In a dynamic environment that involves multiple humans and multiple robots, competitive and collaborative work, and high time pressure, understanding how team players interact with each other and with teleoperated robots has a significant potential to improve human–robot team performance. This study used a naturalistic observation method to explore group interactions with robots during a qualifying robotics tournament. Teams of high school students had six weeks to design, build, and program a robot that plays a field game against other robots. In each match, three robot teams played collaboratively as an alliance against the other three-team alliance, gaining points by defending their stronghold and conquering the opponent’s stronghold. The study identified five areas where groups interacted with robots in a typical tournament (e.g., pit, queuing hall, and match field) and major team roles (e.g., mechanical, programming, electrical work, marketing, and driving). Critical group interactions with robots were captured in several situations, varying according to activity areas and individuals’ roles on their robotic teams. Potential cognitive and emotional issues, future research directions, and implications of the study were discussed.
[1]
R. Belk.
Possessions and the Extended Self
,
1988
.
[2]
G. Robert J. Hockey,et al.
State, Stress, and Time Pressure
,
1993
.
[3]
Adam M. Campbell,et al.
The Temporal Dynamics Model of Emotional Memory Processing: A Synthesis on the Neurobiological Basis of Stress-Induced Amnesia, Flashbulb and Traumatic Memories, and the Yerkes-Dodson Law
,
2007,
Neural plasticity.
[4]
Takayuki Kanda,et al.
May I help you? - Design of Human-like Polite Approaching Behavior-
,
2015,
2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[5]
C. F. Bond,et al.
Social facilitation: a meta-analysis of 241 studies.
,
1983,
Psychological bulletin.
[6]
Gary Klein,et al.
Naturalistic Decision Making
,
2008,
Hum. Factors.