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

Yapay Zeka ve Veri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

8 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	994-999
Sayfa sayısı	6
ISBN (Elektronik)	9781728160757
DOI'lar	https://doi.org/10.1109/RO-MAN47096.2020.9223539
Yayın durumu	Yayınlandı - Ağu 2020
Etkinlik	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 - Virtual, Naples, Italy Süre: 31 Ağu 2020 → 4 Eyl 2020

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Ülke/Bölge	Italy
Şehir	Virtual, Naples
Periyot	31/08/20 → 4/09/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Finansman

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

Finansörler	Finansör numarası
TUBITAK	118E214
Galatasaray Üniversitesi
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Istanbul Teknik Üniversitesi
Karabük Üniversitesi

Belgeye Erişim

10.1109/RO-MAN47096.2020.9223539

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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).

@inproceedings{e08ed8194e9e43b8a62d14a1b62ba003,

title = "Physiological Data-Based Evaluation of a Social Robot Navigation System",

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.",

keywords = "HRI, deeplearning, emotion recognition, personal zone, physiological data, social navigation",

author = "Hasan Kivrak and Pinar Uluer and Hatice Kose and Elif Gumuslu and \{Erol Barkana\}, Duygun and Furkan Cakmak and Sirma Yavuz",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 ; Conference date: 31-08-2020 Through 04-09-2020",

year = "2020",

month = aug,

doi = "10.1109/RO-MAN47096.2020.9223539",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "994--999",

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

address = "United States",

}

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Physiological Data-Based Evaluation of a Social Robot Navigation System

AU - Kivrak, Hasan

AU - Uluer, Pinar

AU - Kose, Hatice

AU - Gumuslu, Elif

AU - Erol Barkana, Duygun

AU - Cakmak, Furkan

AU - Yavuz, Sirma

PY - 2020/8

Y1 - 2020/8

N2 - 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.

AB - 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.

KW - HRI

KW - deeplearning

KW - emotion recognition

KW - personal zone

KW - physiological data

KW - social navigation

UR - https://www.scopus.com/pages/publications/85090158784

U2 - 10.1109/RO-MAN47096.2020.9223539

DO - 10.1109/RO-MAN47096.2020.9223539

M3 - Conference contribution

AN - SCOPUS:85090158784

T3 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020

SP - 994

EP - 999

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020

Y2 - 31 August 2020 through 4 September 2020

ER -

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap