Document Type

Conference Paper

Publication Date

2025

DOI

10.1145/3744257.3744279

Publication Title

W4A '25: Proceedings of the 22nd International Web of All Conference

Pages

22-24

Conference Name

W4A '25: 22nd International Web for All Conference, April 28-29, 2025, Sydney, Australia

Abstract

Efficiently perusing online customer reviews is presently challenging for blind users, who rely on a screen reader that supports predominantly one-dimensional narration of content via keyboard shortcuts. To address this, with restaurant reviews as seminal case study, we developed QuickCue, a browser extension prototype that enables screen reader users to quickly obtain the positives and negatives regarding different aspects of a restaurant (e.g., food quality, hygiene, ambiance), without having to sift through numerous reviews containing redundant information. At its core, QuickCue utilizes a large language model to perform aspect and sentiment-based joint classification of reviews to group them based on the types of contained information, followed by focused summarizations within the groups to generate concise representations of reviewers’ opinions, which are then presented to users via an accessible interface. Evaluation of QuickCue in a user study with 10 participants showed significant improvements in overall usability and task workload compared to the status quo screen reader.

Rights

© 2025 Copyright held by the owner/authors.

This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Original Publication Citation

Sunkara, M., Kolgar Nayak, A., Kalari, S., Prakash, Y., Jayarathna, S., Lee, H. N., & Ashok, V. (2025). QuickQue: Enabling quick access to information in user reviews for screen reader users. In B. Norton & T. Kingsmill (Eds.), W4A '25: Proceedings of the 22nd International Web for All Conference (pp. 22-24). Association for Computing Machinery. https://doi.org/10.1145/3744257.3744279

ORCID

0000-0002-6970-0203 (Sunkara), 0009-0000-9992-9706 (Nayak), 0009-0003-0927-8252 (Kalari), 0000-0001-8593-327X (Prakash), 0000-0002-4879-7309 (Jayarathna), 0000-0002-4772-1265 (Ashok)

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