The effect of data visualisation quality and task density on human-swarm interaction
The effect of data visualisation quality and task density on human-swarm interaction
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.
Abioye, Ayodeji
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Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Hunt, William
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Clark, Jediah R
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Ramchurn, Sarvapali D.
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Soorati, Mohammad
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Abioye, Ayodeji
3ec89a0b-8e78-4ef6-a1d7-342d8f6da021
Naiseh, Mohammad
ab9d6b3c-569c-4d7c-9bfd-61bbb8983049
Hunt, William
eec4ba79-8870-4657-a2ea-25511ae9dbaa
Clark, Jediah R
5d82ac6c-58be-4366-9b11-5e3179d85b33
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Soorati, Mohammad
35fe6bbb-ce52-4c21-a46e-9bb0e31d246c
Abioye, Ayodeji, Naiseh, Mohammad, Hunt, William, Clark, Jediah R, Ramchurn, Sarvapali D. and Soorati, Mohammad
(2023)
The effect of data visualisation quality and task density on human-swarm interaction.
In Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
IEEE.
8 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction
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Accepted/In Press date: 2 June 2023
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Venue - Dates:
32nd IEEE International Conference on Robot and Human Interactive Communication, South Korea, Busan, Korea, Republic of, 2023-08-28 - 2023-08-31
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Local EPrints ID: 479970
URI: http://eprints.soton.ac.uk/id/eprint/479970
PURE UUID: d46b14c7-a04b-4738-a57e-99e42ece730b
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Date deposited: 31 Jul 2023 16:51
Last modified: 18 Mar 2024 03:34
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