In this research, we investigated the effects of voice and face information on the perceptual learning of talkers and on long-term memory for spoken words. In the first phase, listeners were trained over several days to identify voices from words presented auditorily or audiovisually. The training data showed that visual information about speakers enhanced voice learning, revealing cross-modal connections in talker processing akin to those observed in speech processing. In the second phase, the listeners completed an auditory or audiovisual word recognition memory test in which equal numbers of words were spoken by familiar and unfamiliar talkers. The data showed that words presented by familiar talkers were more likely to be retrieved from episodic memory, regardless of modality. Together, these findings provide new information about the representational code underlying familiar talker recognition and the role of stimulus familiarity in episodic word recognition.
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Data Brief
February 2025
Department of Information & Communication Technology, University of Agder (UiA), Norway.
Hindko is a language primarily spoken in Northwestern areas of Pakistan. Approximately eight million people speak the Hindko language. According to its native speakers, it is 7 largest language of Pakistan and 2 largest language of Khyber Pakhtunkhwa.
View Article and Find Full Text PDFZ Kinder Jugendpsychiatr Psychother
January 2025
Lehrstuhl für Medieninformatik | Entertainment Computing Group, Universität Duisburg-Essen, Deutschland.
Employing Emotional Virtual Characters for Teaching in Child and Adolescent Psychiatry Communication and interaction are central to teaching child and adolescent psychiatry, with practical exercises often needing more access to actual patients or actors. Virtual reality (VR) offers an innovative solution by enabling simulation-based learning. With the help of computer-generated, interactive characters, students can practice repeatedly and in a standardized way how to conduct a medical interview and acquire communication skills.
View Article and Find Full Text PDFBMC Med Educ
January 2025
College of Nursing - Jeddah, King Saud Bin Abdul-Aziz University for Health Sciences, P.O.Box.9515, Jeddah, 21423, Saudi Arabia.
Background: Academic accreditation is a pivotal process in nursing education, ensuring program quality, consistency, and graduate readiness for professional practice. Despite its significance, limited research explores the lived experiences and perspectives of stakeholders, including academic nurse educators, administrators, students, and alumni-engaged in accreditation.
Purpose: This study aimed to explore the lived experiences, perceptions, and insights of nursing education stakeholders regarding the accreditation process, focusing on its impact on educational quality, program reputation, and professional preparation.
Ann Fam Med
January 2025
Departments of Psychiatry and Emergency Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Purpose: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyze voice biomarkers consistent with moderate to severe depression, potentially allowing for greater compliance with this critical primary care public health need.
View Article and Find Full Text PDFJMIR AI
January 2025
Faculty of Social Science, Ruhr University Bochum, Bochum, Germany.
Background: Conversational agents (CAs) are finding increasing application in health and social care, not least due to their growing use in the home. Recent developments in artificial intelligence, machine learning, and natural language processing have enabled a variety of new uses for CAs. One type of CA that has received increasing attention recently is smart speakers.
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