TY - GEN
T1 - An experimental eye-tracking study for the design of a context-dependent social robot blinking model
AU - Zaraki, Abolfazl
AU - Dehkordi, Maryam Banitalebi
AU - Mazzei, Daniele
AU - De Rossi, Danilo
PY - 2014
Y1 - 2014
N2 - Human gaze and blinking behaviours have been recently considered, to empower humanlike robots to convey a realistic behaviour in a social human-robot interaction. This paper reports the findings of our investigation on human eye-blinking behaviour in relation to human gaze behaviour, in a human-human interaction. These findings then can be used to design a humanlike eye-blinking model for a social humanlike robot. In an experimental eye-tracking study, we showed to 11 participants, a 7-minute video of social interactions of two people, and collected their eye-blinking and gaze behaviours with an eye-tracker. Analysing the collected data, we measured information such as participants' blinking rate, maximum and minimum blinking duration, number of frequent (multiple) blinking, as well as the participants' gaze directions on environment. The results revealed that participants' blinking rate in a social interaction are qualitatively correlated to the gaze behaviour, as higher number of gaze shift increased the blinking rate. Based on the findings of this study, we can propose a context-dependent blinking model as an important component of the robot's gaze control system that can empower our robot to mimic human blinking behaviour in a multiparty social interaction.
AB - Human gaze and blinking behaviours have been recently considered, to empower humanlike robots to convey a realistic behaviour in a social human-robot interaction. This paper reports the findings of our investigation on human eye-blinking behaviour in relation to human gaze behaviour, in a human-human interaction. These findings then can be used to design a humanlike eye-blinking model for a social humanlike robot. In an experimental eye-tracking study, we showed to 11 participants, a 7-minute video of social interactions of two people, and collected their eye-blinking and gaze behaviours with an eye-tracker. Analysing the collected data, we measured information such as participants' blinking rate, maximum and minimum blinking duration, number of frequent (multiple) blinking, as well as the participants' gaze directions on environment. The results revealed that participants' blinking rate in a social interaction are qualitatively correlated to the gaze behaviour, as higher number of gaze shift increased the blinking rate. Based on the findings of this study, we can propose a context-dependent blinking model as an important component of the robot's gaze control system that can empower our robot to mimic human blinking behaviour in a multiparty social interaction.
KW - blinking model
KW - eye-tracking study
KW - gaze behaviour
KW - humanlike robot
KW - social human-robot interaction
UR - http://www.scopus.com/inward/record.url?scp=84905248057&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09435-9_31
DO - 10.1007/978-3-319-09435-9_31
M3 - Conference contribution
AN - SCOPUS:84905248057
SN - 9783319094342
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 356
EP - 366
BT - Biomimetic and Biohybrid Systems - Third International Conference, Living Machines 2014, Proceedings
PB - Springer Nature
T2 - 3rd International Conference on Biomimetic and Biohybrid Systems, Living Machines 2014
Y2 - 30 July 2014 through 1 August 2014
ER -