Challenges of a real-world HRI study with non-native English speakers : can personalisation save the day?
- Author
- Bahar Irfan, Mehdi Hellou, Alexandre Mazel and Tony Belpaeme (UGent)
- Organization
- Abstract
- Real-world studies allow for testing the limits of HRI systems and observing how people react to failures. We developed a fully autonomous personalised barista robot and deployed the robot on an international student campus for five days. We experienced several challenges, the most important one being speech recognition failures due to foreign accents. Nonetheless, these failures showed a different perspective on HRI, and we demonstrate how personalisation can overcome a negative user experience.
- Keywords
- Personalisation, Real-World Study, Natural Language Interaction
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8659496
- MLA
- Irfan, Bahar, et al. “Challenges of a Real-World HRI Study with Non-Native English Speakers : Can Personalisation Save the Day?” HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, Association for Computing Machinery (ACM), 2020, pp. 272–74, doi:10.1145/3371382.3378278.
- APA
- Irfan, B., Hellou, M., Mazel, A., & Belpaeme, T. (2020). Challenges of a real-world HRI study with non-native English speakers : can personalisation save the day? HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 272–274. https://doi.org/10.1145/3371382.3378278
- Chicago author-date
- Irfan, Bahar, Mehdi Hellou, Alexandre Mazel, and Tony Belpaeme. 2020. “Challenges of a Real-World HRI Study with Non-Native English Speakers : Can Personalisation Save the Day?” In HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 272–74. Association for Computing Machinery (ACM). https://doi.org/10.1145/3371382.3378278.
- Chicago author-date (all authors)
- Irfan, Bahar, Mehdi Hellou, Alexandre Mazel, and Tony Belpaeme. 2020. “Challenges of a Real-World HRI Study with Non-Native English Speakers : Can Personalisation Save the Day?” In HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 272–274. Association for Computing Machinery (ACM). doi:10.1145/3371382.3378278.
- Vancouver
- 1.Irfan B, Hellou M, Mazel A, Belpaeme T. Challenges of a real-world HRI study with non-native English speakers : can personalisation save the day? In: HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION. Association for Computing Machinery (ACM); 2020. p. 272–4.
- IEEE
- [1]B. Irfan, M. Hellou, A. Mazel, and T. Belpaeme, “Challenges of a real-world HRI study with non-native English speakers : can personalisation save the day?,” in HRI’20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, Cambridge, ENGLAND, 2020, pp. 272–274.
@inproceedings{8659496,
abstract = {{Real-world studies allow for testing the limits of HRI systems and observing how people react to failures. We developed a fully autonomous personalised barista robot and deployed the robot on an international student campus for five days. We experienced several challenges, the most important one being speech recognition failures due to foreign accents. Nonetheless, these failures showed a different perspective on HRI, and we demonstrate how personalisation can overcome a negative user experience.}},
author = {{Irfan, Bahar and Hellou, Mehdi and Mazel, Alexandre and Belpaeme, Tony}},
booktitle = {{HRI'20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION}},
isbn = {{9781450370578}},
issn = {{2167-2121}},
keywords = {{Personalisation,Real-World Study,Natural Language Interaction}},
language = {{eng}},
location = {{Cambridge, ENGLAND}},
pages = {{272--274}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{Challenges of a real-world HRI study with non-native English speakers : can personalisation save the day?}},
url = {{http://doi.org/10.1145/3371382.3378278}},
year = {{2020}},
}
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