RTTD-ID: Tracked Captions with Multiple Speakers for Deaf Students
Raja Kushalnagar, Gary Behm, Kevin Wolfe, Peter Yeung, Becca Dingman,, Shareef Ali, Abraham Glasser, Claire Ryan

TL;DR
This paper introduces RTTD-ID, a real-time captioning system with speaker identification designed to improve classroom access and inclusion for deaf students by showing who is speaking during group activities.
Contribution
It presents a novel RTTD-ID system with three display schemes and evaluates their effectiveness, demonstrating improved user preference for the pointer method.
Findings
Users preferred the pointer method for speaker identification.
RTTD-ID enhances deaf students' ability to identify speakers in group settings.
The system reduces frustration and improves inclusion for deaf students.
Abstract
Students who are deaf and hard of hearing cannot hear in class and do not have full access to spoken information. They can use accommodations such as captions that display speech as text. However, compared with their hearing peers, the caption accommodations do not provide equal access, because they are focused on reading captions on their tablet and cannot see who is talking. This viewing isolation contributes to student frustration and risk of doing poorly or withdrawing from introductory engineering courses with lab components. It also contributes to their lack of inclusion and sense of belonging. We report on the evaluation of a Real-Time Text Display with Speaker-Identification, which displays the location of a speaker in a group (RTTD-ID). RTTD-ID aims to reduce frustration in identifying and following an active speaker when there are multiple speakers, e.g., in a lab. It has…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSubtitles and Audiovisual Media · Hearing Impairment and Communication · Hand Gesture Recognition Systems
