All Outputs (45)

Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data (2023)
Conference Proceeding
Milligan, G., Harvey, J., Dowthwaite, L., Vallejos, E. P., Nica-Avram, G., & Goulding, J. (2023). Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data. In Proceedings: 2023 IEEE International Conference on Big Data: Dec 15 - Dec 18, 2023 Sorrento, Italy. https://doi.org/10.1109/BigData59044.2023.10386740

Life satisfaction significantly contributes to wellbe-ing and is linked to positive outcomes for individual people and society more broadly. However, previous research demonstrates that many factors contribute to the life satisfaction of an individua... Read More about Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data.

A Difficulty in Trust Modelling (2023)
Conference Proceeding
Muller, T. (2023). A Difficulty in Trust Modelling.

There are various trust models, and no pair are the same. Why is there no consensus on what the best trust model is yet? In this paper, we prove some impossibility results, that suggests that no perfect trust model exists. We provide a general meta-m... Read More about A Difficulty in Trust Modelling.

Pre-Signature Scheme for Trustworthy Offline V2V Communication (2023)
Conference Proceeding
Muller, T., Carpent, X., Furnell, S., Almani, D., & Yoshizawa, T. (2023). Pre-Signature Scheme for Trustworthy Offline V2V Communication.

Vehicle-to-Vehicle (V2V) communication systems hold great potential for enhancing road safety and traffic efficiency. The authenti-cation of such communication is crucial, particularly in scenarios where infrastructure is absent, while also ensuring... Read More about Pre-Signature Scheme for Trustworthy Offline V2V Communication.

UbiFix: Tackling Repairability Challenges in Smart Devices (2023)
Conference Proceeding
Sailaja, N., Castle-Green, T., Coulton, P., Stead, M., Lindley, J., Urquhart, L., & Darzentas, D. P. (2023). UbiFix: Tackling Repairability Challenges in Smart Devices. In UbiComp/ISWC '23 Adjunct (802-806). https://doi.org/10.1145/3594739.3605113

IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning susta... Read More about UbiFix: Tackling Repairability Challenges in Smart Devices.

FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience (2023)
Conference Proceeding
Jacobs, R., Spence, J., Abbott, F., Chamberlain, A., Heim, W., Yemaoua Dayo, A., …King, J. (2023). FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience. . https://doi.org/10.1145/3616961.3616979

This paper explores the unique methods and strategies employed by a team of artists, in collaboration with engineers, programmers, a climate scientist, researchers and members of the public, who have come together to create the Future Machine, with t... Read More about FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience.

Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots (2023)
Conference Proceeding
Schneiders, E., Boudouraki, A., Reyes-Cruz, G., Martinez Avila, J. P., Elmimouni, H., Grønbæk, J. E. S., …Joshi, S. (2023). Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots. In MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction (1-5). https://doi.org/10.1145/3565066.3609791

In recent years virtual meetings have become the predominant alternative to face-To-face meetings. Ongoing efforts in the design of telepresence robots promise remote access to physical settings and a greater sense of presence, leading to improved re... Read More about Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method (2023)
Conference Proceeding
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. In M. P. Brito, T. Aven, P. Baraldi, M. Čepin, & E. Zio (Eds.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) (607-614)

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment (2023)
Conference Proceeding
Maaji, S. S., & Landa-Silva, D. (2023). UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment. In Computational Logistics. ICCL 2023 (467-481). https://doi.org/10.1007/978-3-031-43612-3_29

This paper proposes a model for unmanned aerial vehicles (UAV) grid-based coverage path planning, considering coverage completeness and energy consumption in complex environments with multiple obstacles. The work is inspired by the need for more effi... Read More about UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Conference Proceeding
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

“They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot (2023)
Conference Proceeding
Trigo, M. J. G., Reyes-Cruz, G., Maior, H. A., Pepper, C., Price, D., Leonard, P., …Fischer, J. E. (2023). “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/RO-MAN57019.2023.10309364

Increasingly, robots are adopted for routine tasks such as cleaning and disinfection of public spaces, raising questions about attitudes and trust of professional cleaners who might in future have robots as teammates, and whether the general public f... Read More about “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot.

