Abraham Glasser

schoolGallaudet Universitybar_chart#2273 Global Rank

Total Papers

HCI Rank

#2273

Research Areas

Years Active

Recent Publications

Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

We investigate intelligent personal assistants (IPAs) accessibility for deaf and hard of hearing (DHH) people who can use their voice in everyday communication. The inability of IPAs to understand diverse accents including deaf speech renders them largely inaccessible to non-signing and speaking DHH individuals. Using…

CHI '26CorrespondingHonorable MentionSocial & Collaborative VR +2

Reclaiming VR Design Authority: Deaf Signers Shaping Immersive Classrooms

Deaf students face a persistent visual attention split between signer and instructional materials. Although virtual reality (VR) is often promoted as an educational solution, it typically reinforces hearing norms (e.g., caption overlays or interpreter boxes onto hearing classrooms). Our work foregrounds Deaf leadershi…

CHI '245th+ AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +1

Assessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants

With the recent advancements in intelligent personal assistants (IPAs), their popularity is rapidly increasing when it comes to utilizing Automatic Speech Recognition within households. In this study, we used a Wizard-of-Oz methodology to evaluate and compare the usability of American Sign Language (ASL), Tap to Alexa…

CHI '245th+ AuthorHonorable MentionVoice Accessibility +2

How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge

This paper presents a mixed methods study on how deaf, hard of hearing and hearing viewers perceive live TV caption quality with captioned video stimuli designed to mirror TV captioning experiences. To assess caption quality, we used four commonly-used quality metrics focusing on accuracy: word error rate, weighted wo…

MOBILEHCI '232nd AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +2

Tap to Sign: Towards using American Sign Language for text entry on smartphones

Soon, smartphones may be capable of allowing American Sign Language (ASL) signing and/or fingerspelling for text entry. To explore the usefulness of this approach, we compared emulated fingerspelling recognition with a virtual keyboard for 12 Deaf participants. With practice, fingerspelling is faster (42.5 wpm), poten…

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