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Assistive & Accessible Technology
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The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

Giulia Barbareschi, Catherine Holloway, Katherine Arnold, Grace Magomere, Wycliffe Ambeyi Wetende, Gabriel Ngare, Joyce Olenja

We present the findings of a case study of mobile technology use by People with Visual Impairment (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.

CHI '20: Proceedings of the 2020 CHI Conference; 2020

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Abstract

The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

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.

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The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

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...

The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

Type

Conference Paper
Disability design and innovation in computing research in low resource settings

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, Catherine Holloway

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.

ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility; 2020

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Abstract

Disability design and innovation in computing research in low resource settings

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.

Cite

Disability design and innovation in computing research in low resource settings

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...

Disability design and innovation in computing research in low resource settings

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

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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

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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

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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

Colour photograph of Daniel wearing a white checked shirt and sitting at a desk facing the camera

Type

Article

Themes

Assistive & Accessible Technology
These tools help visually impaired scientists read data and journals

This article was featured in Nature and discusses tools that help visually impaired scientists read data and Journals. Innovation Manager, Daniel Hajas, was interviewed as part of this piece and highlights the need for an ecosystem approach, and access to data / visualisations for blind members of the research and science community.

Nature; 2023

These tools help visually impaired scientists read data and journals

Graphic images of wheelchair configurations

Type

Conference Paper

Themes

Assistive & Accessible Technology
Value beyond function: analyzing the perception of wheelchair innovations in Kenya

Barbareschi, G; Daymond, S; Honeywill, J; Singh, A; Noble, D; Mbugua, N; Harris, I; Austin, V; Holloway, C

The World Health Organization (WHO) defines Assistive Technology (AT) as “an umbrella term covering the systems and services related to the delivery of assistive products and services” [6]. This definition highlights how AT encompasses not only the physical and digital products used by millions of persons with disabilities (PWDs) worldwide, but also the systems and services that accompany the provision of these devices [78].

ASSETS '20: The 22nd International ACM SIGACCESS Conference on Computers and Accessibility.; 2020

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Abstract

Value beyond function: analyzing the perception of wheelchair innovations in Kenya

Innovations in the field of assistive technology are usually evaluated based on practical considerations related to their ability to perform certain functions. However, social and emotional aspects play a huge role in how people with disabilities interact with assistive products and services. Over a five months period, we tested an innovative wheelchair service provision model that leverages 3D printing and Computer Aided Design to provide bespoke wheelchairs in Kenya. The study involved eight expert wheelchair users and five healthcare professionals who routinely provide wheelchair services in their community. Results from the study show that both users and providers attributed great value to both the novel service delivery model and the wheelchairs produced as part of the study. The reasons for their appreciation went far beyond the practical considerations and were rooted in the fact that the service delivery model and the wheelchairs promoted core values of agency, empowerment and self-expression.

Value beyond function: analyzing the perception of wheelchair innovations in Kenya