TY - GEN
T1 - Effects of voice-adaptation and social dialogue on perceptions of a robotic learning companion
AU - Lubold, Nichola
AU - Walker, Erin
AU - Pon-Barry, Heather
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/12
Y1 - 2016/4/12
N2 - With a growing number of applications involving social human-robot interactions, there is an increasingly important role for socially responsive speech interfaces that can effectively engage the user. For example, learning companions provide both task-related feedback and motivational support for students with the goal of improving learning. As a learning companion's ability to be socially responsive increases, so do learning outcomes. This paper presents a socially responsive speech interface for an embodied, robotic learning companion. We explore two methods of social responsiveness. The first method introduces social responses into the dialogue, while the second method augments these responses with voice-adaptation based on acoustic-prosodic entrainment. We evaluate the effect of a social, voice-adaptive robotic learning companion on social variables such as social presence and rapport, and we compare this to a companion with only social dialogue and one with neither social dialogue nor voice-adaptions. We contrast the effects against those of individual factors, such as gender. We find (1) that social presence is significantly higher with a social voice-adaptive speech interface than with purely social dialogue, and (2) that females feel significantly more rapport and are significantly more persistent in interactions with a robotic learning companion than males.
AB - With a growing number of applications involving social human-robot interactions, there is an increasingly important role for socially responsive speech interfaces that can effectively engage the user. For example, learning companions provide both task-related feedback and motivational support for students with the goal of improving learning. As a learning companion's ability to be socially responsive increases, so do learning outcomes. This paper presents a socially responsive speech interface for an embodied, robotic learning companion. We explore two methods of social responsiveness. The first method introduces social responses into the dialogue, while the second method augments these responses with voice-adaptation based on acoustic-prosodic entrainment. We evaluate the effect of a social, voice-adaptive robotic learning companion on social variables such as social presence and rapport, and we compare this to a companion with only social dialogue and one with neither social dialogue nor voice-adaptions. We contrast the effects against those of individual factors, such as gender. We find (1) that social presence is significantly higher with a social voice-adaptive speech interface than with purely social dialogue, and (2) that females feel significantly more rapport and are significantly more persistent in interactions with a robotic learning companion than males.
KW - Acoustic-prosodic entrainment
KW - Adaptive learning companion
KW - Rapport
KW - Social presence
KW - Spoken dialogue
UR - http://www.scopus.com/inward/record.url?scp=84964815984&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964815984&partnerID=8YFLogxK
U2 - 10.1109/HRI.2016.7451760
DO - 10.1109/HRI.2016.7451760
M3 - Conference contribution
AN - SCOPUS:84964815984
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 255
EP - 262
BT - HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
PB - IEEE Computer Society
T2 - 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Y2 - 7 March 2016 through 10 March 2016
ER -