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Effects of Low-Level Visual Attributes on Threat Detection: Testing the Snake Detection Theory (저수준 시각적 특질이 위협 탐지에 미치는 효과: 뱀 탐지 이론의 검증)

  • Kim, Taehoon;Kwon, Dasom;Yi, Do-Joon
    • Science of Emotion and Sensibility
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    • v.23 no.3
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    • pp.47-62
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    • 2020
  • The snake detection theory posits that, due to competition with snakes, the primate visual system has been evolved to detect camouflaged snakes. Specifically, one of its hypotheses states that the subcortical visual pathway mainly consisting of koniocellular cells enables humans to automatically detect the threat of snakes without consuming mental resources. Here we tested the hypothesis by comparing human participants' responses to snakes with those to fearful faces and flowers. Participants viewed either original images or converted ones, which lacked the differences in color, luminance, contrast, and spatial frequency energies between categories. While participants in Experiment 1 produced valence and arousal ratings to each image, those in Experiment 2 detected target images in the breaking continuous flash suppression (bCFS) paradigm. As a result, visual factors influenced the responses to snakes most strongly. After minimizing visual differences, snakes were rated as being less negative and less arousing, and detected more slowly from suppression. In contrast, the images of the other categories were less affected by image conversion. In particular, fearful faces were rated as greater threats and detected more quickly than other categories. In addition, for snakes, changes in arousal ratings and those in bCFS response times were negatively correlated: Those snake images, the arousal ratings of which decreased, produced increased detection latency. These findings suggest that the influence of snakes on human responses to threat is limited relative to fearful faces, and that detection responses in bCFS share common processing mechanisms with conscious ratings. In conclusion, the current study calls into question the assumption that snake detection in humans is a product of unconscious subcortical visual processing.

The Effect of the Verbal Emotional Context on the Serial Position Effect (음성으로 제시되는 감정 맥락이 서열 위치 효과에 미치는 영향)

  • Jinsun Suhr;Eunmi Oh;Kwanghee Han
    • Science of Emotion and Sensibility
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    • v.27 no.2
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    • pp.3-14
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    • 2024
  • An understanding of the influence of emotional context on memory retrieval is crucial to our comprehensive understanding of human cognition. While previous research focused primarily on visual stimuli to address this relationship, this study ventures into the realm of speech-based emotional contexts. Building on previous findings, we examine the effects of arousal and the valence of verbal contexts on memory, with particular focus on mitigating the serial position effect. In Study 1, we investigated how the arousal level of verbal context in the middle of a word list affects memory retention. Our results demonstrated detriment to the memory of later parts of the word list when exposed to low-arousal contexts. In Study 2, we controlled for arousal levels and examined the impact of valence on memory. We found that negative verbal contexts impair the memory of the word when presented together. Our findings suggest that speech-based emotional contexts do not facilitate verbal memory processing. In particular, negative emotional contexts were found to reinforce the serial position effect. Negative emotional contexts tend to disrupt task performance and fail to elicit memory-enhancing effects, especially when both the context and memory stimulus are verbal. These insights offer a valuable contribution to our understanding of the nuances of auditorily delivered emotional context in verbal memory processes.

Anesthetic Effects of the Xylazine-Tiletamine/Zolazepam(Zoletil$\circledR$) Combination in Dogs (Xylazine과 Tiletamine/Zolazepam(Zoletil$\circledR$)의 투여 농도 변화가 개의 마취에 미치는 영향)

  • 김준일;장환수;장광호
    • Journal of Veterinary Clinics
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    • v.21 no.2
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    • pp.168-171
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    • 2004
  • The effects of alterations of dose of xylaznie (X) and Zoltil$\circledR$ (TZ) on canine anesthesia were examined. Experimental groups were divided into three (Group 1: X 1.1 mg/kg and TZ 10 mg/kg, Group 2: X 1.65 mg/kg and TZ 7.5 mg/kg, Group 3: X 2.2 mg/kg and TZ 5 mg/kg), and each had 5 dogs. A femoral artery was catheterized for measurement of blood pressure, and baseline value was measured. The dogs were sedated with xylazine intramuscularly, then after 10 minutes TZ were injected intravenously. Mean arterial blood pressures (MAP), duration of analgesia, mean arousal time (MAT) and mean walking time (MWT) after TZ injection were measured, and the depth of analgesia and the quality of recovery were scored. The values of MAP were recorded from the time of pre-xylazine injection to arousal. Duration of analgesia and was assessed by tail clamping test, and which were done at 10 minutes intervals after TZ injection. The decreases of MAP from 40 minutes after TZ injection were significant (p<0.05). In group 2, MAP at 20 minutes, and from 40 minutes to arousal were significantly decreased (p<0.05). In group 3, MAP were significantly decreased from 40 minutes. MAT were 62.2$\pm$9.2 minutes in group 1, 60.2$\pm$7.5 minutes in group 2, and 71.0$\pm$6.9 minutes in group 3. MAT in group 3 was significantly increased compared with group 2 (p<0.05), and the differences of MWT among each groups were not significant (p>0.05). The scores of quality of recovery were significantly lowered in group 3 compared with group 1 or group 2, which means the side effects of recovery were less occurred. Thus, it was considered that the combination X 2.2 mg/kg IM and TZ 5 mg/kg IV is more effective to surgical procedures and to prevent long and rough recovery of Zoletil anesthesia.

