TY - GEN
T1 - Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
AU - Scheunemann, Marcus M.
AU - Salge, Christoph
AU - Dautenhahn, Kerstin
N1 - © Springer Nature Switzerland AG 2019
PY - 2019/6/28
Y1 - 2019/6/28
N2 - In this paper we present a fully autonomous and intrinsically motivated robot usable for HRI experiments. We argue that an intrinsically motivated approach based on the Predictive Information formalism, like the one presented here, could provide us with a pathway towards autonomous robot behaviour generation, that is capable of producing behaviour interesting enough for sustaining the interaction with humans and without the need for a human operator in the loop. We present a possible reactive baseline behaviour for comparison for future research. Participants perceive the baseline and the adaptive, intrinsically motivated behaviour differently. In our exploratory study we see evidence that participants perceive an intrinsically motivated robot as less intelligent than the reactive baseline behaviour. We argue that is mostly due to the high adaptation rate chosen and the design of the environment. However, we also see that the adaptive robot is perceived as more warm, a factor which carries more weight in interpersonal interaction than competence.
AB - In this paper we present a fully autonomous and intrinsically motivated robot usable for HRI experiments. We argue that an intrinsically motivated approach based on the Predictive Information formalism, like the one presented here, could provide us with a pathway towards autonomous robot behaviour generation, that is capable of producing behaviour interesting enough for sustaining the interaction with humans and without the need for a human operator in the loop. We present a possible reactive baseline behaviour for comparison for future research. Participants perceive the baseline and the adaptive, intrinsically motivated behaviour differently. In our exploratory study we see evidence that participants perceive an intrinsically motivated robot as less intelligent than the reactive baseline behaviour. We argue that is mostly due to the high adaptation rate chosen and the design of the environment. However, we also see that the adaptive robot is perceived as more warm, a factor which carries more weight in interpersonal interaction than competence.
KW - Autonomous human-robot interaction
KW - Autonomous robots
KW - Cognitive robotics
KW - Human-robot interaction
KW - Information theory
KW - Intrinsic motivation
KW - Predictive information
KW - Robot behaviour
KW - Robot control
KW - Robotics
KW - Sustained interaction
UR - http://www.scopus.com/inward/record.url?scp=85068959812&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-23807-0_27
DO - 10.1007/978-3-030-23807-0_27
M3 - Conference contribution
AN - SCOPUS:85068959812
SN - 9783030238063
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 325
EP - 337
BT - Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings
A2 - Althoefer, Kaspar
A2 - Konstantinova, Jelizaveta
A2 - Zhang, Ketao
PB - Springer Nature Link
T2 - 20th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2019
Y2 - 3 July 2019 through 5 July 2019
ER -