eprintid: 10199622
rev_number: 11
eprint_status: archive
userid: 699
dir: disk0/10/19/96/22
datestamp: 2024-11-07 16:15:25
lastmod: 2024-11-07 16:15:25
status_changed: 2024-11-07 16:15:25
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Mo, Wen
creators_name: Singh, Aneesha
creators_name: Holloway, Catherine
title: From Information Seeking to Empowerment: Using Large Language Model Chatbot in Supporting Wheelchair Life in Low Resource Settings
ispublished: pub
divisions: UCL
divisions: B02
divisions: B04
divisions: C07
divisions: D05
divisions: F70
divisions: F48
keywords: Assistive Technology, Information Seeking, Chatbot, Large Lan�guage Model Chatbot, Accessibility, Disability, Wheelchair, Low
and Middle-Income Countries, Informal Setting, Nigeria, Kenya
note: This work is licensed under a Creative Commons
Attribution-NonCommercial-ShareAlike International 4.0 License.
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.
date: 2024-10-27
date_type: published
publisher: ACM
official_url: https://doi.org/10.1145/3663548.3675609
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2329538
doi: 10.1145/3663548.3675609
isbn_13: 979-8-4007-0677-6
lyricists_name: Holloway, Catherine
lyricists_name: Singh, Aneesha
lyricists_name: Mo, Wen
lyricists_id: CSHOL54
lyricists_id: ASING59
lyricists_id: WMOXX44
actors_name: Mo, Wen
actors_id: WMOXX44
actors_role: owner
full_text_status: public
pres_type: paper
publication: The 26th International ACM SIGACCESS Conference on Computers and Accessibility
volume: 3
event_title: ASSETS '24: The 26th International ACM SIGACCESS Conference on Computers and Accessibility
book_title: The 26th International ACM SIGACCESS Conference on Computers and Accessibility
citation:        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       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10199622/4/Mo_3663548.3675609.pdf