All Outputs (2129)

Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring (2024)
Journal Article
Turner, A., & Sharkey, D. (2024). Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring. Sensors, 24(20), Article 6619. https://doi.org/10.3390/s24206619

Neurodevelopment is a highly intricate process, and early detection of abnormalities is critical for optimizing outcomes through timely intervention. Accurate and cost-effective diagnostic methods for neurological disorders, particularly in infants,... Read More about Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring.

Designing Prosocial More-Than-Human Rhetoric within Experiential Futures (2024)
Presentation / Conference Contribution
Coulton, P., Stead, M., Pilling, M., Crabtree, A., Chamberlain, A., & Sailaja, N. (2024, October). Designing Prosocial More-Than-Human Rhetoric within Experiential Futures. Presented at Mindtrek 2024, Tampere, Finland

While prosocial behaviour is often described as behaviour intended to help and benefit others, it is primarily considered through an anthropocentric lens in that the others in question are principally humans. In this research, we consider designed sy... Read More about Designing Prosocial More-Than-Human Rhetoric within Experiential Futures.

Rethinking ethics in interdisciplinary and big data-driven neuroscience projects (2024)
Journal Article
Stahl, B. C., Ogoh, G., Schumann, G., Walter, H., On behalf of the environMENTAL consortium, Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Bernas, A., Serin, E., Jentsch, M., Hitchen, E., Polemiti, E., Kebir, H., Lett, T. A., Roy, J.-C., Eils, R., Taron, U.-H., …Ogoh, G. (2024). Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. nature mental health, 2, 1128–1130. https://doi.org/10.1038/s44220-024-00320-3

What you hear is what you see? Perspectives on modalities in sound and music interaction (2024)
Journal Article
Iber, M., Enge, K., Rönnberg, N., Neidhardt, A., Schnell, N., Pollack, K., kallionpää, M., & Chamberlain, A. (2024). What you hear is what you see? Perspectives on modalities in sound and music interaction. Personal and Ubiquitous Computing, 28(5), 655-656. https://doi.org/10.1007/s00779-024-01835-3

Special issue: Perspectives on Modalities in Sound and Music Interaction

Issue Editors: Michael Iber, Kajetan Enge, Niklas Rönnberg, Annika Neidhardt, Norbert Schnell, Katharina Pollack, Maria Kallionpää, Alan Chamberlain

Full Contents
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Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa (2024)
Journal Article
Busoms, S., da Silva, A. C., Escolà, G., Abdilzadeh, R., Curran, E., Bollmann-Giolai, A., Bray, S., Wilson, M., Poschenrieder, C., & Yant, L. (2024). Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa. Proceedings of the National Academy of Sciences, 121(40), Article e2407821121. https://doi.org/10.1073/pnas.2407821121

It is normally supposed that populations of the same species should evolve shared mechanisms of adaptation to common stressors due to evolutionary constraint. Here, we describe a system of within-species local adaptation to coastal habitats, Brassica... Read More about Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa.

Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets (2024)
Journal Article
Gao, H., Huang, B., Chen, G., Xia, L., & Radenkovic, M. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment, 315, Article 114425. https://doi.org/10.1016/j.rse.2024.114425

The world’s first scientific satellite for sustainable development goals (SDGSAT-1) provides valuable data about offshore small-scale ocean phenomena, including the Kármán vortex street phenomenon. Although the simulation of the oce... Read More about Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets.

FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems (2024)
Journal Article
Li, J., Jiang, W., He, Y., Yang, Q., Gao, A., Ha, Y., Özcan, E., Bai, R., Cui, T., & Yu, H. (2024). FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems. IEEE Transactions on Computers, 74(1), 71 - 85. https://doi.org/10.1109/TC.2024.3465933

Deep Reinforcement Learning (DRL)-based Dynamic Voltage Frequency Scaling (DVFS) has shown great promise for energy conservation in embedded systems. While many works were devoted to validating its efficacy or improving its performance, few discuss t... Read More about FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems.

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima (2024)
Journal Article
Yu, Y., Huang, B., Radenkovic, M., Wang, T., & Chen, G. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4211013. https://doi.org/10.1109/tgrs.2024.3464850

Subsurface chlorophyll maximum (SCM) is a crucial ecological indicator for marine ecosystems. Previous studies have indicated that this phenomenon is globally widespread. Although the biogeochemical argo assimilation results have yielded positive res... Read More about Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

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.

LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation (2024)
Presentation / Conference Contribution
Clos, J., McClaughlin, E., Barnard, P., Tom, T., & Yajaman, S. (2024, September). LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas, USA

Online misinformation is an ever-growing challenge that can have a negative impact on individuals, societies, and democracies. We report on LOOM, a project that aims to build and validate a browser-based tool to detect and respond to misinformation i... Read More about LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation.

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.

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.

Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature (2024)
Presentation / Conference Contribution
Clos, J., & Chen, Y. Y. (2024, September). Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas

Generative artificial intelligence (AI) has become one of the main concerns of knowledge workers due to its ability to mimic realistic human reasoning and creativity. However, this integration raises critical concerns about trust and ethics, which ar... Read More about Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature.

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.

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.

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)..

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.

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.

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.