  Despite the advantages of having robot swarms, human supervision is required
for real-world applications. The performance of the human-swarm system depends
on several factors including the data availability for the human operators. In
this paper, we study the human factors aspect of the human-swarm interaction
and investigate how having access to high-quality data can affect the
performance of the human-swarm system - the number of tasks completed and the
human trust level in operation. We designed an experiment where a human
operator is tasked to operate a swarm to identify casualties in an area within
a given time period. One group of operators had the option to request
high-quality pictures while the other group had to base their decision on the
available low-quality images. We performed a user study with 120 participants
and recorded their success rate (directly logged via the simulation platform)
as well as their workload and trust level (measured through a questionnaire
after completing a human-swarm scenario). The findings from our study indicated
that the group granted access to high-quality data exhibited an increased
workload and placed greater trust in the swarm, thus confirming our initial
hypothesis. However, we also found that the number of accurately identified
casualties did not significantly vary between the two groups, suggesting that
data quality had no impact on the successful completion of tasks.
