Enabling Convenient Online Collaborative Writing for Low Vision Screen Magnifier Users
Online collaborative editors have become increasingly prevalent in both professional and academic settings. However, little is known about how usable these editors are for low vision screen magnifier users, as existing research works have predominantly focused on blind screen reader users. An interview study revealed that it is arduous and frustrating for screen magnifier users to perform even the basic collaborative writing activities, such as addressing collaborators’ comments and reviewing document changes. Specific interaction challenges underlying these issues included excessive panning, content occlusion, large empty space patches, and frequent loss of context. To address these challen- doi
- 10.1145/3511095.3531274
- name
- Enabling Convenient Online Collaborative Writing for Low Vision Screen Magnifier Users
- source
- acm-html-via-r.jina.ai
- acm_url
- https://dl.acm.org/doi/10.1145/3511095.3531274
- authors
- Hae-Na Lee, Yash Prakash, Mohan Sunkara, I.V. Ramakrishnan, Vikas Ashok
- doi_url
- https://doi.org/10.1145/3511095.3531274
- license
- © 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.
- summary
- Online collaborative editors have become increasingly prevalent in both professional and academic settings. However, little is known about how usable these editors are for low vision screen magnifier users, as existing research works have predominantly focused on blind screen reader users. An interview study revealed that it is arduous and frustrating for screen magnifier users to perform even the basic collaborative writing activities, such as addressing collaborators’ comments and reviewing document changes. Specific interaction challenges underlying these issues included excessive panning, content occlusion, large empty space patches, and frequent loss of context. To address these challen
- keywords
- Online Collaborative Writing, Low Vision, Screen Magnifier, Visual Impairment, Accessibility, Assistive Technology
- source_pdf
- HT-2022_39_31_3511095/3511095.3531274.pdf
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- full_text
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- displayAuthor
- Hae-Na Lee, Yash Prakash, Mohan Sunkara, I.V. Ramakrishnan, Vikas Ashok
- displayPublishTime
- 2022-06-28
- source_attribution
- Formatting converted from the ACM version of record under supplied ACM publication authorization.
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