TY - GEN
T1 - The influence of following angle on performance metrics of a human-following robot
AU - Shanee, Honig S.
AU - Dror, Katz
AU - Tal, Oron Gilad
AU - Yael, Edan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/15
Y1 - 2016/11/15
N2 - Robots that operate alongside people need to be able to move in socially acceptable ways. As a step toward this goal, we study how and under which circumstances the angle at which a robot follows a person may affect the human experience and robot tracking performance. In this paper, we aimed to assess three following angles (0° angle, 30° angle, and 60° angle) under two conditions: when the robot was carrying a valuable personal item or not. Objective and subjective indicators of the quality of following and participants' perceptions and preferences were collected. Results indicated that the personal item manipulation increased awareness to the quality of the following and the following angles. Without the manipulation, participants were indifferent to the behavior of the robot. Our following algorithm was successful for tracking at a 0° and 30° angle, yet it must be improved for wider angles. Further research is required to obtain better understanding of following angle preferences for varying environment and task conditions.
AB - Robots that operate alongside people need to be able to move in socially acceptable ways. As a step toward this goal, we study how and under which circumstances the angle at which a robot follows a person may affect the human experience and robot tracking performance. In this paper, we aimed to assess three following angles (0° angle, 30° angle, and 60° angle) under two conditions: when the robot was carrying a valuable personal item or not. Objective and subjective indicators of the quality of following and participants' perceptions and preferences were collected. Results indicated that the personal item manipulation increased awareness to the quality of the following and the following angles. Without the manipulation, participants were indifferent to the behavior of the robot. Our following algorithm was successful for tracking at a 0° and 30° angle, yet it must be improved for wider angles. Further research is required to obtain better understanding of following angle preferences for varying environment and task conditions.
UR - http://www.scopus.com/inward/record.url?scp=85002722659&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2016.7745178
DO - 10.1109/ROMAN.2016.7745178
M3 - Conference contribution
AN - SCOPUS:85002722659
T3 - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
SP - 593
EP - 598
BT - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
PB - Institute of Electrical and Electronics Engineers
T2 - 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016
Y2 - 26 August 2016 through 31 August 2016
ER -