All Outputs (881)

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.

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.

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.

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.

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.

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.

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress (2023)
Conference Proceeding
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2023). A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-4). https://doi.org/10.1145/3597512.3597530

Online misinformation is a serious problem that can have a negative impact on individuals, societies, and democracies. It can lead to the spread of false information, the erosion of trust in institutions, and the polarisation of political discourse.... Read More about A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.

An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing (2023)
Conference Proceeding
Dowthwaite, L., Perez Vallejos, E., Portillo, V., Patel, M., Zhao, J., & Creswick, H. (2023). An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599708

Internet users often report feelings of stress, anxiety, and a lack of control, often related to uncertainty about the use of algorithms and autonomous systems (AS) behind what they encounter. This may lead to a loss of trust in the services, content... Read More about An Exploration of how Trust Online Relates to Psychological and Subjective Wellbeing.

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.

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.

A Practical Taxonomy of TAS-related Usecase Scenarios (2023)
Conference Proceeding
Masters, P., Young, V., Chamberlain, A., Weerawardhana, S., McKenna, P. E., Lu, Y., …Moreau, L. (2023). A Practical Taxonomy of TAS-related Usecase Scenarios. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems (1-6). https://doi.org/10.1145/3597512.3597523

This paper proposes a taxonomy of experimental usecase scenarios to facilitate research into trustworthy autonomous systems (TAS). Unable to identify an open-access repository of usecases to support our research, the project team embarked on developm... Read More about A Practical Taxonomy of TAS-related Usecase Scenarios.

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.

Digital twins for human-assistive robot teams in ambient assisted living (2023)
Conference Proceeding
Chen, J., Clos, J., Price, D., & Caleb-Solly, P. (2023). Digital twins for human-assistive robot teams in ambient assisted living. In TAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3597520

Digital twins are virtual replicas of physical systems that simulate real-world scenarios to optimize system performance, reduce physical losses, and ensure user safety. Although digital twins have been widely adopted in industrial settings, there is... Read More about Digital twins for human-assistive robot teams in ambient assisted living.

Five Provocations for a More Creative TAS (2023)
Conference Proceeding
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., …Marshall, J. (2023). Five Provocations for a More Creative TAS. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599709

Conventional wisdom has it that trustworthy autonomous systems (AS) should be explainable, dependable, controllable and safe tools for humans to use. Reflecting on a portfolio of artistic applications of TAS leads us adopt an alternative stance and t... Read More about Five Provocations for a More Creative TAS.

TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals (2023)
Conference Proceeding
Schneiders, E., Chamberlain, A., Fischer, J. E., Benford, S., Castle-Green, S., Ngo, V., …Mills, D. (2023). TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3597517

Cat Royale is an artist-led exploration of trustworthy autonomous systems (TAS) created by the TAS Hub's creative ambassadors Blast Theory. A small community of cats inhabits a purpose built 'cat utopia' at the centre of which a robot arm tries to en... Read More about TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals.

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients (2023)
Conference Proceeding
Schneiders, E., Williams, J., Farahi, A., Seabrooke, T., Vigneswaran, G., Bautista, J. R., …Piskopani, A. M. (2023). TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. In TAS'23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. https://doi.org/10.1145/3597512.3597513

Precise pain assessment is crucial for medical professionals to provide appropriate treatment. However, not every patient can verbalise the experienced pain for various reasons (e.g., speech disorders or language barriers). In these cases, medical pr... Read More about TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients.

Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries (2023)
Conference Proceeding
Piskopani, A. M., Chamberlain, A., & Ten Holter, C. (2023). Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3597528

This position piece starts to examine the ways in which AI-based autonomous technologies have begun to influence a range of human activities in the arts and creative industries.The rise of AI-generated art could potentially transform the act of creat... Read More about Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries.

Gifting the Past in the Present: An Exploration of Evoking Nostalgia through Hybrid Gifts (2023)
Conference Proceeding
Gibson, R., Koleva, B., Flintham, M., & Winklhofer, H. (2023). Gifting the Past in the Present: An Exploration of Evoking Nostalgia through Hybrid Gifts. In DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference (1047-1059). https://doi.org/10.1145/3563657.3596103

This study focuses on the hybrid gifting model, where both physical and digital objects combine to create a single gift. For this in-the-world study, we turn to nostalgic emotions. We aimed to uncover if hybrid gifting can facilitate nostalgic experi... Read More about Gifting the Past in the Present: An Exploration of Evoking Nostalgia through Hybrid Gifts.

“It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories (2023)
Conference Proceeding
Gibson, R., Babbage, C. M., Wagner, H. G., Price, D. J., Martindale, S., Chadborn, N. H., …Perez Vallejos, E. (2023). “It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories. In DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference (987-1001). https://doi.org/10.1145/3563657.3595962

We present the design of the Memory Machine (MeMa), a technology probe that can store, contextualise, and document media to represent memories. We accumulate vast physical and digital possessions throughout our lives, making it difficult to distingui... Read More about “It’s not just for the Past but it’s for the Here and Now”: Gift-Giver Perspectives on the Memory Machine to Gift Digital Memories.