The Causes and Developmental Mechanism of Insomnia (불면증의 원인과 발생기전)

  • Lee, Sung-Hoon
    • Sleep Medicine and Psychophysiology
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    • v.1 no.1
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    • pp.3-8
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    • 1994
  • With the recent development of sleep medicine, insomnia has been perceived as a disease from a simple symptom. As there are various causes in a disease, proper treatment according to each cause is necessary for a more effective treatment In general, insomnia is classified into five categrories of physical, physiological, psychological, psychiatric and pharmacological aspects. However, such categorizations are often insufficient in treating insomnia. Furthermore understanding of the developmental mechanisms of insomnia is required. The function of sleep is developed and maintained through the balance of the reciprocal forces of sleep and arousal. These forces are contantly regulated by what is called a circadian rhythm. Sleep is induced by this rhythm which is affected by factors such as awakening time in the morning, amount of intellectual function, amount and time length of physical exercise and sunlight Insomnia could develop when this rhythm is delayed and leads to a "forbidden zone" which is a very difficult period for inducing sleep about two to four hours before the routine bedtime. Whereas sleep gradually develops in line with the circardian rhythm, arousal can occur very abruptly by any cause triggered by emotional discomfort or anxiety. Such characteristic and emotional factors as perfectionism, separation anxiety, secondary gain, insecurity, and negative cognition may provoke the inner anxiety and fear for insomnia, which can lead acute insomnia to a chronic one. As chronic insomnia is developed by multiple causes and factors, integrated approaches through analysis of above mentioned factors will be more effective in the treatment of insomnia than a simple administration of hypnotics.

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The Effect of Service Quality of Convenience Stores on Customer Loyalty Through the Emotional Response of Customers - Focusing on GS Convenience Stores-

  • Yeong-Ae, Ku
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.1
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    • pp.40-55
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    • 2023
  • Currently, convenience stores, which are naturally located within a 1-minute walk, are easily accessible, so customers can easily purchase the items they need, and now they are indispensable places for people. In line with modern society that focuses on buying and selling goods quickly and easily, such as 'convenience' and 'quickness', convenience stores also have been changing by marketing such as home-delivery service and storage of fresh products, not just simply selling goods. In addition, by utilizing application software, we can use everything with one smartphone that we use a lot, in order to provide reservation delivery, pickup, and subscription services. In this study, we conducted experiments focusing on the factors of convenience store service quality and users using convenience stores, and examined how these experiments affect behavioral intentions of customers through their emotional responses. As a result, it was confirmed that empathy had a positive (+) effect on the pleasure of customers, and reliability had a negative (-) effect on arousal. In addition, it was found that empathy had a positive (+) effect on arousal, and responsiveness and empathy had a positive (+) effect on dominance. Finally, it was found that pleasure and dominance had a positive (+) effect on the loyalty of customers. In this study, we intend to provide basic data on existing or future convenience stores.

A Study on the Emotional Evaluation Model of LED Colors in Architectural Pacade (건축파사드 LED칼라의 감성평가모형 연구)

  • Yoo, Yong-Woo
    • Korean Institute of Interior Design Journal
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    • v.21 no.2
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    • pp.101-111
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    • 2012
  • The purpose of this study is to draw emotional evaluation model related to LED lighting colors and suggest basic informations that enable planned directions of architectural pacade lighting to simulate beforehand in a laboratory. As experimental methods, extracted PAD emotional evaluation model and then directed a experimental model of 10 LED lighting colors, studied and analyzed survey questions. The results are as follows; First, in the case of P(Pleasure-Unpleasure), Red, Yellow, Green, Cyan, Magenta, White and Combination of $G{\leftrightarrow}B$ Colors are satisfying, vibrant and positive distribution chart has shown. Second, in the case of A(Arousal-Unarousal), Red, Yellow, Green, Cyan, Blue, White and Combinations of $R{\leftrightarrow}G$, $G{\leftrightarrow}B$, $R{\leftrightarrow}B$ Colors, it makes a little difference, they have shown useful distribution chart to induce sight in a aroused state. Third, in the case of D(Dominance-Submissiveness), Red, Cyan, Green and Combinations of $G{\leftrightarrow}B$ Colors are free, controlling and extent of effect was excellent. On the contrary, in the case of Yellow and Magenta and Combinations of $R{\leftrightarrow}B$, they are gentle and arouse the protective instinct or feminine distribution chart has shown. Fourth, it showed difference of preference that difference of select ratios of both men and women in Orange, Blue, Greenish-Yellow (preference of man) and Magenta, Combinations of $R{\leftrightarrow}B$ Colors(preference of woman).

