough? In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 720-727. 8914558. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC.2019.8914558

Learning effects in variable autonomy human-robot systems: How much training is enough?

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