• Korean Journal of School Psychology
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• v.16 no.2
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• pp.207-230
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• 2019

This study examined the effect of Attention Feedback Awareness and Control Training(A-FACT) on attention bias and generalized anxiety symptoms in college students. A total of 31 college students with at least 10 points on the Generalized Anxiety Disorder 7-item (GAD-7) scale or at least 56 points on the Korean version of the Penn State Worry Questionnaire (K-PSWQ) with attention bias were randomly assigned to one of three groups: A-FACT( n = 11), Attention Bias Modification (ABM)(n = 10) and Active Placebo Control (APC)(n = 10). Participants in A-FACT group received real-time feedback on attention bias based on their Baseline Neutral Response time(BNR) during A-FACT using a dot probe task. Participants in the ABM group received standard ABM, and those in the APC performed a dot probe task that they were informed was a program to reduce attention bias, but feedback was not provided. A total of eight sessions was conducted twice a week over a 4-week period. After every two sessions, GAD-7, K-PSWQ and K-STAI were rated. The effect of attention bias modification training was rated by changes in the Attention Bias Score(ABS), and in GAD-7, K-PSWQ and K-STAI scores. The results of repeated measure ANOVA indicated that the A-FACT group showed a significant decrease in ABS as well as in GAD-7, K-PSWQ and K-STAI scores compared to the other groups. Current results suggest that self-regulatory control of attention, that is, recognition of bias through feedback in A-FACT, may be effective in alleviating attention bias and generalized anxiety symptoms by recognizing bias through feedback on bias in attention bias modification training.

• Anxiety and mood
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• v.12 no.1
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• pp.7-12
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• 2016

Objective : This study was conducted to evaluate the relationships between selective attention bias for fear stimuli and hallucination in patients with schizophrenia Method : A total of 66 patients with schizophrenia admitted to psychiatry clinics were included in the study. Selective attention bias was measured by the dot-probe task. Patient symptoms were measured using the Positive and Negative Symptom Scale, Psychotic Symptom Rating Scale (PSYRATS), Korean version of the Scale to Assess Unawareness of Mental Disorder, and Clinical Global Impression-Severity scale. Results : Selective attention bias was correlated with the hallucination subscale of PSYTATS (r=0.268, p=0.029). No correlation was found between selective attention bias and other clinical measures. There was no significant difference, but a statistical trend was found (p=0.092) in hallucination severities between the biased and non-biased groups. Conclusion : The results suggest that selective attention bias for fear stimuli is associated with auditory hallucination. This preliminary study suggests the possibility of correlation between auditory hallucination in the psychotic domain and anxiety of the affective component.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.3-20
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• 2020

The purpose of this study was to investigate the effect of aging on visuo-spatial attention allocation ability and emotional perception bias. We used the useful field of view (UFOV) task to measure the visuo-spatial attention allocation ability and the emotional perception task to measure positive and negative emotional perception bias. A total of 48 participants took part in this study with 23 participants in the senior group and 25 in the junior group. The senior group showed slower response time and lower accuracy than the junior group in the UFOV task, indicating that the senior group had lower visuo-spatial attention allocation ability than the junior group. In the emotional perception task, the senior group showed both positive and negative emotional perception bias more than the junior group. The correlation analysis showed that the negative emotional perception bias for accuracy in the emotional perception task showed a positive correlation with the response time to the stimuli presented in the visual angle 30° in the UFOV task (r=.289). In addition, positive emotional perception bias for the accuracy in the emotional perception task showed a positive correlation with the accuracy of the stimuli presented in the visual angles 10°, 20°, and 30° in the UFOV task (r=.305, r=.322, and r=.299, respectively). However, it showed a negative correlation with the response time of the stimuli presented in the same location in the UFOV task (r=-.345, r=-.295, r=-.308). These results suggest that aging is associated with a decrease in the visuo-spatial attention allocation ability and perceptual bias toward positive and negative emotions. In addition, the positive and negative emotional perception biases associated with aging are potentially related to the reduced visuo-spatial attention allocation ability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.641-649
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• 2020

This study was conducted to examine the effects of instruction (explicit, implicit) and stimulus presentation time (300 ms, 500 ms) in ABM training. According to the Social Avoidance and Distress Scale (SADS) and the attention bias score (ABS), 60 undergraduate students were selected. All participants' SADS scores were above 82 and their ABS score was greater than 0. The training group was explicit-300 ms training group (n=10), explicit-500 ms training group (n=10), implicit-300 ms training group (n=10) and implicit-500 ms training group (n=10). In the implicit instruction group, only information about procedure was included. In the explicit instruction group, additional information about training manipulation (the probe always presented at the location of the preceding neutral stimuli) was provided. The control group were placebo-300 ms control group(n=10) and placebo-500 ms control group(n=10). After 8 sessions of training, the effect was only found in instruction conditions. The explicit training group showed significantly decreased SADS after training. ABS changed significantly in all three conditions but the treatment effect was most effective in the explicit instruction condition. No significant effect was found in the stimulus presentation time. These results suggest that explicit instruction might promote the effect of ABM training compared to implicit instruction.

