scholarly journals Localizing sensory processing sensitivity and its subdomains within its relevant trait space: a data-driven approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Taraneh Attary ◽  
Ali Ghazizadeh
Keyword(s):  
Big Five ◽  
Sensory Processing ◽  
Data Driven ◽  
Anxiety And Depression ◽  
Sensory Threshold ◽  
Highly Sensitive ◽  
Data Driven Approach ◽  
Sensory Processing Sensitivity ◽  
Using Data ◽  
Positive Traits

AbstractSensitivity arising from enhanced processing of external and internal stimuli or sensory processing sensitivity (SPS) is known to be present in a sizable portion of the population. Yet a clear localization of SPS and its subdomains with respect to other relevant traits is currently lacking. Here, we used a data-driven approach including hierarchical clustering, t-distributed stochastic neighbor embedding (t-SNE) and graph learning to portrait SPS as measured by Highly Sensitive Person Scale (HSPS) in relation to the Big-Five Inventory (neuroticism, extraversion, openness, agreeableness, and conscientiousness) as well as to shyness, alexithymia, autism quotient, anxiety, and depression (11 total traits) using data from more than 800 participants. Analysis revealed SPS subdomains to be divided between two trait clusters with questions related to aesthetic sensitivity (AES) falling within a cluster of mainly positive traits and neighbored by openness while questions addressing ease of excitation (EOE) and low sensory threshold (LST) to be mostly contained within a cluster of negative traits and neighbored by neuroticism. A similar spread across clusters was seen for questions addressing autism consistent with it being a spectrum disorder, in contrast, alexithymia subdomains were closely fit within the negative cluster. Together, our results support the view of SPS as a distinct yet non-unitary trait and provide insights for further refinements of the current SPS concept and scales.

The Associations Between Sensory Processing Sensitivity and the Big Five Personality Traits in a Japanese Sample

2020 ◽  
pp. 1-7
Author(s):  
Kosuke Yano ◽  
Takayoshi Kase ◽  
Kazuo Oishi
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Sensory Processing ◽  
Emotional Reactivity ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Sensory Threshold ◽  
Bivariate Correlation ◽  
Japanese Sample ◽  
Sensory Processing Sensitivity

Abstract. Sensory processing sensitivity (SPS) is a temperament trait characterized by deeper processing of sensory information, being easily overstimulated, stronger emotional reactivity, and more awareness of subtle stimuli. Many studies on Western samples have associated SPS and/or its three components (i.e., low sensory threshold [LST], ease of excitation [EOE], and aesthetic sensitivity [AES]) with the Big Five personality traits, but cultural factors may influence these relationships. This study surveyed a Japanese sample ( N = 1,626) to investigate the associations. Bivariate correlation analyses found that AES had a negatively weak correlation with neuroticism, while it was positively correlated with openness (strongly), extraversion, agreeableness (moderately), and conscientiousness (weakly). LST and EOE had strong positive correlations with neuroticism and moderate negative or weak correlations with the other four traits. The canonical correlation analysis revealed commonality between the constructs of about 55%. While some results were consistent with those of the former studies, others were not. The results contrary to studies on Western samples might be explained by the differences between collectivist and individualist cultures, biological differences, and/or measurement weaknesses.

Sensory processing sensitivity and its relation to parental bonding, anxiety, and depression

2005 ◽  
Vol 39 (8) ◽  
pp. 1429-1439 ◽  
Author(s):  
Miriam Liss ◽  
Laura Timmel ◽  
Kelin Baxley ◽  
Patrick Killingsworth
Keyword(s):  
Sensory Processing ◽  
Parental Bonding ◽  
Anxiety And Depression ◽  
Sensory Processing Sensitivity

Modeling the Gas Exchange Processes of a Modern Diesel Engine With an Integrated Physics-Based and Data-Driven Approach

2019 ◽  
Author(s):  
Jorge Pulpeiro Gonzalez ◽  
King Ankobea-Ansah ◽  
Elena Escuder Milian ◽  
Carrie M. Hall
Keyword(s):  
Diesel Engine ◽  
Gas Exchange ◽  
High Efficiency ◽  
Direct Injection ◽  
Data Driven ◽  
Model Framework ◽  
Variable Valve Actuation ◽  
Exchange Processes ◽  
Data Driven Approach ◽  
Using Data

Abstract The gas exchange processes of engines are becoming increasingly complex since modern engines leverage technologies including variable valve actuation, turbochargers, and exhaust gas recirculation. Control of these many devices and the underlying gas flows is essential for high efficiency engine concepts. If these processes are to be controlled and estimated using model-based techniques, accurate models are required. This work explores a model framework that leverages a data-driven model of the turbocharger along with submodels of the intercooler, intake and exhaust manifolds and engine processes to provide cylinder-specific predictions of the pressure and temperatures of the gases across the system. This model is developed and validated using data from a 2.0 liter VW turbocharged, direct-injection diesel engine and shown to provide accurate prediction of critical gas properties.

Using data-driven approach for wind power prediction: A comparative study

2016 ◽  
Vol 118 ◽  
pp. 193-203 ◽  
Author(s):  
Ehsan Taslimi Renani ◽  
Mohamad Fathi Mohamad Elias ◽  
Nasrudin Abd. Rahim
Keyword(s):  
Comparative Study ◽  
Wind Power ◽  
Data Driven ◽  
Power Prediction ◽  
Wind Power Prediction ◽  
Data Driven Approach ◽  
Using Data

scholarly journals Relationship Between the Temperament Trait of Sensory Processing Sensitivity and Emotional Reactivity

2016 ◽  
Vol 44 (2) ◽  
pp. 185-199 ◽  
Author(s):  
Jadzia Jagiellowicz ◽  
Arthur Aron ◽  
Elaine N. Aron
Keyword(s):  
Sensory Processing ◽  
Emotional Reactivity ◽  
Emotional Stimuli ◽  
High Quality ◽  
Highly Sensitive ◽  
Sensory Processing Sensitivity ◽  
Quality Of Parenting ◽  
First Time ◽  
Temperament Trait

Sensory processing sensitivity (SPS) is a temperament trait found in around 20% of humans, which has been found to enhance responsiveness to diverse stimuli. In this study, we investigated for the first time the extent to which SPS, and its interaction with quality of parenting, predicts positive and negative experiences in response to emotional stimuli. Participants (N = 96) from the upper and lower quartiles on the standard SPS measure (the Highly Sensitive Person Scale) rated the valence and their arousal level when viewing emotionally evocative and neutral pictures selected from the International Affective Picture System. High (vs. low) SPS individuals rated pictures eliciting emotion, and especially positive ones, as significantly more valenced, and tended to respond faster to the positive pictures; also, high, vs. low, SPS individuals who had reported having high-quality parenting reported greater arousal in response to positive pictures. Overall, results suggest that high SPS individuals respond more strongly to emotional stimuli—especially positive—without being more aroused unless they had especially high-quality parenting.

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