All Outputs (2321)

A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots (2024)
Presentation / Conference Contribution
Cameron, H. R., Castle-Green, S., Chughtai, M., Dowthwaite, L., Kucukyilmaz, A., A. Maior, H. A., Ngo, V., Schneiders, E., & C. Stahl, B. (2024, September). A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Domestic robots are fast becoming an integrated part of daily life. In anticipation of increased uptake of robotic assistants in the home, researchers and designers must investigate what makes domestic robotic interventions trustworthy or untrustwort... Read More about A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots.

Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI (2024)
Presentation / Conference Contribution
McGarry, G., Crabtree, A., Chamberlain, A., & Urquhart, L. D. (2024, September). Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. Presented at TAS '24: Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. W... Read More about Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI.

Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems (2024)
Presentation / Conference Contribution
R. Cameron, H., McBride, N., Ochang, P., & C. Stahl, B. (2024, September). Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems. Presented at Trustworthy Autonomous Systems International Symposium '24, Austin, Texas, USA

Uncrewed aerial systems (UAS) such as drones are an increasingly mundane part of our skies, and are expected as an industry to undergo exponential growth in the coming decade. In order to monitor and manage the airspace, Uncrewed Traffic Management (... Read More about Trustworthy Airspaces of the Future: Hopes and concerns of experts regarding Uncrewed Traffic Management systems.

Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop (2024)
Presentation / Conference Contribution
Reyes-Cruz, G., Martinez Avila, J., Schneiders, E., & Boudouraki, A. (2024, September). Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Mobile robotic telepresence systems have been around for more than a decade, promising to improve on traditional video conferencing by enabling remote movement, and more recently, providing autonomous features for navigation, yet their use in the rea... Read More about Reimagining the Design of Mobile Robotic Telepresence: Reflections from a Hybrid Design Workshop.

Technology for Environmental Policy: Exploring Perceptions, Values, and Trust in a Citizen Carbon Budget App (2024)
Presentation / Conference Contribution
Dowthwaite, L., Reyes-Cruz, G., Lu, Y., Lisinska, J., Craigon, P., Piskopani, A.-M., Shafipour, E., Stein, S., & Fischer, J. (2024, September). Technology for Environmental Policy: Exploring Perceptions, Values, and Trust in a Citizen Carbon Budget App. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Personal Carbon Allowances (PCAs) are a policy idea for reducing individual carbon emissions, originally proposed in the UK in the 1990s, but promptly discarded due to concerns about low public acceptability and technological limitations. Decades lat... Read More about Technology for Environmental Policy: Exploring Perceptions, Values, and Trust in a Citizen Carbon Budget App.

An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence (2024)
Presentation / Conference Contribution
Boudouraki, A., & Reyes-Cruz, G. (2024, September). An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Technological advancements often promise to alleviate our reliance on one another through automating assistance. One such example is Mobile Robotic telePresence (MRP), which gives users the ability to move independently, whilst having a video call, b... Read More about An Interdependence Frame for (Semi) Autonomous Robots: The Case of Mobile Robotic Telepresence.

Examining the Feasibility of AI-Generated Questions in Educational Settings (2024)
Presentation / Conference Contribution
Zeghouani, O., Ali, Z., Simson Van Dijkhuizen, W., Wei Hong, J., & Clos, J. (2024, September). Examining the Feasibility of AI-Generated Questions in Educational Settings. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas, USA

Educators face ever-growing time constraints, leading to poor work-life balance and a negative impact on work quality. Through their language generation capabilities, large language models offer an interesting avenue to ease this academic workload, a... Read More about Examining the Feasibility of AI-Generated Questions in Educational Settings.

Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI (2024)
Presentation / Conference Contribution
Palazzolo, P., Stahl, B., & Webb, H. (2024, September). Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI. Presented at Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Given the pervasive integration of artificial intelligence (AI) into our daily lives, establishing public trust is paramount for maximizing AI's benefits and ensuring its responsible use. This research proposes an investigation into the feasibility o... Read More about Measurable Trust: The Key to Unlocking User Confidence in Black-Box AI.

Responsible AI in policing (2024)
Presentation / Conference Contribution
Webb, H., Fitzroy-Dale, N., Aqeel, S., Piskopani, A.-M., Stafford-Fraser, Q., Dowthwaite, L., McAuley, D., & Hargreaves, C. (2024, September). Responsible AI in policing. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas, USA

The deployment of AI-driven technologies in policing is often welcomed as an opportunity to enhance efficiency in dealing with crime. At the same time, however, these technologies pose risks around data bias, data protection, accuracy and privacy. In... Read More about Responsible AI in policing.

Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM). (2024)
Presentation / Conference Contribution
Baguley, K., Fischer, J., & Hyde, R. (2024, September). Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM). Presented at Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas

We present a new prototype tool intended to enable SMOs without specialist expertise in the area to implement Automated Decision-Making (ADM) with confidence. We report on the design and (briefly) evaluation of the tool, demonstrating the potential u... Read More about Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM)..

A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems (2024)
Presentation / Conference Contribution
Barnard, P., Boudouraki, A., & Clos, J. (2024, September). A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS '24), Austin, Texas

The Trustworthy Autonomous Systems (TAS) Hub is a collabora-tive platform that aims to guide the development of autonomous systems that are safe, reliable, and ultimately trusted by society. Its mission is to address the challenges surrounding the gr... Read More about A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems.

