Purpose: Our study addresses three main questions: (a) Do autistics and neurotypicals produce different patterns of disfluencies, depending on the experimenter's direct versus averted gaze? (b) Are these patterns correlated to gender, skin conductance responses, fixations on the experimenter's face, alexithymia, or social anxiety scores? Lastly, (c) can eye-tracking and electrodermal activity data be used in distinguishing listener- versus speaker-oriented disfluencies?
Method: Within a live face-to-face paradigm combining a wearable eye-tracker with electrodermal activity sensors, 80 adults (40 autistics, 40 neurotypicals) defined words in front of an experimenter who was either staring at their eyes (direct gaze condition) or looking elsewhere (averted gaze condition).
Results: Autistics produce less listener-oriented (, ) and more speaker-oriented (prolongations, breath) disfluencies than neurotypicals. In both groups, men produce less than women. Both autistics' and neurotypicals' speech are influenced by whether their interlocutor systematically looks at them in the eyes or not, but their reactions go in opposite directions. Disfluencies seem to primarily be linguistic phenomena as experienced stress, social attention, alexithymia, and social anxiety scores do not influence any of the reported results. Finally, eye-tracking and electrodermal activity data suggest that laughter could be a listener-oriented disfluency.
Conclusions: This article studies disfluencies in a fine-grained way in autistic and neurotypical adults while controlling for social attention, experienced stress, and experimental condition (direct vs. averted gaze). It adds to current literature by (a) enlightening our knowledge of speech in autism, (b) opening new perspectives on disfluency patterns as important signals in social interaction, (c) addressing theoretical issues on the dichotomy between listener- and speaker-oriented disfluencies, and (d) considering understudied phenomena as potential disfluencies (e.g., laughter, breath).
Supplemental Material: https://doi.org/10.23641/asha.23549550.
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http://dx.doi.org/10.1044/2023_JSLHR-23-00002 | DOI Listing |
Appl Psychophysiol Biofeedback
January 2025
Department of Biostatistics and Medical Informatics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.
Stress responses in real-world settings are less studied compared to controlled laboratory environments, limiting our understanding of their impact on cognitive performance. This study investigates the relationship between physiological stress signals and academic performance using an open-access dataset of 10 students assessed across three exam sessions (Midterm 1, Midterm 2, and Final Exam). Physiological measures, including electrodermal activity (EDA), heart rate (HR), and skin surface temperature (TEMP), along with exam grades, were analyzed using traditional hypothesis testing, bootstrap method, correlation analysis, and regression tree modeling.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
China Merchants Chongqing Communications Technology Research & Design Institute Co., Ltd, Chongqing, China.
Objective: This study aimed to analyze the influence of different tunnel reinforcement measures on drivers and to evaluate the associated driving safety risks.
Methods: Experimental data of driving behavior and physiological response were collected under different driving simulation scenarios, such as cover arch erection, corrugated steel, grouting, Steel strips, and fire; an evaluation index system was established based on electrocardiographic (ECG), electrodermal activity(EDA), standard deviation of speed (SDSP), Steering Entropy(SE), standard deviation of lateral position (SDLP) and other indices. The classical domain rank standard of each evaluation index was divided using K-Means algorithm, and a synthetic evaluation matter-element model was established to comprehensively evaluate and analyze the safety risks of each scenario.
Front Psychol
December 2024
Institute for Logic, Language and Computation, University of Amsterdam, Amsterdam, Netherlands.
The key function of storytelling is a meeting of hearts: a resonance in the recipient(s) of the story narrator's emotion toward the story events. This paper focuses on the role of gestures in engendering emotional resonance in conversational storytelling. The paper asks three questions: Does story narrators' gesture expressivity increase from story onset to climax offset (RQ #1)? Does gesture expressivity predict specific EDA responses in story participants (RQ #2)? How important is the contribution of gesture expressivity to emotional resonance compared to the contribution of other predictors of resonance (RQ #3)? 53 conversational stories were annotated for a large number of variables including Protagonist, Recency, Group composition, Group size, Sentiment, and co-occurrence with quotation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Faculty of Information Science and Technology, Beijing University of Technology, Beijing 100124, China.
With the increasing complexity of urban roads and rising traffic flow, traffic safety has become a critical societal concern. Current research primarily addresses drivers' attention, reaction speed, and perceptual abilities, but comprehensive assessments of cognitive abilities in complex traffic environments are lacking. This study, grounded in cognitive science and neuropsychology, identifies and quantitatively evaluates ten cognitive components related to driving decision-making, execution, and psychological states by analyzing video footage of drivers' actions.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nursing and Physiotherapy, Faculty of Medicine and Health Sciences, University of Alcalá, Alcalá de Henares, Spain.
Background: Motor imagery is the mental representation of a movement without physical execution. When motor imagery is performed to enhance motor learning and performance, participants must reach a temporal congruence between the imagined and actual movement execution. Identifying factors that can influence this capacity could enhance the effectiveness of motor imagery programs.
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