TY - GEN
T1 - Drone in love
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021
AU - Herdel, Viviane
AU - Kuzminykh, Anastasia
AU - Hildebrandt, Andrea
AU - Cauchard, Jessica R.
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/6
Y1 - 2021/5/6
N2 - Drones are rapidly populating human spaces, yet little is known about how these fying robots are perceived and understood by humans. Recent works suggested that their acceptance is predicated upon their sociability. This paper explores the use of facial expressions to represent emotions on social drones. We leveraged design practices from ground robotics and created a set of rendered robotic faces that convey basic emotions. We evaluated individuals' response to these emotional facial expressions on drones in two empirical studies (N = 98, N = 98). Our results demonstrate that individuals accurately recognize fve drone emotional expressions, as well as make sense of intensities within emotion categories. We describe how participants were emotionally afected by the drone, showed empathy towards it, and created narratives to interpret its emotions. As a consequence, we formulate design recommendations for social drones and discuss methodological insights on the use of static versus dynamic stimuli in afective robotics studies.
AB - Drones are rapidly populating human spaces, yet little is known about how these fying robots are perceived and understood by humans. Recent works suggested that their acceptance is predicated upon their sociability. This paper explores the use of facial expressions to represent emotions on social drones. We leveraged design practices from ground robotics and created a set of rendered robotic faces that convey basic emotions. We evaluated individuals' response to these emotional facial expressions on drones in two empirical studies (N = 98, N = 98). Our results demonstrate that individuals accurately recognize fve drone emotional expressions, as well as make sense of intensities within emotion categories. We describe how participants were emotionally afected by the drone, showed empathy towards it, and created narratives to interpret its emotions. As a consequence, we formulate design recommendations for social drones and discuss methodological insights on the use of static versus dynamic stimuli in afective robotics studies.
KW - Afective computing
KW - Anthropomorphism
KW - Emotion recognition
KW - Facial expressions
KW - Human-drone interaction
KW - Robot
KW - Uav
UR - https://www.scopus.com/pages/publications/85106696464
U2 - 10.1145/3411764.3445495
DO - 10.1145/3411764.3445495
M3 - Conference contribution
AN - SCOPUS:85106696464
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 8 May 2021 through 13 May 2021
ER -