Time perception plays a fundamental role in people's daily life activities, and it is modulated by changes in environmental contexts. Recent studies have observed that attractive faces generally result in temporal dilation and have proposed increased arousal to account for such dilation. However, there is no direct empirical result to evidence such an account. The aim of the current study, therefore, was to clarify the relationship between arousal and the temporal dilation effect of facial attractiveness by introducing a rating of arousal to test the effect of arousal on temporal dilation (Experiment 1) and by regulating arousal automatic expression suppression to explore the association between arousal and temporal dilation (Experiment 2). As a result, Experiment 1 found that increased arousal mediated the temporal dilation effect of attractive faces; Experiment 2 showed that the downregulation of arousal attenuated the temporal dilation of attractive faces. These results highlighted the role of increased arousal, which is a dominating mechanism of the temporal dilation effect of attractive faces.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703070PMC
http://dx.doi.org/10.3389/fpsyg.2021.784099DOI Listing

Publication Analysis

Top Keywords

temporal dilation
32
attractive faces
20
increased arousal
16
arousal temporal
16
dilation attractive
16
arousal
10
dilation
9
facial attractiveness
8
time perception
8
temporal
8

Similar Publications

Aims And Objectives: This study aimed to investigate the presence, type, and severity of hearing losses in individuals with Duane Retraction Syndrome (DRS), and to ascertain if there are anomalies in the auditory pathways at the brainstem level in DRS, believed to arise from aberrant interaction between cranial nerves and brainstem nuclei.

Study Design: Cross-sectional observational study.

Setting: Tertiary referral centre.

View Article and Find Full Text PDF

The Development of an Electron Pulse Dilation Photomultiplier Tube Diagnostic Instrument.

Sensors (Basel)

November 2024

College Department of Electronic and Information Engineering, Hengshui University, Hengshui 053000, China.

A new pulse-dilated photomultiplier tube (PD-PMT) with sub-20 ps temporal resolution and associated drivers have been developed for use detection and signal amplification in the inertial confinement fusion (ICF) community. The PD-PMT is coupled to a transmission line output in order to provide a continuous time history of the input signal. Electron pulse dilation provides high-speed detection capabilities by converting incoming signals into a free-electron cloud and manipulating the electron signal with electric and magnetic fields.

View Article and Find Full Text PDF

Background And Objective: Obstructive Sleep Apnea (OSA) is among the most sleep-related breathing disorders, capable of causing severe neurological and cardiovascular complications if left untreated. The conventional diagnosis of OSA relies on polysomnography, which involves multiple electrodes and expert supervision. A promising alternative is single-channel Electrocardiogram (ECG) based diagnosis due to its simplicity and relevance.

View Article and Find Full Text PDF

Human poses recognition based on Spiking Pulse Graph Neural Networks.

PeerJ Comput Sci

October 2024

Software College, Henan University, Kaifeng, Henan, China.

The temporal dilated convolutional model usually requires a large amount of computing resources in the human pose recognition task, especially when the input image information is too complex, which will lead to the shortcomings of low accuracy and large model energy consumption. Addressing these issues, we designed a new human poses recognition Spiking Pulse Graph Neural Networks model. In this model, we increase the receptive field of the model by changing the expansion coefficient and activation function of the convolution in the model receptive field processing module, so as to make the extracted features more accurate.

View Article and Find Full Text PDF

Beyond homophily in spatial-temporal traffic flow forecasting.

Neural Netw

November 2024

School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China. Electronic address:

Traffic flow forecasting is a crucial yet complex task due to the intricate spatial-temporal correlations arising from road interactions. Recent methods model these interactions using message-passing Graph Convolution Networks (GCNs), which work for homophily graphs where connected nodes primarily exhibit close observations. However, relying solely on homophily graphs presents inherent limitations in traffic modeling, as road interactions can yield not only close but also distant observations over time, revealing diverse and dynamic node-wise correlations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!