Publications

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.

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

Living in an informal settlement with a visual impairment can be very challenging resulting in social exclusion. Mobile phones have been shown to be hugely beneficial to people with sight loss in formal and high-income settings. However, little is known about whether these results hold true for people with visual impairment (VIPs) in informal settlements. We present the findings of a case study of mobile technology use by VIPs in Kibera, an informal settlement in Nairobi. We used contextual interviews, ethnographic observations and a co-design workshop to explore how VIPs use mobile phones in their daily lives, and how this use influences the social infrastructure of VIPs. Our findings suggest that mobile technology supports and shapes the creation of social infrastructure. However, this is only made possible through the existing support networks of the VIPs, which are mediated through four types of interaction: direct, supported, dependent and restricted.

Giulia Barbareschi, Catherine Holloway, Katherine Arnold, Grace Magomere, Wycliffe Ambeyi Wetende, Gabriel Ngare, and Joyce Olenja. 2020. The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/331383...

80% of people with disabilities worldwide live in low resourced settings, rural areas, informal settlements and in multidimensional poverty. ICT4D leverages technological innovations to deliver programs for international development. But very few do so with a focus on and involving people with disabilities in low resource settings. Also, most studies largely focus on publishing the results of the research with a focus on the positive stories and not the learnings and recommendations regarding research processes. In short, researchers rarely examine what was challenging in the process of collaboration. We present reflections from the field across four studies. Our contributions are: (1) an overview of past work in computing with a focus on disability in low resource settings and (2) learnings and recommendations from four collaborative projects in Uganda, Jordan and Kenya over the last two years, that are relevant for future HCI studies in low resource settings with communities with disabilities. We do this through a lens of Disability Interaction and ICT4D.

Dafne Zuleima Morgado-Ramirez, Giulia Barbareschi, Maggie Kate Donovan-Hall, Mohammad Sobuh, Nida' Elayyan, Brenda T Nakandi, Robert Tamale Ssekitoleko, joyce Olenja, Grace Nyachomba Magomere, Sibylle Daymond, Jake Honeywill, Ian Harris, Nancy Mbugua, Laurence Kenney, and Catherine Holloway. 2020. Disability design and innovation in computing research in low resource settings. In Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20). Association for Computing Machinery, New York, NY, USA, Article 11, 1–7. https://doi.org/10.1145/337362...

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.