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Convergence Implementing Emotion Prediction Neural Network Based on Heart Rate Variability (HRV) (심박변이도를 이용한 인공신경망 기반 감정예측 모형에 관한 융복합 연구)

  • Park, Sung Soo;Lee, Kun Chang
    • Journal of the Korea Convergence Society
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    • v.9 no.5
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    • pp.33-41
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    • 2018
  • The purpose of this study is to develop more accurate and robust emotion prediction neural network (EPNN) model by combining heart rate variability (HRV) and neural network. For the sake of improving the prediction performance more reliably, the proposed EPNN model is based on various types of activation functions like hyperbolic tangent, linear, and Gaussian functions, all of which are embedded in hidden nodes to improve its performance. In order to verify the validity of the proposed EPNN model, a number of HRV metrics were calculated from 20 valid and qualified participants whose emotions were induced by using money game. To add more rigor to the experiment, the participants' valence and arousal were checked and used as output node of the EPNN. The experiment results reveal that the F-Measure for Valence and Arousal is 80% and 95%, respectively, proving that the EPNN yields very robust and well-balanced performance. The EPNN performance was compared with competing models like neural network, logistic regression, support vector machine, and random forest. The EPNN was more accurate and reliable than those of the competing models. The results of this study can be effectively applied to many types of wearable computing devices when ubiquitous digital health environment becomes feasible and permeating into our everyday lives.

Variation of heart rate during listening to music (음악 청취 시 정서적 특성에 따른 심박수 변화)

  • Jiyun Han;Soojin Kang;Junghwan Moon;Kyung Myun Lee;Jihwan Woo
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.5
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    • pp.536-546
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    • 2024
  • Music has a close connection with human emotions, and this relationship has been explored in various fields. Recently, research has been attempted to quantify these subjective emotions based on biosignals such as brain signals. However, emotional changes when listening to music, as measured by heart rate, which can be easily measured in daily life, are not sufficiently known. In this study, we investigated how changing emotions are expressed through variations in heart rate during music listening. The electrocardiogram (ECG) was measured while participants listened to music, and the emotional characteristics of preference, familiarity, arousal, and valence after listening were evaluated using Likert scale scores to analyze the correlation between changes in heart rate and emotional characteristics. The study confirmed that smaller changes in heart rate were associated with lower preference, higher arousal, and more negative emotional valence, while larger heart rate differences were associated with higher preference, lower arousal, and more positive emotional valence. This study demonstrates that heart rate can be used to objectively predict emotional changes due to music listening, and it is expected to have applications in various music-related industries in the future.

Biobehavioral Health Research: A nursing study of women with and without fibromyalgia

  • Landis, Carol A.;Lentz, Martha J.
    • Perspectives in Nursing Science
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    • v.2 no.1
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    • pp.37-47
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    • 2005
  • Biobehavioral nursing research is focused on generating knowledge that examines relations among biological, behavioral, and social dimensions of health to improve outcomes. In this paper we review the findings of a biobehavioral nursing study of individuals with fibromyalgia (FM) that was framed from the perspective of an individual human response model, the FM literature, and our previous studies in midlife women. We were particularly interested in the studying the role of 'arousal' secondary to pain or to dysregulated hypothalamic-pituitary-adrenal (HPA) axis hormones during sleep and the impact on symptom expression. Unexpectedly, we did not find evidence of, arousal' or abnormal amounts of HPA axis hormones but we did find reduced amounts of growth hormone (GH) and prolactin (PRL) and of sleep spindle activity, a biomarker of sleep maintenance. We discuss these new findings and how our thinking was re-shaped to better understand the role that disturbed sleep plays in symptom expression in FM. It is argued that disturbed sleep maintenance mechanisms coupled with dysregulated somatotrophic-growth hormone axis and sleep-related PRL render individuals vulnerable to the development of or exacerbations of FM symptoms.

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GA-optimized Support Vector Regression for an Improved Emotional State Estimation Model

  • Ahn, Hyunchul;Kim, Seongjin;Kim, Jae Kyeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.6
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    • pp.2056-2069
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    • 2014
  • In order to implement interactive and personalized Web services properly, it is necessary to understand the tangible and intangible responses of the users and to recognize their emotional states. Recently, some studies have attempted to build emotional state estimation models based on facial expressions. Most of these studies have applied multiple regression analysis (MRA), artificial neural network (ANN), and support vector regression (SVR) as the prediction algorithm, but the prediction accuracies have been relatively low. In order to improve the prediction performance of the emotion prediction model, we propose a novel SVR model that is optimized using a genetic algorithm (GA). Our proposed algorithm-GASVR-is designed to optimize the kernel parameters and the feature subsets of SVRs in order to predict the levels of two aspects-valence and arousal-of the emotions of the users. In order to validate the usefulness of GASVR, we collected a real-world data set of facial responses and emotional states via a survey. We applied GASVR and other algorithms including MRA, ANN, and conventional SVR to the data set. Finally, we found that GASVR outperformed all of the comparative algorithms in the prediction of the valence and arousal levels.