Advancing Saliency Ranking with Human Fixations: Dataset, Models and Benchmarks (2024)
Presentation / Conference Contribution
Deng, B., Song, S., French, A. P., Schluppeck, D., & Pound, M. P. (2024, June). Advancing Saliency Ranking with Human Fixations: Dataset, Models and Benchmarks. Presented at Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA

Saliency ranking detection (SRD) has emerged as a challenging task in computer vision, aiming not only to identify salient objects within images but also to rank them based on their degree of saliency. Existing SRD datasets have been created primaril... Read More about Advancing Saliency Ranking with Human Fixations: Dataset, Models and Benchmarks.

Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems (2024)
Presentation / Conference Contribution
Leesakul, N., Clos, J., & Hyde, R. (2024, September). Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems. Presented at TAS '24: Second International Symposium on Trustworthy Autonomous Systems, Austin, Texas, USA

Does the law stifle technology adoption? At the surface, it may appear to be that there is a regulatory gap and, therefore, such uncertainty can hinder the development and deployment of collaborative industrial embodied autonomous systems (Cobots). C... Read More about Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems.

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide (2024)
Journal Article
Taher, R., Hall, C. L., Gomez Bergin, A. D., Gupta, N., Heaysman, C., Jacobsen, P., Kabir, T., Kalnad, N., Keppens, J., Hsu, C.-W., McGuire, P., Peters, E., Shergill, S., Stahl, D., Wensley Stock, B., & Yiend, J. (2024). Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide. Trials, 25, Article 604. https://doi.org/10.1186/s13063-024-08421-1

Background: The field of digital mental health has followed an exponential growth trajectory in recent years. While the evidence base has increased significantly, its adoption within health and care services has been slowed by several challenges, inc... Read More about Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide.

Explain the world – Using causality to facilitate better rules for fuzzy systems (2024)
Journal Article
Zhang, T., Wagner, C., & Garibaldi, J. M. (2024). Explain the world – Using causality to facilitate better rules for fuzzy systems. IEEE Transactions on Fuzzy Systems, 1-14. https://doi.org/10.1109/TFUZZ.2024.3457962

The rules of a rule-based system provide explanations for its behaviour by revealing the relationships between the variables captured. However, ideally, we have AI systems which go beyond explainable AI (XAI), that is, systems which not only explain... Read More about Explain the world – Using causality to facilitate better rules for fuzzy systems.

The sound heritage of Kotagede: the evolving soundscape of a living museum (2024)
Journal Article
Mediastika, C. E., Sudarsono, A. S., Utami, S. S., Setiawan, T., Mansell, J. G., Santosa, R. B., Wiratama, A., Yanti, R. J., & Cliffe, L. (2024). The sound heritage of Kotagede: the evolving soundscape of a living museum. Built Heritage, 8(1), Article 38. https://doi.org/10.1186/s43238-024-00145-0

Kotagede, the capital of the ancient Mataram Kingdom and currently an area in the Yogyakarta Province of Indonesia, is known as a ‘real living museum’. It was previously a residential area with many vital premises and heritage buildings that became a... Read More about The sound heritage of Kotagede: the evolving soundscape of a living museum.

"It's All Connected" -A Boardgame to Communicate Climate Impacts of IoT (2024)
Presentation / Conference Contribution
Castle-Green, T., Lewandowska, K., & Sailaja, N. (2024, September). "It's All Connected" -A Boardgame to Communicate Climate Impacts of IoT. Presented at GoodIT '24: International Conference on Information Technology for Social Good, Bremen, Germany

Fueled by the rapidly increasing Internet of Things industry, the volume of global e-waste escalates annually posing significant health and environmental risks. Our research around repairability of IoT devices to elongate their lifespan has uncovered... Read More about "It's All Connected" -A Boardgame to Communicate Climate Impacts of IoT.

Predicting Acute Pain Levels Implicitly from Vocal Features (2024)
Presentation / Conference Contribution
Williams, J., Schneiders, E., Card, H., Seabrooke, T., Pakenham-Walsh, B., Azim, T., Valls-Reed, L., Vigneswaran, G., Bautista, J. R., Chandra, R., & Farahi, A. (2024, September). Predicting Acute Pain Levels Implicitly from Vocal Features. Poster presented at Interspeech 2024, Kos Island, Greece

Evaluating pain in speech represents a critical challenge in high-stakes clinical scenarios, from analgesia delivery to emergency triage. Clinicians have predominantly relied on direct verbal communication of pain which is difficult for patients with... Read More about Predicting Acute Pain Levels Implicitly from Vocal Features.

An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization (2024)
Journal Article
Diehl, A., Abdul- Rahman, A., Bach, B., El-Assady, M., Kraus, M., S. Laramee, R., A. Keim, D., & Chen, M. (2024). An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization. IEEE Transactions on Visualization and Computer Graphics, https://doi.org/10.1109/TVCG.2024.3452985

Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typical workflows in visualization and visual analytics (VIS), unveiling... Read More about An Analysis of the Interplay and Mutual Benefits of Grounded Theory and Visualization.

Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments (2024)
Journal Article
Chen, X., Qu, R., Dong, J., Dong, H., & Bai, R. (2024). Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments. Applied Soft Computing, 166, Article 112190. https://doi.org/10.1016/j.asoc.2024.112190

Efficient truck dispatching strategies are paramount in container terminal operations. The quality of these strategies heavily relies on accurate and expedient simulations, which provide a crucial platform for training and evaluating dispatching algo... Read More about Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments.