@inproceedings{soton478647,
title = {Multi-agent signal-less intersection management with dynamic platoon formation},
author = {Phuriwat Worrawichaipat and Enrico Gerding and Ioannis Kaparias and Sarvapali Ramchurn},
url = {https://eprints.soton.ac.uk/478647/},
year = {2023},
date = {2023-05-01},
booktitle = {22nd International Conference on Autonomous Agents and Multiagent Systems (29/05/23 - 02/06/23)},
pages = {1542--1550},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@misc{soton477553,
title = {AI Foundation Models: initial review, CMA Consultation, TAS Hub Response},
author = {Joshua Krook and Derek McAuley and Stuart Anderson and John Downer and Peter Winter and Sarvapali D Ramchurn},
url = {https://eprints.soton.ac.uk/477553/},
year = {2023},
date = {2023-06-01},
publisher = {University of Southampton},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
@inproceedings{soton479970,
title = {The effect of data visualisation quality and task density on human-swarm interaction},
author = {Ayodeji Abioye and Mohammad Naiseh and William Hunt and Jediah R Clark and Sarvapali D Ramchurn and Mohammad Soorati},
url = {https://eprints.soton.ac.uk/479970/},
year = {2023},
date = {2023-06-01},
booktitle = {Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},
publisher = {IEEE},
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.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Autonomous swarms of robots can bring robustness, scalability and adaptability to safety-critical tasks such as search and rescue but their application is still very limited. Using semi-autonomous swarms with human control can bring robot swarms to real-world applications. Human operators can define goals for the swarm, monitor their performance and interfere with, or overrule, the decisions and behaviour. We present the "Human And Robot Interactive Swarm'' simulator (HARIS) that allows multi-user interaction with a robot swarm and facilitates qualitative and quantitative user studies through simulation of robot swarms completing tasks, from package delivery to search and rescue, with varying levels of human control. In this demonstration, we showcase the simulator by using it to study the performance gain offered by maintaining a "human-in-the-loop'' over a fully autonomous system as an example. This is illustrated in the context of search and rescue, with an autonomous allocation of resources to those in need.
https://eprints.soton.ac.uk/479903/
@inproceedings{soton479903,
title = {Demonstrating performance benefits of human-swarm teaming},
author = {William Hunt and Jack Ryan and Ayodeji O Abioye and Sarvapali D Ramchurn and Mohammad D Soorati},
url = {https://eprints.soton.ac.uk/479903/},
year = {2023},
date = {2023-05-01},
booktitle = {Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
pages = {3062--3064},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)},
abstract = {Autonomous swarms of robots can bring robustness, scalability and adaptability to safety-critical tasks such as search and rescue but their application is still very limited. Using semi-autonomous swarms with human control can bring robot swarms to real-world applications. Human operators can define goals for the swarm, monitor their performance and interfere with, or overrule, the decisions and behaviour. We present the "Human And Robot Interactive Swarm'' simulator (HARIS) that allows multi-user interaction with a robot swarm and facilitates qualitative and quantitative user studies through simulation of robot swarms completing tasks, from package delivery to search and rescue, with varying levels of human control. In this demonstration, we showcase the simulator by using it to study the performance gain offered by maintaining a "human-in-the-loop'' over a fully autonomous system as an example. This is illustrated in the context of search and rescue, with an autonomous allocation of resources to those in need.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper discusses the research work conducted to quantify the effective range of lighting levels and ambient noise levels in order to inform the design and development of a multimodal speech and visual gesture (mSVG) control interface for the control of a UAV. Noise level variation from 55 dB to 85 dB is observed under control lab conditions to determine where speech commands for a UAV fails, and to consider why, and possibly suggest a solution around this. Similarly, lighting levels are varied within the control lab condition to determine a range of effective visibility levels. The limitation of this work and some further work from this were also presented.
