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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

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 proceedingConference contribution

Harvard

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

APA

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). [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

Vancouver

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). https://doi.org/10.1109/SMC.2019.8914558

Author

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).

Bibtex

@inproceedings{23f4b9f1cf904c56bee8ef0fc7281536,
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.",
author = "Manolis Chiou and Mohammed Talha and Rustam Stolkin",
year = "2019",
month = oct,
doi = "10.1109/SMC.2019.8914558",
language = "English",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "720--727",
booktitle = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019",
note = "2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 ; Conference date: 06-10-2019 Through 09-10-2019",

}

RIS

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T1 - Learning effects in variable autonomy human-robot systems

T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019

AU - Chiou, Manolis

AU - Talha, Mohammed

AU - Stolkin, Rustam

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85076780123&partnerID=8YFLogxK

U2 - 10.1109/SMC.2019.8914558

DO - 10.1109/SMC.2019.8914558

M3 - Conference contribution

AN - SCOPUS:85076780123

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 720

EP - 727

BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 6 October 2019 through 9 October 2019

ER -