Mo, Wen;
Singh, Aneesha;
Holloway, Catherine;
(2024)
From Information Seeking to Empowerment: Using Large Language Model Chatbot in Supporting Wheelchair Life in Low Resource Settings.
In:
The 26th International ACM SIGACCESS Conference on Computers and Accessibility.
ACM
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Abstract
To tackle the lack of wheelchair service information and training in low and middle-income countries (LMICs), we deployed Wheelpedia, a WhatsApp chatbot powered by a large language model (LLM) as a design probe for 2 months to concretely explore how it can support wheelchair users and professionals in Nigeria and Kenya. Through 18 semi-structured interviews and analysis of 471 messages, we focused on not only Wheelpedia's acceptability and usability but also how users orient themselves with the probe, integrate its information, and manage trust with it. The findings revealed participants' overwhelming enthusiasm towards the chatbot's potential in education, fostering empowerment, and reducing social stigma. We discuss challenges like users' difficulty in formulating questions, unfamiliarity with the concept of chatbots, and requests for image output. This paper contributes valuable insights into the design implications and research opportunities for deploying LLM chatbots in low-resourced settings with complex accessibility needs.
Type: | Proceedings paper |
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Title: | From Information Seeking to Empowerment: Using Large Language Model Chatbot in Supporting Wheelchair Life in Low Resource Settings |
Event: | ASSETS '24: The 26th International ACM SIGACCESS Conference on Computers and Accessibility |
ISBN-13: | 979-8-4007-0677-6 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3663548.3675609 |
Publisher version: | https://doi.org/10.1145/3663548.3675609 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License. |
Keywords: | Assistive Technology, Information Seeking, Chatbot, Large Lan�guage Model Chatbot, Accessibility, Disability, Wheelchair, Low and Middle-Income Countries, Informal Setting, Nigeria, Kenya |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10199622 |
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