https://eprints.soton.ac.uk/418871/
@inproceedings{soton418871,
title = {Quantifying the effects of varying light-visibility and noise-sound levels in practical multimodal speech and visual gesture (mSVG) interaction with aerobots},
author = {Opeyemi Abioye Ayodeji and Stephen Prior and Trevor Thomas and Peter Saddington and Sarvapali Ramchurn},
url = {https://eprints.soton.ac.uk/418871/},
year = {2018},
date = {2018-06-01},
booktitle = {IEEE International Conference on Applied System Innovation (IEEE ICASI) 2018},
pages = {842--845},
publisher = {IEEE},
abstract = {This paper discusses the research work conducted to quantify the effective range of lighting levels and ambient noise levels in order to inform the design and development of a multimodal speech and visual gesture (mSVG) control interface for the control of a UAV. Noise level variation from 55 dB to 85 dB is observed under control lab conditions to determine where speech commands for a UAV fails, and to consider why, and possibly suggest a solution around this. Similarly, lighting levels are varied within the control lab condition to determine a range of effective visibility levels. The limitation of this work and some further work from this were also presented.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
ensuremathIn this article, we report on one lab study and seven follow-up studies on a crowdsourcing platform designed to investigate the potential of animation cues to influence users? perception of two smart systems: a handwriting recognition and a part-of-speech tagging system. Results from the first three studies indicate that animation cues can influence a participant?s perception of both systems? performance. The subsequent three studies, designed to try and identify an explanation for this effect, suggest that this effect is related to the participants? mental model of the smart system. The last two studies were designed to characterize the effect more in detail, and they revealed that different amounts of animation do not seem to create substantial differences and that the effect persists even when the system?s performance decreases, but only when the difference in performance level between the systems being compared is small.ensuremath
https://eprints.soton.ac.uk/422967/
@article{soton422967,
title = {Seeing (movement) is believing: the effect of motion on perception of automatic systems performance},
author = {Pedro Garcia Garcia and Enrico Costanza and Jhim Verame and Diana Nowacka and Sarvapali D Ramchurn},
url = {https://eprints.soton.ac.uk/422967/},
year = {2018},
date = {2018-04-01},
journal = {Human-Computer Interaction},
pages = {1-51},
abstract = {ensuremathIn this article, we report on one lab study and seven follow-up studies on a crowdsourcing platform designed to investigate the potential of animation cues to influence users? perception of two smart systems: a handwriting recognition and a part-of-speech tagging system. Results from the first three studies indicate that animation cues can influence a participant?s perception of both systems? performance. The subsequent three studies, designed to try and identify an explanation for this effect, suggest that this effect is related to the participants? mental model of the smart system. The last two studies were designed to characterize the effect more in detail, and they revealed that different amounts of animation do not seem to create substantial differences and that the effect persists even when the system?s performance decreases, but only when the difference in performance level between the systems being compared is small.ensuremath},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{BICEGO2018317b,
title = {On the distinctiveness of the electricity load profile},
author = {M. Bicego and A. Farinelli and E. Grosso and D. Paolini and S.D. Ramchurn},
url = {http://www.sciencedirect.com/science/article/pii/S0031320317303904},
doi = {https://doi.org/10.1016/j.patcog.2017.09.039},
issn = {0031-3203},
year = {2018},
date = {2018-01-01},
journal = {Pattern Recognition},
volume = {74},
number = {Supplement C},
pages = {317--325},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. During load shedding, many homes are left without electricity, causing them inconvenience and discomfort. In this paper, we present a number of optimization heuristics that focus on pairwise and groupwise fairness, such that households (i.e. agents) are fairly allocated electricity. We evaluate the heuristics against standard fairness metrics in terms of comfort delivered to homes, as well as the number of times they are disconnected from electricity supply. Thus, we establish new benchmarks for fair load shedding schemes.
