TY - GEN
T1 - Robot Gesture Sonification to Enhance Awareness of Robot Status and Enjoyment of Interaction
AU - Zahray, Lisa
AU - Savery, Richard
AU - Syrkett, Liana
AU - Weinberg, Gil
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - We present a divergent approach to robotic sonification with the goal of improving the quality and safety of human-robot interactions. Sonification (turning data into sound) has been underutilized in robotics, and has broad potential to convey robotic movement and intentions to users without requiring visual engagement. We design and evaluate six different sonifications of movements for a robot with four degrees of freedom. Our sonification techniques include a direct mapping from each degree of freedom to pitch and timbre changes, emotion-based sound mappings, and velocity-based mappings using different types of sounds such as motors and music. We evaluate these sonifications using metrics for ease of use, enjoyment/appeal, and conveyance of movement information. Based on our results, we make recommendations to inform decisions for future robot sonification design. We suggest that when using sonification to improve safety of human-robot collaboration, it is necessary not only to convey sufficient information about movements, but also to convey that information in a pleasing and even social way to to enhance the human-robot relationship.
AB - We present a divergent approach to robotic sonification with the goal of improving the quality and safety of human-robot interactions. Sonification (turning data into sound) has been underutilized in robotics, and has broad potential to convey robotic movement and intentions to users without requiring visual engagement. We design and evaluate six different sonifications of movements for a robot with four degrees of freedom. Our sonification techniques include a direct mapping from each degree of freedom to pitch and timbre changes, emotion-based sound mappings, and velocity-based mappings using different types of sounds such as motors and music. We evaluate these sonifications using metrics for ease of use, enjoyment/appeal, and conveyance of movement information. Based on our results, we make recommendations to inform decisions for future robot sonification design. We suggest that when using sonification to improve safety of human-robot collaboration, it is necessary not only to convey sufficient information about movements, but also to convey that information in a pleasing and even social way to to enhance the human-robot relationship.
UR - https://www.scopus.com/pages/publications/85095746398
U2 - 10.1109/RO-MAN47096.2020.9223452
DO - 10.1109/RO-MAN47096.2020.9223452
M3 - Conference contribution
AN - SCOPUS:85095746398
T3 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
SP - 978
EP - 985
BT - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
A2 - Rossi, Silvia
A2 - Tapus, Adriana
A2 - Siciliano, Bruno
A2 - Kulic, Dana
A2 - Lee, Dongheui
A2 - Shiomi, Mashiro
PB - IEEE, Institute of Electrical and Electronics Engineers
T2 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Y2 - 31 August 2020 through 4 September 2020
ER -