Outputs (7)

Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma (2023)
Journal Article
Burrows, L., Sculthorpe, D., Zhang, H., Rehman, O., Mukherjee, A., & Chen, K. (2024). Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma. Journal of Pathology Informatics, 15, Article 100351. https://doi.org/10.1016/j.jpi.2023.100351

Whilst automated analysis of immunostains in pathology research has focused predominantly on the epithelial compartment, automated analysis of stains in the stromal compartment is challenging and therefore requires time-consuming pathological input a... Read More about Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.

Designing Apps to Track Mental Workload (2023)
Presentation / Conference Contribution
Wilson, M., Shaban, J., Ma, X., Shalliker, M., Midha, S., & Sharples, S. (2023, September). Designing Apps to Track Mental Workload. Paper presented at The Future of Cognitive Personal Informatics, Athens, Greece and online

Brain-related wearables are now freely available on the market, and with even wrist-worn devices making estimates about cognitive activity, understanding Cognitive Personal Informatics (CogPI) has become a pressing issue. In this paper, we present a... Read More about Designing Apps to Track Mental Workload.

Responsible Research and Innovation (RRI) Prompts and Practice Cards: a Tool to Support Responsible Practice (2023)
Presentation / Conference Contribution
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.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
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.

Responsible AI and the Arts: The Ethical and Legal Implications of AI in the Arts and Creative Industries (2023)
Presentation / Conference Contribution
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.

Explainable AI for the Arts: XAIxArts (2023)
Presentation / Conference Contribution
Bryan-Kinns, N., Ford, C., Chamberlain, A., Benford, S. D., Kennedy, H., Li, Z., …Rezwana, J. (2023). Explainable AI for the Arts: XAIxArts. In C&C '23: Proceedings of the 15th Conference on Creativity and Cognition. https://doi.org/10.1145/3591196.3593517

This first workshop on explainable AI for the Arts (XAIxArts) brings together a community of researchers and creative practitioners in Human-Computer Interaction (HCI), Interaction Design, AI, explainable AI (XAI), and Digital Arts to explore the rol... Read More about Explainable AI for the Arts: XAIxArts.

Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale (2023)
Journal Article
Borsci, S., Prati, E., Malizia, A., Schmettow, M., Chamberlain, A., & Federici, S. (2023). Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale. Personal and Ubiquitous Computing, 27(6), 2161-2170. https://doi.org/10.1007/s00779-023-01731-2

Chatbot-based tools are becoming pervasive in multiple domains from commercial websites to rehabilitation applications. Only recently, an eleven-item satisfaction inventory was developed (the ChatBot Usability Scale, BUS-11) to help designers in the... Read More about Ciao AI: the Italian adaptation and validation of the Chatbot Usability Scale.