Paralinguistic comprehension and production of emotions in communication include the skills of recognizing and interpreting emotional states with the help of facial expressions, prosody and intonation. In the relevant scientific literature, the skills of paralinguistic comprehension and production of emotions in communication are related primarily to receptive language abilities, although some authors found also their correlations with intellectual abilities and acoustic features of the voice. Therefore, the aim of this study was to investigate which of the mentioned variables (receptive language ability, acoustic features of voice, intellectual ability, social-demographic), presents the most relevant predictor of paralinguistic comprehension and paralinguistic production of emotions in communication in adults with moderate intellectual disabilities (MID). The sample included 41 adults with MID, 20-49 years of age ( = 34.34, SD = 7.809), 29 of whom had MID of unknown etiology, while 12 had Down syndrome. All participants are native speakers of Serbian. Two subscales from The Assessment Battery for Communication - Paralinguistic comprehension of emotions in communication and Paralinguistic production of emotions in communication, were used to assess the examinees from the aspect of paralinguistic comprehension and production skills. For the graduation of examinees from the aspect of assumed predictor variables, the following instruments were used: Peabody Picture Vocabulary Test was used to assess receptive language abilities, Computerized Speech Lab ("Kay Elemetrics" Corp., model 4300) was used to assess acoustic features of voice, and Raven's Progressive Matrices were used to assess intellectual ability. Hierarchical regression analysis was applied to investigate to which extent the proposed variables present an actual predictor variables for paralinguistic comprehension and production of emotions in communication as dependent variables. The results of this analysis showed that only receptive language skills had statistically significant predictive value for paralinguistic comprehension of emotions (β = 0.468, = 2.236, < 0.05), while the factor related to voice frequency and interruptions, form the domain of acoustic voice characteristics, displays predictive value for paralinguistic production of emotions (β = 0.280, = 2.076, < 0.05). Consequently, this study, in the adult population with MID, evidenced a greater importance of voice and language in relation to intellectual abilities in understanding and producing emotions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308010 | PMC |
http://dx.doi.org/10.3389/fpsyg.2022.884242 | DOI Listing |
Eur J Pediatr
December 2024
Università Cattolica del Sacro Cuore, Rome, 00168, Italy.
Orphanet J Rare Dis
March 2024
Faculty of Psychology, University Complutense of Madrid, Campus de Somosaguas, 28223, Pozuelo de Alarcón, Spain.
Background: One of the most challenging linguistic areas in people with Williams Syndrome throughout their evolutionary stage is the development of pragmatic skills. The research conducted so far highlights specific problems concerning adaptation to the linguistic context and interlocutors, language comprehension, as well as other aspects interfering with verbal communication. However, until now, most scientific evidence has been based on personal assessments of this group.
View Article and Find Full Text PDFJ Psycholinguist Res
February 2024
Laboratory of Language and Cognition, Department of Humanities, University of Genoa, Via Balbi 2, 16126, Genoa, Italy.
Research investigating pragmatic abilities in healthy aging suggests that both production and comprehension might be compromised; however, it is not clear how pragmatic abilities evolve in late adulthood, as well as when difficulties are more likely to arise. The aim of this study is to investigate the decline of pragmatic skills in aging, and to explore what cognitive and demographic factors support pragmatic competence. We assessed pragmatic production skills, including discourse abilities such as speech, informativeness, information flow, paralinguistic aspects, as well as the ability to produce informative descriptions of pictures, and pragmatic comprehension skills, which encompassed the ability to understand discourse and the main aspects of a narrative text, to infer non-literal meanings and to comprehend verbal humor in a group of elderly individuals and in a sample of younger participants.
View Article and Find Full Text PDFAlzheimers Res Ther
February 2024
Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Background: Advancement in screening tools accessible to the general population for the early detection of Alzheimer's disease (AD) and prediction of its progression is essential for achieving timely therapeutic interventions and conducting decentralized clinical trials. This study delves into the application of Machine Learning (ML) techniques by leveraging paralinguistic features extracted directly from a brief spontaneous speech (SS) protocol. We aimed to explore the capability of ML techniques to discriminate between different degrees of cognitive impairment based on SS.
View Article and Find Full Text PDFStud Health Technol Inform
August 2023
Yunjia Li, Habitat Learn, UK.
Recent studies into the evaluation of automatic speech recognition for its quality of output in the form of text have shown that using word error rate to see how many mistakes exist in English does not necessarily help the developer of automatic transcriptions or captions. Confidence levels as to the type of errors being made remain low because mistranslations from speech to text are not always captured with a note that details the reason for the error. There have been situations in higher education where students requiring captions and transcriptions have found that some academic lecture results are littered with word errors which means that comprehension levels drop and those with cognitive, physical and sensory disabilities are particularly affected.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!