Outputs (2097)

Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics (2023)
Presentation / Conference Contribution
Zhou, F., Price, D., Pacchierotti, C., & Kucukyilmaz, A. (2023, July). Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics. Poster presented at IEEE World Haptics Conference, Delft, Netherlands

This work-in-progress paper presents a prototyping toolkit developed to design haptic interaction experiences. With developments in wearable and sensor technologies, new opportunities arise everyday to create rich haptic interaction experiences actin... Read More about Somabotics Toolkit for Rapid Prototyping Human-Robot Interaction Experiences using Wearable Haptics.

Examining the Use of Autonomous Systems for Home Health Support using a Smart Mirror (2023)
Preprint / Working Paper
Dowthwaite, L., Reyez Cruz, G., Pena, A. R., Pepper, C., Jäger, N., Barnard, P., …Benford, S. Examining the Use of Autonomous Systems for Home Health Support using a Smart Mirror

The home is becoming a key location for healthcare delivery, including the use of technology driven by autonomous systems (AS) to monitor and support healthcare plans. Using the example of a smart mirror, this paper describes the outcomes of focus gr... Read More about Examining the Use of Autonomous Systems for Home Health Support using a Smart Mirror.

TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety (2023)
Journal Article
Ito-Jaeger, S., Lane, G., Dowthwaite, L., Webb, H., Patel, M., Rawsthorne, M., …Perez Vallejos, E. (2023). TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety. International Journal of Qualitative Methods, 22, 1-10. https://doi.org/10.1177/1609406923118696

This paper presents a new methodological approach, TrustScapes, an open access tool designed to identify and visualise stakeholders’ concerns and policy recommendations on data protection, algorithmic bias, and online safety for a fairer and more tru... Read More about TrustScapes: A visualisation tool to capture stakeholders' concerns and recommendations about data protection, algorithmic bias, and online safety.

TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety (2023)
Journal Article
Ito-Jaeger, S., Lane, G., Dowthwaite, L., Webb, H., Patel, M., Rawsthorne, M., …Perez Vallejos, E. (2023). TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety. International Journal of Qualitative Methods, 22, https://doi.org/10.1177/16094069231186965

This paper presents a new methodological approach, TrustScapes, an open access tool designed to identify and visualise stakeholders’ concerns and policy recommendations on data protection, algorithmic bias, and online safety for a fairer and more tru... Read More about TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety.

Thinking Like a Machine: Alan Turing, Computation and the Praxeological Foundations of AI (2023)
Journal Article
Saha, D., Brooker, P., Mair, M., & Reeves, S. (2023). Thinking Like a Machine: Alan Turing, Computation and the Praxeological Foundations of AI. Science & Technology Studies, 37(2), https://doi.org/10.23987/sts.122892

As part of ongoing research bridging ethnomethodology and computer science, in this article we offer an alternate reading of Alan Turing’s 1936 paper, “On Computable Numbers”. Following through Turing’s machinic respecification of computation, we hop... Read More about Thinking Like a Machine: Alan Turing, Computation and the Praxeological Foundations of AI.

Explaining time series classifiers through meaningful perturbation and optimisation (2023)
Journal Article
Meng, H., Wagner, C., & Triguero, I. (2023). Explaining time series classifiers through meaningful perturbation and optimisation. Information Sciences, 645, Article 119334. https://doi.org/10.1016/j.ins.2023.119334

Machine learning approaches have enabled increasingly powerful time series classifiers. While performance has improved drastically, the resulting classifiers generally suffer from poor explainability, limiting their applicability in critical areas. S... Read More about Explaining time series classifiers through meaningful perturbation and optimisation.

Effects of urban living environments on mental health in adults (2023)
Journal Article
Xu, J., Liu, N., Polemiti, E., Garcia-Mondragon, L., Tang, J., Liu, X., Lett, T., Yu, L., Nöthen, M. M., Feng, J., Yu, C., Marquand, A., Schumann, G., Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Serin, E., Jentsch, M., …Ogoh, G. (2023). Effects of urban living environments on mental health in adults. Nature Medicine, 29(6), 1456-1467. https://doi.org/10.1038/s41591-023-02365-w

Urban-living individuals are exposed to many environmental factors that may combine and interact to influence mental health. While individual factors of an urban environment have been investigated in isolation, no attempt has been made to model how c... Read More about Effects of urban living environments on mental health in adults.

Assessing responsible innovation training (2023)
Journal Article
Stahl, B. C., Aicardi, C., Brooks, L., Craigon, P. J., Cunden, M., Burton, S. D., …Webb, H. (2023). Assessing responsible innovation training. Journal of Responsible Technology, 16, Article 100063. https://doi.org/10.1016/j.jrt.2023.100063

There is broad agreement that one important aspect of responsible innovation (RI) is to provide training on its principles and practices to current and future researchers and innovators, notably including doctoral students. Much less agreement can be... Read More about Assessing responsible innovation training.

Reflections on Responsible Research and Innovation (RRI) for Trustworthy Autonomous Systems (TAS): A message from Journal of Responsible Technology Special Issue's editors (2023)
Journal Article
Vallejos, E. P., Dowthwaite, L., Barnard, P., & Coomber, B. (2023). Reflections on Responsible Research and Innovation (RRI) for Trustworthy Autonomous Systems (TAS): A message from Journal of Responsible Technology Special Issue's editors. Journal of Responsible Technology, 14, Article 100059. https://doi.org/10.1016/j.jrt.2023.100059

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.