This study examined the subjective benefit obtained from automatically generated captions during telephone-speech comprehension in the presence of babble noise. Short stories were presented by telephone either with or without captions that were generated offline by an automatic speech recognition (ASR) system. To simulate online ASR, the word accuracy (WA) level of the captions was 60% or 70% and the text was presented delayed to the speech. After each test, the hearing impaired participants (n = 20) completed the NASA-Task Load Index and several rating scales evaluating the support from the captions. Participants indicated that using the erroneous text in speech comprehension was difficult and the reported task load did not differ between the audio + text and audio-only conditions. In a follow-up experiment (n = 10), the perceived benefit of presenting captions increased with an increase of WA levels to 80% and 90%, and elimination of the text delay. However, in general, the task load did not decrease when captions were presented. These results suggest that the extra effort required to process the text could have been compensated for by less effort required to comprehend the speech. Future research should aim at reducing the complexity of the task to increase the willingness of hearing impaired persons to use an assistive communication system automatically providing captions. The current results underline the need for obtaining both objective and subjective measures of benefit when evaluating assistive communication systems.
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http://dx.doi.org/10.1177/1084713808330207 | DOI Listing |
J Occup Rehabil
January 2025
Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Purpose: This qualitative study investigated the needs, barriers, and facilitators that affect primary care providers' involvement in supporting patients' stay-at-work and return-to-work following injury or illness. It also aims to understand the lived experiences of primary care providers who participated in the Extension for Community Healthcare Outcomes training program for Occupational and Environmental Medicine (ECHO OEM). By examining both the structural and experiential aspects of the program, this study seeks to provide insights into how ECHO OEM influences providers' approaches to occupational health challenges.
View Article and Find Full Text PDFHealth Policy Plan
January 2025
Department of Anthropology, Durham University, South Road, Durham, DH1 3LE, UK.
Substandard and falsified (SF) medical products are a serious health and economic concern that disproportionately impact low- and middle-income countries and marginalized groups. Public education campaigns are demand-side interventions that may reduce risk of SF exposure, but the effectiveness of such campaigns, and their likelihood of benefitting everybody, is unclear. Nationwide pilot risk communication campaigns, involving multiple media, were deployed in Ghana, Nigeria, Sierra Leone, Uganda in 2020-2021.
View Article and Find Full Text PDFAdv Biol (Weinh)
January 2025
Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Synthetic cells offer a versatile platform for addressing biomedical and environmental challenges, due to their modular design and capability to mimic cellular processes such as biosensing, intercellular communication, and metabolism. Constructing synthetic cells capable of stimuli-responsive secretion is vital for applications in targeted drug delivery and biosensor development. Previous attempts at engineering secretion for synthetic cells have been confined to non-specific cargo release via membrane pores, limiting the spatiotemporal precision and specificity necessary for selective secretion.
View Article and Find Full Text PDFJ Commun Healthc
January 2025
Venditti Consulting, LLC, Westport, CT, United States.
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to improve decision-making and to empower patients with more control over their health. Current systems for navigating healthcare - such as finding providers or understanding costs - are fragmented and cumbersome, often leaving patients frustrated and uninformed. An AI Healthcare Assistant App, leveraging advances in health IT interoperability, price transparency, and user-centred design, could simplify these processes.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Background: Healthcare resources have been concentrated in urban areas, leaving rural regions vulnerable to poorer health outcomes. The Problem Solving for Better Health (PSBH) program was implemented to enhance healthcare systems in resource-limited regions by training personnel to maximize existing resources in problem-solving. This study evaluated the implementation effectiveness of PSBH-Nursing (PSBHN), a nationally led initiative to train nurses in PSBH in Lesotho.
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