@inproceedings{b815e9cdcb4f4ceab069b8e7d11eaffc,
title = "Detecting and classifying degradation in robotic swarms: An experimental study",
abstract = "This paper describes the results of an experiment in which human participants were required to detect degraded robot swarm behaviour and classify it as arising from either faulty or malicious robot activity in an idealised simulation of a multi-agent search and rescue task. The accuracy of participant judgements was influenced by the nature of the degradation, and between-participant differences in the extent to which they interacted with the swarm did not significantly influence their accuracy. It was found that detecting and classifying swarm degradation are challenging tasks that are likely to be strongly sensitive to task setting and will tend to require careful swarm system design and specific operator training.",
keywords = "swarm robotics, human robot collaboration, psychology, experiment, fault detection",
author = "Seth Bullock and Noyes, {Jan M} and Victoria Steane and Chris Bennett and Wenwen Gao and Hart, {Sophie G} and Elliott Hogg and Debora Zanatto",
year = "2023",
month = jul,
day = "24",
doi = "10.1162/isal_a_00624",
language = "English",
series = "Artificial Life Conference Proceedings",
publisher = "Massachusetts Institute of Technology (MIT) Press",
editor = "Hero Iizuka and Keisuke Suzuki and Ryoko Uno and Luisa Damiano and N Spychalav and Miguel Aguilera and Eduardo Izquierdo and Reiji Suzuki and Manuel Baltieri",
booktitle = "ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference",
address = "United States",
note = "The 2023 Conference on Artificial Life ; Conference date: 24-07-2023 Through 28-07-2023",
}