  This paper presents an exploratory study to understand the relationship
between a humans' cognitive load, trust, and anthropomorphism during
human-robot interaction. To understand the relationship, we created a
\say{Matching the Pair} game that participants could play collaboratively with
one of two robot types, Husky or Pepper. The goal was to understand if humans
would trust the robot as a teammate while being in the game-playing situation
that demanded a high level of cognitive load. Using a humanoid vs. a technical
robot, we also investigated the impact of physical anthropomorphism and we
furthermore tested the impact of robot error rate on subsequent judgments and
behavior. Our results showed that there was an inversely proportional
relationship between trust and cognitive load, suggesting that as the amount of
cognitive load increased in the participants, their ratings of trust decreased.
We also found a triple interaction impact between robot-type, error-rate and
participant's ratings of trust. We found that participants perceived Pepper to
be more trustworthy in comparison with the Husky robot after playing the game
with both robots under high error-rate condition. On the contrary, Husky was
perceived as more trustworthy than Pepper when it was depicted as featuring a
low error-rate. Our results are interesting and call further investigation of
the impact of physical anthropomorphism in combination with variable
error-rates of the robot.