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data (2023)
Conference Proceeding
Dave, R., Angarita-Zapata, J. S., & Triguero, I. (2023). Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. In Machine Learning and Knowledge Extraction (82-102). https://doi.org/10.1007/978-3-031-40837-3_6

The emergence of Machine Learning (ML) has altered how researchers and business professionals value data. Applicable to almost every industry, considerable amounts of time are wasted creating bespoke applications and repetitively hand-tuning models t... Read More about Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Conference Proceeding
Abdi, H., Bagley, S. R., Furnell, S., & Twycross, J. (2023). Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing. In DocEng ’23 : Proceedings of the 2023 ACM Symposium on Document Engineering. https://doi.org/10.1145/3573128.3609348

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Conference Proceeding
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments (2023)
Conference Proceeding
Fuentes, C., Porcheron, M., & Fischer, J. E. (2023). RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments. In Proceedings of the 5th International Conference on Conversational User Interfaces (CUI '23). https://doi.org/10.1145/3571884.3597137

Building effective voice interfaces for the instruction of service robots in specialised environments is difficult due to the local knowledge of workers, such as specific terminology for objects and space, leading to limited data to train language mo... Read More about RoboClean: Contextual Language Grounding for Human-Robot Interactions in Specialised Low-Resource Environments.

Generative AI Considered Harmful (2023)
Conference Proceeding
Fischer, J. E. (2023). Generative AI Considered Harmful. In Proceedings of the 5th International Conference on Conversational User Interfaces (CUI '23). https://doi.org/10.1145/3571884.3603756

The recent months have seen an explosion of interest, hype, and concern about generative AI, driven by the release of ChatGPT. In this article I seek to explicate some potential and actual harms of the engineering and use of generative AI such as Cha... Read More about Generative AI Considered Harmful.

Sequential Rule Mining for Automated Design of Meta-heuristics (2023)
Conference Proceeding
Meng, W., & Qu, R. (2023). Sequential Rule Mining for Automated Design of Meta-heuristics. In GECCO’23 Companion: Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (1727-1735). https://doi.org/10.1145/3583133.3596303

With a recently defined AutoGCOP framework, the design of local search algorithms can be defined as the composition of the basic elementary algorithmic components. These compositions into the best algorithms thus retain useful knowledge of effective... Read More about Sequential Rule Mining for Automated Design of Meta-heuristics.

Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care (2023)
Conference Proceeding
Piskopani, A. M., Webb, H., & Caleb-Solly, P. (2023). Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-5). https://doi.org/10.1145/3597512.3599700

Robotics and Artificial Intelligence (RAI) offers the opportunity to ameliorate the quality of life for people with health issues. However, there are still considerable barriers linked to the lack of acceptance of these technologies, particularly as... Read More about Using a Knowledge Café approach as a public engagement activity for raising awareness of data protection issues in robotics for health and social care.

Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice (2023)
Conference Proceeding
Portillo, V., Greenhalgh, C., Craigon, P. J., & Ten Holter, C. (2023). Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3599721

Researchers often find it hard to know where, when and how to start when applying Responsible Innovation approaches to their own research projects and proposals. Based on experience supporting a range of researchers and projects, we have developed a... Read More about Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice.

Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation (2023)
Conference Proceeding
Reyes-Cruz, G., Phypers, I., Boudouraki, A., Price, D., Fischer, J., Reeves, S., …Maior, H. (2023). Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597532

Mobile robotic telepresence (MRP) allows remote users' access and mobility in a range of local environments. MRP devices have been adopted in societally significant domains such as workplaces, museums, commerce, education, and healthcare, especially... Read More about Augmented Robotic Telepresence (ART): A Prototype for Enhancing Remote Interaction and Participation.

Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities (2023)
Conference Proceeding
Cameron, H., Story, M., Reyes-Cruz, G., & Galvez Trigo, M. J. (2023). Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-5). https://doi.org/10.1145/3597512.3597525

The integration of robots into everyday life is an increasingly common and mundane phenomena. Understanding how people regard and interact with these robots is a rapidly growing area of study, however, there is limited consideration of the attitudes... Read More about Co-creating Museum Robots With People That Are Autistic and/or Have Learning Disabilities.