15 papers · ranked by Valyu relevance
Adam Poulsen, Ian B Hickie, Min K Chong, Haley M LaMonica + 2 more
Digital health is typically driven, in part, by the principle of personalised care. However, the underlying values and associated ethical design considerations at the intersection of personalised care, youth mental health, and digital technology are underexplored. Through a value sensitive design lens, this work aims…
Travis Greene, Galit Shmueli
Though used extensively, the concept and process of machine learning (ML) personalization have generally received little attention from academics, practitioners, and the general public. We describe the ML approach as relying on the metaphor of the person as a feature vector and contrast this with humanistic views of…
Mike Wald
This study aims to help people working in the field of AI understand some of the unique issues regarding disabled people and examines the relationship between the terms “Personalisation” and “Classification” with regard to disability inclusion. Classification using big data struggles to cope with the individual…
Hannah Rose Kirk, Bertie Vidgen, Paul Röttger, Scott A. Hale
Large language models (LLMs) are used to generate content for an increasingly wide range of tasks, and are set to reach a growing audience in coming years due to integration in product interfaces like ChatGPT or search engines like Bing. This intensifies the need to ensure that models are aligned with human preferences…
Ana Isabel Canhoto, Brendan James Keegan, Maria Ryzhikh
Artificial intelligence (AI) is expected to bring to the physical retail environment the kind of mass personalisation that is already common in online commerce, delivering offers that are targeted to each customer, and that adapt to changes in the customer’s context. However, factors related to the in-store…
Gemma Carey, Brad Crammond, Eleanor Malbon
Background Personalisation is a growing international policy paradigm that aims to create both improved outcomes for individuals, and reduce fiscal pressures on government, by giving greater choice and control to citizens accessing social services. In personalisation schemes, individuals purchase services from a…
Zhaoqi Li, Emma Brunskill
From medicine to marketing to social sciences, the promise of tailoring interventions to individuals is undeniable. However, practical applications force weighing personalization's potential benefits with its possible increased cost and fragility. We introduce a statistical hypothesis test that evaluates, given…
Jieyong Kim, Tongyoung Kim, Soojin Yoon, Jaehyung Kim + 1 more
Large language models (LLMs) have recently achieved impressive performance across a wide range of natural language tasks and are now widely used in real-world applications. Among them, black-box LLMs—served via APIs without access to model internals—are especially dominant due to their scalability and ease of…
Saida Aissi, Mohamed Salah Gouider
Geographic Information Systems (GIS) are widely used in different domains of applications, such as maritime navigation, museums visits and route planning, as well as ecological, demographical and economical applications. Nowadays, organizations need sophisticated and adapted GIS-based Decision Support System (DSS) to…
Francesca Romana Cavallo, Christofer Toumazou
Mobile health applications, which employ wireless technology for healthcare, can aid behaviour change and subsequently improve health outcomes. Mobile health applications have been developed to increase physical activity, but are rarely grounded on behavioural theory and employ simple techniques for personalisation…
Tamara Müller, Pietro Lio’
Neurodegenerative diseases such as Alzheimer’s and Parkinson’s impact millions of people worldwide. Early diagnosis has proven to greatly increase the chances of slowing down the diseases’ progression. Correct diagnosis often relies on the analysis of large amounts of patient data, and thus lends itself well to support…
Rym Khemiri, Fadila Bentayeb
Data warehousing is an essential element of decision support systems. It aims at enabling the user knowledge to make better and faster daily business decisions. To improve this decision support system and to give more and more relevant information to the user, the need to integrate user's profiles into the data…
Ekaterina Stansfield, Willi Koller, Basílio Gonçalves, Hans Kainz
Musculoskeletal simulations typically rely on generic models that may not accurately represent individual anatomy. While personalisation based on medical images can improve model accuracy, current approaches often require time-consuming workflows to create these models. We present a semi-automatic workflow for creating…
Harry Saxton, Daniel J. Taylor, Grace Faulkner, Ian Halliday + 5 more
To employ a reduced-order cardiovascular model as a digital twin for personalised medicine, it is essential to understand how uncertainties in the model’s input parameters affect its outputs. The aim is to identify a set of input parameters that can serve as clinical biomarkers, providing insight into a patient’s…
C.V. Hammond, S.T. Williams, M.M. Vega, D. Ao + 7 more
Neuromusculoskeletal injuries including osteoarthritis, stroke, spinal cord injury, and traumatic brain injury affect roughly 19% of the U.S. adult population. Standardized interventions have produced suboptimal functional outcomes due to the unique treatment needs of each patient. Strides have been made to utilize…