Publications
Filter by type
Filter by theme
- All
- Assistive & Accessible Technology
- Inclusive Design
- Culture and Participation
- Climate & Crisis Resilience
- Inclusive Educational Technology
Filter by research group
- All
- Disability Interactions
- Physiological Computing
- Social Justice
- Humanitarian & Disasters
- Local Productions
Sort
- Date descending
- Date ascending
- A-Z by title
![A dusty market street in an African country](https://cdn.disabilityinnovation.com/uploads/images/_publicationImage/120689/shashi-yadav-Mn9mcQK81zI-unsplash.webp?v=1706086040)
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.
![](https://cdn.disabilityinnovation.com/uploads/images/_publicationImage/120448/PhD-2.webp?v=1706086037)
Type
Themes
Maryam Bandukda, Aneesha Singh, Catherine Holloway, Nadia Berthouze, Emeline Brulé, Ana Tajadura-Jiménez, Oussama Metatla, Ana Javornik, and Anja Thieme
The emerging possibilities of multisensory interactions provide an exciting space for disability and open up opportunities to explore new experiences for perceiving one's own body, it's interactions with the environment and also to explore the environment itself. In addition, dynamic aspects of living with disability, life transitions, including ageing, psychological distress, long-term conditions such as chronic pain and new conditions such as long-COVID further affect people's abilities. Interactions with this diversity of embodiments can be enriched, empowered and augmented through using multisensory and cross-sensory modalities to create more inclusive technologies and experiences. To explore this, in this workshop we will explore three related sub-domains: immersive multi-sensory experiences, embodied experiences, and disability interactions and design.
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
![""](https://cdn.disabilityinnovation.com/uploads/images/_publicationImage/126872/publications-page-24.webp?v=1706086035)
Type
Themes
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
![](https://cdn.disabilityinnovation.com/uploads/images/_publicationImage/126869/publications-page-23.webp?v=1706086035)
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