Publications

Filter by theme

Filter by research group

Type

Report

Themes

Assistive & Accessible Technology
Repair of Assistive Products in the UK: Wheelchairs. Outcomes of a 1-day workshop exploring this topic from user, community and provision system perspectives

Ben M. Oldfrey a, Vikranth H. Nagaraja b, Arhym Hoonchamlong a, Laurence P.J. Kenney

Our recent one-day workshop brought together a diverse group of stakeholders to examine the challenges and opportunities in wheelchair repair services. By engaging multiple perspectives, we gained valuable insights into how improved repair processes can enhance service delivery, empower users, and support sustainability efforts.

Key discussions focused on the urgent need to address data gaps in repair practices, promote user involvement, and shift towards systems that prioritise repair and maintenance. Innovative ideas, such as creating digital profiles for wheelchairs and using AI to predict breakdowns, were explored as ways to streamline repair services and improve user autonomy.

Going forward, collaboration between manufacturers, healthcare providers, and users will be essential to building a more sustainable, user-centred approach to wheelchair repairs.

Read the full report to learn more about the ideas and strategies shared during the workshop.

Download

Repair of Assistive Products in the UK: Wheelchairs. Outcomes of a 1-day workshop exploring this topic from user, community and provision system perspectives

Type

Report

Themes

Assistive & Accessible Technology
Repair of Assistive Products in the UK: Prosthetics & Orthotics. Outcomes of a 1-day workshop exploring this topic from user, community and provision system perspectives

Ben M. Oldfrey a, Vikranth H. Nagaraja b, Arhym Hoonchamlong a, Laurence P.J. Kenney

Our recent one-day workshop brought together a diverse group of stakeholders to explore the critical role of repair in the assistive technology sector. Through a range of perspectives, we uncovered valuable insights into how repair can drive sustainability, improve service delivery, and empower users.

Key discussions centered on the urgent need for a systemic shift toward more repairable and modular designs alongside regulatory changes and innovative frameworks that support efficient repair services. We also highlighted the importance of better data on repair practices and the need for transparency and user engagement.

As we look ahead, the conversation must include all stakeholders, particularly the users themselves. This collaborative approach will be vital to building a more sustainable and repairable future for assistive technology.

Read the full report to learn more about the insights and strategies shared during the workshop.

Download

Repair of Assistive Products in the UK: Prosthetics & Orthotics. Outcomes of a 1-day workshop exploring this topic from user, community and provision system perspectives

Type

Report

Themes

Assistive & Accessible Technology
Assistive Technology Changes Lives: an assessment of AT need and capacity in England

This report was prepared by Global Disability Innovation (GDI) Hub for the Disability Unit in the Cabinet Office His Majesty’s Government (HMG). The report presents findings from a Country Capacity Assessment (CCA) of AT access in England. Findings illustrate a complex state of AT in England. While delivery systems tend to provide quality products that have a strong, positive impact on people’s lives, processes are often slow and stressful for users and providers alike. Startlingly, there is also an AT access gap of 31% of disabled people not having the assistive products they need to flourish, thrive, or even participate in daily life.

The Cabinet Office; 2023

Download

Abstract

Assistive Technology Changes Lives: an assessment of AT need and capacity in England

The aim of this research was to undertake a Country Capacity Assessment (CCA) to inform a more integrated approach to Assistive Technology (AT) provision in England. The results aim to support policymakers in identifying actions to strengthen service delivery to better meet disabled people’s needs, improving outcomes for AT users and reducing inefficiencies in the current approach.

The research was undertaken from November 2022 to March 2023 and led by the Global Disability Innovation (GDI) Hub, which is the World Health Organization (WHO) Global Collaborating Centre on AT access, using WHO tools in the Assistive Technology Assessment (ATA) suite.

Cite

Assistive Technology Changes Lives: an assessment of AT need and capacity in England

Suggested Citation: Austin, V, Patel, D, Danemayer, J, Mattick, K, Landre, A, Smitova, M, Bandukda, M, Healy, A, Chockalingam, N, Bell D, and Holloway, C; Assistive Technology Changes Lives: an assessment of AT need and capacity in England; Cabinet Office, HMG; 2023

Assistive Technology Changes Lives: an assessment of AT need and capacity in England

Type

Workshop

Themes

Assistive & Accessible Technology

Research Group

Disability Interactions
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway, John Shawe-Taylor

This paper starts by synthesising how AI might change how we learn and teach, focusing specifically on the case of personalised learning companions, and then move to discuss some socio-technical features that will be crucial for avoiding the perils of these AI systems worldwide (and perhaps ensuring their success). This paper also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We also emphasise the need for collectively designing human-centered, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as support new emerging pedagogies.

