Physiological Data-Based Evaluation of a Social Robot Navigation System

Hasan Kivrak; Pinar Uluer; Hatice Kose; Elif Gumuslu; Duygun Erol Barkana; Furkan Cakmak; Sirma Yavuz

doi:10.1109/RO-MAN47096.2020.9223539

Physiological Data-Based Evaluation of a Social Robot Navigation System

Hasan Kivrak, Pinar Uluer, Hatice Kose, Elif Gumuslu, Duygun Erol Barkana, Furkan Cakmak, Sirma Yavuz

Department of Artificial Intelligence and Data Engineering

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

6 Citations (Scopus)

Abstract

The aim of this work is to create a social navigation system for an affective robot that acts as an assistant in the audiology department of hospitals for children with hearing impairments. Compared to traditional navigation systems, this system differentiates between objects and human beings and optimizes several parameters to keep at a social distance during motion when faced with humans not to interfere with their personal zones. For this purpose, social robot motion planning algorithms are employed to generate human-friendly paths that maintain humans' safety and comfort during the robot's navigation. This paper evaluates this system compared to traditional navigation, based on the surveys and physiological data of the adult participants in a preliminary study before using the system with children. Although the self-report questionnaires do not show any significant difference between navigation profiles of the robot, analysis of the physiological data may be interpreted that, the participants felt comfortable and less threatened in social navigation case.

Original language	English
Title of host publication	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	994-999
Number of pages	6
ISBN (Electronic)	9781728160757
DOIs	https://doi.org/10.1109/RO-MAN47096.2020.9223539
Publication status	Published - Aug 2020
Event	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 - Virtual, Naples, Italy Duration: 31 Aug 2020 → 4 Sept 2020

Publication series

Name	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020

Conference

Conference	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Country/Territory	Italy
City	Virtual, Naples
Period	31/08/20 → 4/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

This work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under the Grant number 118E214 1Department of Computer Engineering, Karabuk University, TURKEY [email protected] 2Department of Computer Engineering, Galatasaray University, TURKEY [email protected] 3Department of Computer Engineering, Istanbul Technical University, TURKEY {kivrakh, pinar.uluer, hatice.kose}@itu.edu.tr 4Department of Electrical and Electronics Engineering, Yeditepe University, TURKEY [email protected], [email protected] 5Department of Computer Engineering, Yildiz Technical University, TURKEY {fcakmak, smyavuz}@yildiz.edu.tr

Funders	Funder number
TUBITAK	118E214
Galatasaray Üniversitesi
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Istanbul Teknik Üniversitesi
Karabük Üniversitesi

Keywords

deeplearning
emotion recognition
HRI
personal zone
physiological data
social navigation

Access to Document

10.1109/RO-MAN47096.2020.9223539

Cite this

Kivrak, H., Uluer, P., Kose, H., Gumuslu, E., Erol Barkana, D., Cakmak, F., & Yavuz, S. (2020). Physiological Data-Based Evaluation of a Social Robot Navigation System. In 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 (pp. 994-999). Article 9223539 (29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RO-MAN47096.2020.9223539

Kivrak, Hasan ; Uluer, Pinar ; Kose, Hatice et al. / Physiological Data-Based Evaluation of a Social Robot Navigation System. 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 994-999 (29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020).

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abstract = "The aim of this work is to create a social navigation system for an affective robot that acts as an assistant in the audiology department of hospitals for children with hearing impairments. Compared to traditional navigation systems, this system differentiates between objects and human beings and optimizes several parameters to keep at a social distance during motion when faced with humans not to interfere with their personal zones. For this purpose, social robot motion planning algorithms are employed to generate human-friendly paths that maintain humans' safety and comfort during the robot's navigation. This paper evaluates this system compared to traditional navigation, based on the surveys and physiological data of the adult participants in a preliminary study before using the system with children. Although the self-report questionnaires do not show any significant difference between navigation profiles of the robot, analysis of the physiological data may be interpreted that, the participants felt comfortable and less threatened in social navigation case.",

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Kivrak, H, Uluer, P, Kose, H, Gumuslu, E, Erol Barkana, D, Cakmak, F & Yavuz, S 2020, Physiological Data-Based Evaluation of a Social Robot Navigation System. in 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020., 9223539, 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, Institute of Electrical and Electronics Engineers Inc., pp. 994-999, 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, Virtual, Naples, Italy, 31/08/20. https://doi.org/10.1109/RO-MAN47096.2020.9223539

Physiological Data-Based Evaluation of a Social Robot Navigation System. / Kivrak, Hasan; Uluer, Pinar; Kose, Hatice et al.
29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 994-999 9223539 (29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020).

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

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Kivrak H, Uluer P, Kose H, Gumuslu E, Erol Barkana D, Cakmak F et al. Physiological Data-Based Evaluation of a Social Robot Navigation System. In 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 994-999. 9223539. (29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020). doi: 10.1109/RO-MAN47096.2020.9223539

Physiological Data-Based Evaluation of a Social Robot Navigation System

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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