Autistic people typically have difficulty recognizing other people's emotions and to process nonverbal cues in an automatic, intuitive fashion. This usually also applies to people who-regardless of an official diagnosis of autism-achieve high values in autism questionnaires. However, some autistic people do not seem to have any problems with emotion recognition. One explanation may be that these individuals are able to compensate for their lack of intuitive or automatic processing through a quick conscious and deliberate analysis of the emotional cues in faces, voices, and body movements. On these grounds, we assumed that the higher autistic people's ability to reason quickly (i.e. to make quick logical inferences), the fewer problems they should have with determining other people's emotions. In our study, we asked workers on the crowdsourcing marketplace MTurk to complete a questionnaire about their autistic traits, to perform emotion recognition tests, and to complete a test of the ability to reason under time constraints. In our sample of 217 people, we found the expected pattern. Overall, those who had higher values in the autism questionnaire scored lower in the emotion recognition tests. However, when reasoning ability was taken into account, a more nuanced picture emerged: participants with high values both on the autism questionnaire and on the reasoning test recognized emotions as well as individuals with low autistic traits. Our results suggest that fast analytic information processing may help autistic people to compensate problems in recognizing others' emotions.
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Sensors (Basel)
December 2024
School of AI Convergence, Sungshin Women's University, 34 da-gil 2, Bomun-ro, Seongbuk-gu, Seoul 02844, Republic of Korea.
This paper proposes a machine learning approach to detect threats using short-term PPG (photoplethysmogram) signals from a commercial smartwatch. In supervised learning, having accurately annotated training data is essential. However, a key challenge in the threat detection problem is the uncertainty regarding how accurately data labeled as 'threat' reflect actual threat responses since participants may react differently to the same experiments.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Computer Science, Tunghai University, Taichung 407224, Taiwan.
Background And Objective: Cardiovascular disease (CVD), one of the chronic non-communicable diseases (NCDs), is defined as a cardiac and vascular disorder that includes coronary heart disease, heart failure, peripheral arterial disease, cerebrovascular disease (stroke), congenital heart disease, rheumatic heart disease, and elevated blood pressure (hypertension). Having CVD increases the mortality rate. Emotional stress, an indirect indicator associated with CVD, can often manifest through facial expressions.
View Article and Find Full Text PDFJ Neurosci
January 2025
Department of Psychology, Chinese University of Hong Kong, Hong Kong SAR, China
The extraction and analysis of pitch underpin speech and music recognition, sound segregation, and other auditory tasks. Perceptually, pitch can be represented as a helix composed of two factors: height monotonically aligns with frequency, while chroma cyclically repeats at doubled frequencies. Although the early perceptual and neurophysiological mechanisms for extracting pitch from acoustic signals have been extensively investigated, the equally essential subsequent stages that bridge to high-level auditory cognition remain less well understood.
View Article and Find Full Text PDFeNeuro
January 2025
Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan
The relationships between facial expression and color affect human cognition functions such as perception and memory. However, whether these relationships influence selective attention and brain activity contributed to selective attention remains unclear. For example, reddish angry faces increase emotion intensity, but it is unclear whether brain activity and selective attention are similarly enhanced.
View Article and Find Full Text PDFInt J Legal Med
January 2025
Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, 550169, Romania.
The burnout phenomenon is a subject of considerable interest due to its impact on both employee well-being and scientific inquiry. Workplace factors, both intrinsic and extrinsic, play a pivotal role in its development, often leading to job dissatisfaction and heightened burnout risk. Chronic stress and burnout induce significant dysregulation in the autonomic nervous system and hormonal pathways, alongside structural brain changes.
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