HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Accessibility and Assistive Technology / Deaf and Hard-of-Hearing ASL and Caption Support

Deaf users struggle to personalize sound recognition tools to meet daily safety and social needs.

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Deaf users struggle to personalize sound recognition tools to meet daily safety and social needs.

UbiComp '21Toward User-Driven Sound Recognizer Personalization with People Who Are d/Deaf or Hard of Hearing

Similar questions

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Users with hearing loss struggle to meet daily needs with existing sound recognition tools.

CHI '25SPECTRA: Personalizable Sound Recognition for Deaf and Hard of Hearing Users through Interactive Machine Learning

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Multilingual users including people with disabilities struggle to obtain accurate content with existing captioning technology.

CHI '25Toward Language Justice: Exploring Multilingual Captioning for Accessibility

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Existing technology neglects Deaf culture and self-determined design needs, with limited functionality.

CHI '25Speculating Deaf Tech: Reimagining Technologies Centering Deaf People

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Makerspaces neglect deaf communities and lack key accessibility design such as sign language support.

CHI '25From Participation to Solidarity: A Case Study on Access of Maker Spaces from Deaf and Hearing Perspectives

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Non-native English speakers and learners with visual or hearing impairments face significant barriers in learning programming.

CHI '25Wordplay: Accessible, Multilingual, Interactive Typography

lightbulbPractical problemDeaf and Hard-of-Hearing ASL and Caption Support

Aphasic patients cannot smoothly understand audiovisual content, affecting entertainment and information access.

CHI '24Lights, Camera, Access: A Closeup on Audiovisual Media Accessibility and Aphasia

Related papers

SPECTRA: Personalizable Sound Recognition for Deaf and Hard of Hearing Users through Interactive Machine Learning

Steven M. Goodman, Emma J McDonnell, Jon E Froehlich

Toward Language Justice: Exploring Multilingual Captioning for Accessibility

Aashaka Desai, Rahaf Alharbi, Stacy Hsueh

Speculating Deaf Tech: Reimagining Technologies Centering Deaf People

Robin Angelini, Katta Spiel, Maartje De Meulder

From Participation to Solidarity: A Case Study on Access of Maker Spaces from Deaf and Hearing Perspectives

Oliver Suchanek, Janis Lena Meissner, Robin Angelini

Wordplay: Accessible, Multilingual, Interactive Typography

Amy J Ko, Carlos Aldana Lira, Isabel Amaya

Lights, Camera, Access: A Closeup on Audiovisual Media Accessibility and Aphasia

Alexandre Nevsky, Timothy Neate, Elena Simperl

A Way for Deaf and Hard of Hearing People to Enjoy Music by Exploring and Customizing Cross-modal Music Concepts

Youjin Choi, Junryeol Jeon, ChungHa Lee

"Caption it in an Accessible Way That is Also Enjoyable": Characterizing User-Driven Captioning Practices on TikTok

Emma J McDonnell, Tessa Eagle, Pitch Sinlapanuntakul

Sparkling Silence:Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers

Beiyan Cao, Changyang He, Muzhi Zhou

Visible Nuances: A Caption System to Visualize Paralinguistic Speech Cues for Deaf and Hard-of-Hearing Individuals

JooYeong Kim, Sooyeon Ahn, Jin-Hyuk Hong

Designing and Evaluating the User Experience of Wearable Assistive Devices for Single-Sided Deafness

Ken Takaki, Etsushi Nozaki, Tomomi Kanai

ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users

Dhruv Jain, Khoa Huynh Anh Nguyen, Steven M. Goodman