Physiological Data-Based Evaluation of a Social Robot Navigation System
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
29th IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN) -- AUG 31-SEP 04, 2020 -- ELECTR NETWORK
Anahtar Kelimeler
social navigation, personal zone, HRI, emotion recognition, deeplearning, physiological data
Kaynak
2020 29th Ieee International Conference On Robot and Human Interactive Communication (Ro-Man)
WoS Q Değeri
N/A
