Enhancing Communication Equity: Evaluation of an Automated Speech Recognition Application in Ghana
Gifty Ayoka, Giulia Barbareschi, Richard Cave, Catherine Holloway
摘要
In Ghana people who struggle to articulate speech as a result of different conditions experience barriers in interacting with others due to difficulties in being understood. Automatic speech recognition software can be used to help listeners understand people with communication difficulties. However, studies have not looked at the practical feasibility of these technologies beyond the Global North. We present a novel user study examining the introduction of one such technology, Google Project Relate, to Ghana. This freely available mobile application can create personalised speech recognition models in English for non-standard speech to support communication. Our user study spans the training of local speech and language therapists and 20 people with communication difficulties. We utilise the Technology Amplification Theory to contribute insights on the need for technological adaptations, awareness and support to reduce differential gaps of access, capacity and motivation to expand the reach of these technologies rather than exacerbating inequalities.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper9
- "The less I type, the better": How AI Language Models can Enhance or Impede Communication for AAC UsersStephanie Valencia, Richard Cave, Krystal Kallarackal, Katie Seaver 等CHI 2023 · 被引用 92 次
- A Design Engineering Approach for Quantitatively Exploring Context-Aware Sentence Retrieval for Nonspeaking Individuals with Motor DisabilitiesPer Ola Kristensson, James Lilley, Rolf Black, Annalu WallerCHI 2020 · 被引用 76 次
- The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, KenyaGiulia Barbareschi, Catherine Holloway, Katherine Arnold, Grace Nyachomba Magomere 等CHI 2020 · 被引用 51 次
- TalkingBoogie: Collaborative Mobile AAC System for Non-verbal Children with Developmental Disabilities and Their CaregiversDonghoon Shin, Jaeyoon Song, Seokwoo Song, Jisoo Park 等CHI 2020 · 被引用 45 次
- "Knowledge Comes Through Participation": Understanding Disability through the Lens of DIY Assistive Technology in Western KenyaFoad Hamidi, Patrick Mbullo Owuor, Michaela Hynie, Melanie BaljkoCSCW 2022 · 被引用 29 次
相关 Paper
- Situating Automatic Speech Recognition Development within Communities of Under-heard Language SpeakersThomas Reitmaier, Electra Wallington, Ondrej Klejch, Nina Markl 等CHI 2023 · 被引用 9 次
- Co-designing Digital Tools to Enhance Speech and Language Therapy Training in GhanaLorraine Hudson, Clement Amponsah, Josephine Ohenewa Bampoe, Julie Marshall 等CHI 2020 · 被引用 21 次
- Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing PairsMatthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara 等CHI 2022 · 被引用 51 次
- ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing UsersDhruv Jain, Khoa Huynh Anh Nguyen, Steven M. Goodman, Rachel Grossman-Kahn 等CHI 2022 · 被引用 45 次
- "It's Kind of Like Code-Switching": Black Older Adults' Experiences with a Voice Assistant for Health Information SeekingChristina N. Harrington, Radhika Garg, Amanda T. Woodward, Dimitri WilliamsCHI 2022 · 被引用 99 次