Workshop on Machine Learning for the Developing World (ML4D) at the Conference on Neural Information Processing Systems 2021; 2021

Visit publisher

Abstract

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

Artificial Intelligence (AI) in Education has been said to have the potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of new ways of teaching and learning. Millions of students are already starting to benefit from the use of these technologies, but millions more around the world are not. If this trend continues, the first delivery of AI in Education could be greater educational inequality, along with a global misallocation of educational resources motivated by the current technological determinism narrative. In this paper, we focus on speculating and posing questions around the future of AI in Education, with the aim of starting the pressing conversation that would set the right foundations for the new generation of education that is permeated by technology. This paper starts by synthesising how AI might change how we learn and teach, focusing specifically on the case of personalised learning companions, and then move to discuss some socio-technical features that will be crucial for avoiding the perils of these AI systems worldwide (and perhaps ensuring their success). This paper also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We also emphasise the need for collectively designing human-centered, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as support new emerging pedagogies. Finally, we ask what would it take for this educational revolution to provide egalitarian and empowering access to education, beyond any political, cultural, language, geographical and learning ability barriers.

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

""

Type

Workshop

Themes

Assistive & Accessible Technology
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts

Tabish Ahmed, Sahan Bulathwela

The informational needs of people are highly contextual and can depend on many different factors such as their current knowledge state, interests and goals [1, 2, 3]. However, an effective information retrieval companion should minimise the human effort required in i) expressing a human information need and ii) navigating a lengthy result set. Using topical representations of the user history (e.g. [4]) can immensely help formulating zero shot queries and refining short user queries that enable proactive information retrieval (IR). While the world has digital textual information in abundance, it can often be noisy (e.g. extracted through Automatic Speech Recognition (ASR), PDF text extraction etc.), leading to state-of-the-art neural models being highly sensitive to the noise producing sub-optimal results [5]. This demands denoising steps to refine both query and document representation. In this paper, we argue that Wikipedia, an openly available encyclopedia, can be a humanly intuitive knowledge base [6] that has the potential to provide the world view many noisy information Retrieval systems need.

Published at the First Workshop on Proactive and Agent-Supported Information Retrieval at CIKM 2022; 2022

Visit publisher

Abstract

Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts

Extracting useful information from the user history to clearly understand informational needs is a crucial feature of a proactive information retrieval system. Regarding understanding information and relevance, Wikipedia can provide the background knowledge that an intelligent system needs. This work explores how exploiting the context of a query using Wikipedia concepts can improve proactive information retrieval on noisy text. We formulate two models that use entity linking to associate Wikipedia topics with the relevance model. Our experiments around a podcast segment retrieval task demonstrate that there is a clear signal of relevance in Wikipedia concepts while a ranking model can improve precision by incorporating them. We also find Wikifying the background context of a query can help disambiguate the meaning of the query, further helping proactive information retrieval.

Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts

Image of artwork by Jason Wiltshire-Mills, featured on the front cover of DIX

Type

Book

Research Group

Disability Interactions
Disability Interactions Creating Inclusive Innovations

; 2021

Visit publisher

Abstract

Disability Interactions Creating Inclusive Innovations

Disability interactions (DIX) is a new approach to combining cross-disciplinary methods and theories from Human Computer Interaction (HCI), disability studies, assistive technology, and social development to co-create new technologies, experiences, and ways of working with disabled people. DIX focuses on the interactions people have with their technologies and the interactions which result because of technology use. A central theme of the approach is to tackle complex issues where disability problems are part of a system that does not have a simple solution. Therefore, DIX pushes researchers and practitioners to take a challenge-based approach, which enables both applied and basic research to happen alongside one another. DIX complements other frameworks and approaches that have been developed within HCI research and beyond. Traditional accessibility approaches are likely to focus on specific aspects of technology design and use without considering how features of large-scale assistive technology systems might influence the experiences of people with disabilities. DIX aims to embrace complexity from the start, to better translate the work of accessibility and assistive technology research into the real world. DIX also has a stronger focus on user-centered and participatory approaches across the whole value chain of technology, ensuring we design with the full system of technology in mind (from conceptualization and development to large-scale distribution and access). DIX also helps to acknowledge that solutions and approaches are often non-binary and that technologies and interactions that deliver value to disabled people in one situation can become a hindrance in a different context. Therefore, it offers a more nuanced guide to designing within the disability space, which expands the more traditional problem-solving approaches to designing for accessibility. This book explores why such a novel approach is needed and gives case studies of applications highlighting how different areas of focus—from education to health to work to global development—can benefit from applying a DIX perspective. We conclude with some lessons learned and a look ahead to the next 60 years of DIX.

Disability Interactions Creating Inclusive Innovations