# SweeperBot: Making 3D Browsing Accessible through View Analysis and Visual Question Answering

Source: [SweeperBot: Making 3D Browsing Accessible through View Analysis and Visual Question Answering](<https://www.sota2.com/research/paper/691d4f51d6b0dd334292d92e>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-11-25T05:03:07.149Z

Authors: Chen Chen, Cuong Nguyen, Alexa Siu, Dingzeyu Li, Nadir Weibel

Published: 2025-11-18T15:09:12.000Z

## Abstract

Accessing 3D models remains challenging for Screen Reader (SR) users. While some existing 3D viewers allow creators to provide alternative text, they often lack sufficient detail about the 3D models. Grounded on a formative study, this paper introduces SweeperBot, a system that enables SR users to leverage visual question answering to explore and compare 3D models. SweeperBot answers SR users' visual questions by combining an optimal view selection technique with the strength of generative- and recognition-based foundation models. An expert review with 10 Blind and Low-Vision (BLV) users with SR experience demonstrated the feasibility of using SweeperBot to assist BLV users in exploring and comparing 3D models. The quality of the descriptions generated by SweeperBot was validated by a second survey study with 30 sighted participants.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2511.14567>)

[PDF](<https://arxiv.org/pdf/2511.14567.pdf>)