https://eprints.soton.ac.uk/420541/
@inproceedings{soton420541,
title = {Algorithms for fair load shedding in developing countries},
author = {Ifeoluwa Oluwasuji Olabambo and Obaid Malik and Jie Zhang and Sarvapali Ramchurn},
url = {https://eprints.soton.ac.uk/420541/},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},
pages = {1590-1596},
abstract = {Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. During load shedding, many homes are left without electricity, causing them inconvenience and discomfort. In this paper, we present a number of optimization heuristics that focus on pairwise and groupwise fairness, such that households (i.e. agents) are fairly allocated electricity. We evaluate the heuristics against standard fairness metrics in terms of comfort delivered to homes, as well as the number of times they are disconnected from electricity supply. Thus, we establish new benchmarks for fair load shedding schemes.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. This leaves homes without electricity, causing them discomfort and inconvenience. Because fairness is not a priority when shedding load, some homes bear the brunt of these effects. In this paper, we present our ongoing research into considering fairness when shedding load at the household level.
https://eprints.soton.ac.uk/420127/
@inproceedings{soton420127,
title = {Algorithms to manage load shedding events in developing countries},
author = {Ifeoluwa Oluwasuji Olabambo and Obaid Malik and Jie Zhang and Sarvapali Ramchurn},
url = {https://eprints.soton.ac.uk/420127/},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the International Conference on Autonomous and Multi-Agent Systems (AAMAS)},
pages = {2034-2036},
abstract = {Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. This leaves homes without electricity, causing them discomfort and inconvenience. Because fairness is not a priority when shedding load, some homes bear the brunt of these effects. In this paper, we present our ongoing research into considering fairness when shedding load at the household level.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The Internet of Things (IoT) promises to enable applications that foster a more efficient, sustainable, and healthy way of life. If end-users are to take full advantage of these developments we foresee the need for future IoT systems and services to include an element of autonomy and support the delegation of agency to software processes and connected devices. To inform the design of such future technology, we report on a breaching experiment designed to investigate how people integrate an unpredictable service, through the veg box scheme, in everyday life. Findings from our semistructured interviews and a two-week diary study with 11 households reveal that agency delegation must be warranted, that it must be possible to incorporate delegated decisions into everyday activities, and that delegation is subject to constraint. We further discuss design implications on the need to support people?s diverse values, and their coordinative and creative practices.
https://eprints.soton.ac.uk/417370/
@inproceedings{soton417370,
title = {Learning from the veg box: Designing unpredictability in agency delegation},
author = {Manzano Verame Jhim Kiel and Enrico Costanza and Sarvapali Ramchurn and Joel Fischer and Andy Crabtree and Tom Rodden and Nick Jennings},
url = {https://eprints.soton.ac.uk/417370/},
year = {2018},
date = {2018-01-01},
booktitle = {CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
publisher = {ACM},
abstract = {The Internet of Things (IoT) promises to enable applications that foster a more efficient, sustainable, and healthy way of life. If end-users are to take full advantage of these developments we foresee the need for future IoT systems and services to include an element of autonomy and support the delegation of agency to software processes and connected devices. To inform the design of such future technology, we report on a breaching experiment designed to investigate how people integrate an unpredictable service, through the veg box scheme, in everyday life. Findings from our semistructured interviews and a two-week diary study with 11 households reveal that agency delegation must be warranted, that it must be possible to incorporate delegated decisions into everyday activities, and that delegation is subject to constraint. We further discuss design implications on the need to support people?s diverse values, and their coordinative and creative practices.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/ijcai/VuAR18,
title = {A Decentralised Approach to Intersection Traffic Management},
author = {Huan Vu and Samir Aknine and Sarvapali D Ramchurn},
url = {https://doi.org/10.24963/ijcai.2018/73},
doi = {10.24963/ijcai.2018/73},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm,
Sweden.},
pages = {527--533},
crossref = {DBLP:conf/ijcai/2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/cj/KhanTRJ18,
title = {Speeding Up GDL-Based Message Passing Algorithms for Large-Scale DCOPs},
author = {Md. Mosaddek Khan and Long Tran - and Sarvapali D Ramchurn and Nicholas R Jennings},
url = {https://doi.org/10.1093/comjnl/bxy021},
doi = {10.1093/comjnl/bxy021},
year = {2018},
date = {2018-01-01},
journal = {Comput. J.},
volume = {61},
number = {11},
pages = {1639--1666},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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