It is frequently assumed that deaf individuals have superior visual-spatial abilities relative to hearing peers and thus, in educational settings, they are often considered visual learners. There is some empirical evidence to support the former assumption, although it is inconsistent, and apparently none to support the latter. Three experiments examined visual-spatial and related cognitive abilities among deaf individuals who varied in their preferred language modality and use of cochlear implants (CIs) and hearing individuals who varied in their sign language skills. Sign language and spoken language assessments accompanied tasks involving visual-spatial processing, working memory, nonverbal logical reasoning, and executive function. Results were consistent with other recent studies indicating no generalized visual-spatial advantage for deaf individuals and suggested that their performance in that domain may be linked to the strength of their preferred language skills regardless of modality. Hearing individuals performed more strongly than deaf individuals on several visual-spatial and self-reported executive functioning measures, regardless of sign language skills or use of CIs. Findings are inconsistent with assumptions that deaf individuals are visual learners or are superior to hearing individuals across a broad range of visual-spatial tasks. Further, performance of deaf and hearing individuals on the same visual-spatial tasks was associated with differing cognitive abilities, suggesting that different cognitive processes may be involved in visual-spatial processing in these groups.
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http://dx.doi.org/10.1093/deafed/env025 | DOI Listing |
Clin Chem
January 2025
Department of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
J Acoust Soc Am
December 2024
Vanderbilt University, Nashville, Tennessee 37232, USA.
This study (1) characterized the effects of channel interaction using spectral blurring, (2) evaluated an image-guided electrode selection (IGES) method aiming to reduce channel interaction, and (3) investigated the impact of electrode placement factors on the change in performance by condition. Twelve adult MED-EL (Innsbruck, Austria) cochlear implant recipients participated. Performance was compared across six conditions: baseline (no blurring), all blurred, apical blurred, middle blurred, basal blurred, and IGES.
View Article and Find Full Text PDFPLoS One
December 2024
Faculty of Allied Medical Sciences, Department of Audiology and Speech Pathology, Al-Ahliyya Amman University, Amman, Jordan.
Objective: To assess the awareness about hearing loss and ear health among adults in Jordan.
Methods: A cross-sectional study was conducted where a questionnaire was filled from the month of November to the month of December of the year 2023, to assess the level of awareness about hearing loss and ear health. The participants included were Jordanian adults (age ≥ 18 years) residing in the North, Middle and South of Jordan.
Curr Diab Rep
December 2024
College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, UT, 84112, USA.
Purpose Of Review: Describe the connection between Deaf/hard of hearing (DHH) and diabetes, explain the bidirectional relationship of blind/low vision (BLV) and diabetes, characterize challenges DHH and BLV populations face when seeking healthcare regarding their diabetes management. Highlight the inaccessibility of diabetes technology in these populations. Provide best practices when communicating with DHH and BLV people in the clinical setting.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Biomedical Engineering, Faculty of Applied Science, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City, 700000, Vietnam.
This study addresses the growing importance of hand gesture recognition across diverse fields, such as industry, education, and healthcare, targeting the often-neglected needs of the deaf and dumb community. The primary objective is to improve communication between individuals, thereby enhancing the overall quality of life, particularly in the context of advanced healthcare. This paper presents a novel approach for real-time hand gesture recognition using bio-impedance techniques.
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