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Themes
Research Group
Tigmanshu Bhatnagar, George Torrens, Ben Oldfrey, Priya Morjaria
Felipe Ramos Barajas, Katherine Perry and Catherine Holloway
Access to information on digital platforms not only facilitates education, employment, entertainment, social interaction but also facilitates critical governmental services, ecommerce, healthcare services and entrepreneurship [1]. Article 9 of United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) enforces its signatories to commit to provide full accessibility to every citizen of the nation [2]. This has helped to spearhead accessibility directives such as the European Accessibility Act [3] that aims to improve the functioning of markets for accessible products and services. Such directives contribute to ensure that mainstream digital technologies (smartphones, computers etc.) are accessible for everyone and without being socially remarkable, they are able to assist in daily living. Additionally, there is evidence that improving access in mainstream technologies improves product experience and usability for everyone [4]. However, mainstream access has not been fully realized, leading to inferior opportunities for people with disabilities, a disparity which is more prominent in lower and middle-income countries [5].
RESNA Annual Conference; 2021
Type
Themes
Research Group
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
Type
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
Type
Themes
Research Group
Giulia Barbareschi, Dafne Zuleima Morgado-Ramirez, Catherine Holloway, Swami Manohar Swaminathan, Aditya Vashistha, and Edward Cutrell.
Approximately 15% of the world's population has a disability and 80% live in low resource-settings, often in situations of severe social isolation. Technology is often inaccessible or inappropriately designed, hence unable to fully respond to the needs of people with disabilities living in low resource settings. Also lack of awareness of technology contributes to limited access. This workshop will be a call to arms for researchers in HCI to engage with people with disabilities in low resourced settings to understand their needs and design technology that is both accessible and culturally appropriate.
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems.
Type
Themes
Nusrat Jahan, Giulia Barbareschi, Clara Aranda Jan, Charles Musungu Mutuku, Naemur Rahman, Victoria Austin, Catherine Holloway
Worldwide it is estimated that there are over a billion people who live with some form of disability [1]. Approximately 80% of people with disabilities live in low-and-middle income countries (LMICs). The combination of an inaccessible environment compounded by socio-economic factors such as poverty and stigma, makes it more likely for people with disabilities to be marginalised and excluded from society [1]. Assistive Technologies (ATs) are known to bridge the accessibility gaps and allow for greater social inclusion. However, there is a lack of adequate access to ATs in LMICs, combined with often poorly designed services, which only magnifies these challenges, thus limiting the opportunities for persons with disabilities to live an independent life [2]. Despite the importance of AT, access to AT globally is inadequate with only 10 percent of those in need having access to the ATs that they need [2].
2020 IEEE Global Humanitarian Technology Conference
Type
Themes
Maryam Bandukda, Catherine Holloway, Aneesha Singh, Giulia Barbareschi, Nadia Berthouze
We conducted semi-structured interviews with 20 BPS people and 8 Mobility and Orientation Trainers (MOT). The interviews were thematically analysed and organised into four overarching themes discussing factors influencing the self-efficacy belief of BPS people: Tools and Strategies for O&M training, Technology Use in O&M Training, Changing Personal and Social Circumstances, and Social Influences. We further highlight opportunities for combinations of multimodal technologies to increase access to and effectiveness of O&M training.
ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility