TY - GEN
T1 - Enhancing Slide Presentation Accessibility for Blind and Low-Vision Audiences Through Delay-Buffered Editing
AU - Haque, Azizul
AU - Hong, Jonggi
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/6/12
Y1 - 2026/6/12
N2 - Slide presentations are central to classrooms and conferences but remain inaccessible to blind and low vision (BLV) audiences. Presenters rarely describe visual content or announce slide changes, leaving BLV participants with fragmented access. We present a delay-buffered editing approach that trims redundant speech and inserts concise slide descriptions at transition points in recorded presentations, operating within a fiveĝ€'second buffer. An exploratory study showed that trimming filler speech created sufficient space for descriptions and that added descriptions improved comprehension and orientation. Building on these findings, we developed an automated editing pipeline that processes recorded presentation videos and evaluated it with 12 BLV participants. Edited audios improved comprehension (from 50.0% to 88.9%), slide detection (from 16.7% to 100%), and recognition of visual elements, while participants also noted challenges in timing and prosody. These results establish delay-buffered editing as a promising approach for enhancing accessibility of recorded presentations with slides, and suggest design directions for future live deployment.
AB - Slide presentations are central to classrooms and conferences but remain inaccessible to blind and low vision (BLV) audiences. Presenters rarely describe visual content or announce slide changes, leaving BLV participants with fragmented access. We present a delay-buffered editing approach that trims redundant speech and inserts concise slide descriptions at transition points in recorded presentations, operating within a fiveĝ€'second buffer. An exploratory study showed that trimming filler speech created sufficient space for descriptions and that added descriptions improved comprehension and orientation. Building on these findings, we developed an automated editing pipeline that processes recorded presentation videos and evaluated it with 12 BLV participants. Edited audios improved comprehension (from 50.0% to 88.9%), slide detection (from 16.7% to 100%), and recognition of visual elements, while participants also noted challenges in timing and prosody. These results establish delay-buffered editing as a promising approach for enhancing accessibility of recorded presentations with slides, and suggest design directions for future live deployment.
KW - Assistive Technology
KW - Blind User
KW - Concurrent Access
KW - Presentation
KW - Understanding Slides
UR - https://www.scopus.com/pages/publications/105042756236
UR - https://www.scopus.com/pages/publications/105042756236#tab=citedBy
U2 - 10.1145/3800645.3812965
DO - 10.1145/3800645.3812965
M3 - Conference contribution
AN - SCOPUS:105042756236
T3 - DIS 2026 - Proceedngs of the 2026 ACM Designing Interactive Systems Conference
SP - 3488
EP - 3508
BT - DIS 2026 - Proceedngs of the 2026 ACM Designing Interactive Systems Conference
A2 - Yen, Ching Chiuan
A2 - Lee, Jung-Joo
A2 - Do, Ellen Yi-Luen
A2 - Zheng, Clement
A2 - Yoo, Daisy
A2 - Tang, Tony
T2 - ACM conference on Designing Interactive Systems, DIS 2026
Y2 - 13 June 2026 through 17 June 2026
ER -