• Science of Emotion and Sensibility
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• v.27 no.2
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• pp.113-126
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• 2024

Individuals with social anxiety disorders tend to hold attentional bias toward threatening stimuli in social contexts regardless of task relevance. Although attentional bias is relatively consistent, findings on memory performance are mixed. This study examined attentional and memory biases toward threat stimuli in individuals with high levels of social anxiety. Participants included 19 individuals with high social anxiety (HSA) and another 20 individuals with low social anxiety (LSA). They performed a continuous attention task to measure attentional bias to threat. Afterward, they performed an unexpected memory task using distracting stimuli from the previous attention task to measure memory bias to task-irrelevant threatening stimuli. The results indicated that the HSA and LSA groups exhibited an initial attentional bias toward emotional faces. However, only the HSA group displayed prolonged attentional bias and demonstrated memory bias toward angry faces. Conversely, the LSA group exhibited attentional bias toward happy faces after 4 s. The findings imply that the absence of bias toward positive stimuli and the presence of bias toward negative stimuli may contribute to the maintenance and severity of social anxiety pathology.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.107-118
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• 2022

Human can rapidly detect and deal with dangerous elements in their environment, and they generally manifest as attentional bias toward threat. Past studies have reported that this attentional bias is affected by anxiety level. Other studies, however, have argued that children and adolescents show attentional bias to threatening stimuli, regardless of their anxiety levels. Few studies directly have compared the two age groups in terms of attentional bias to threat, and furthermore, most previous studies have focused on attentional capture and the early stages of attention, without investigating further attentional holding by the stimuli. In this study, we investigated both attentional bias patterns (attentional capture and holding) with respect to negative emotional stimulus in neurotypical adults and adolescents. The effects of anxiety level on attentional bias were also examined. The results obtained for adult participants showed that abrupt onset of a distractor delayed attentional capture to the target, regardless of distractor type (angry or neutral faces), while it had no effect on attention holding. In adolescents, on the other hand, only the angry face distractor resulted in longer reaction time for detecting a target. Regarding anxiety, state anxiety revealed a significant positive correlation with attentional capture to a face distractor in adult participants but not in adolescents. Overall, this is the first study to investigate developmental tendencies of attentional bias to negative facial emotion in both adults and adolescents, providing novel evidence on attentional bias to threats at different ages. Our results can be applied to understanding the attentional mechanisms in people with emotion-related developmental disorders, as well as typical development.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.290-298
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• 2016

Human cognition and decision-making related to information systems (IS) is a major area of interest in IS research. Among these areas, cognitive bias rooted in behavioral economics is gaining considerable attention from researchers. In the present study, we identify the role of cognitive biases and discuss how they shape the information security behavior. We also seek research opportunities to provide directions and implications for future research.

• Journal of Sensor Science and Technology
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• v.28 no.5
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• pp.329-333
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• 2019

Solution-processed oxide thin-film transistors (TFTs) have garnered great attention, owing to their many advantages, such as low-cost, large area available for fabrication, mechanical flexibility, and optical transparency. Negative bias stress (NBS)-induced instability of sol-gel IGZO TFTs is one of the biggest concerns arising in practical applications. Thus, understanding the bias stress effect on the electrical properties of sol-gel IGZO TFTs and proposing an effective recovery method for negative bias stressed TFTs is required. In this study, we investigated the variation of transfer characteristics and the corresponding electrical parameters of sol-gel IGZO TFTs caused by NBS and positive bias recovery (PBR). Furthermore, we proposed an effective PBR method for the recovery of negative bias stressed sol-gel IGZO TFTs. The threshold voltage and field-effect mobility were affected by NBS and PBR, while current on/off ratio and sub-threshold swing were not significantly affected. The transfer characteristic of negative bias stressed IGZO TFTs increased in the positive direction after applying PBR with a negative drain voltage, compared to PBR with a positive drain voltage or a drain voltage of 0 V. These results are expected to contribute to the reduction of recovery time of negative bias stressed sol-gel IGZO TFTs.

• Journal of IKEEE
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• v.27 no.3
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• pp.251-257
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• 2023

In this paper, we propose a dual-structured self-attention method that improves the lack of regional features of the vision transformer's self-attention. Vision Transformers, which are more computationally efficient than convolutional neural networks in object classification, object segmentation, and video image recognition, lack the ability to extract regional features relatively. To solve this problem, many studies are conducted based on Windows or Shift Windows, but these methods weaken the advantages of self-attention-based transformers by increasing computational complexity using multiple levels of encoders. This paper proposes a dual-structure self-attention using self-attention and neighborhood network to improve locality inductive bias compared to the existing method. The neighborhood network for extracting local context information provides a much simpler computational complexity than the window structure. CIFAR-10 and CIFAR-100 were used to compare the performance of the proposed dual-structure self-attention transformer and the existing transformer, and the experiment showed improvements of 0.63% and 1.57% in Top-1 accuracy, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1595-1603
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• 2020

Online defamation incidents such as Internet news comments on portal sites, SNS, and community sites are increasing in recent years. Bias and hate expressions threaten online service users in various forms, such as invasion of privacy and personal attacks, and defamation issues. In the past few years, academia and industry have been approaching in various ways to solve this problem The purpose of this study is to build a dataset and experiment with deep learning classification modeling for detecting various bias expressions as well as hate expressions. The dataset was annotated 7 labels that 10 personnel cross-checked. In this study, each of the 7 classes in a dataset of about 137,111 Korean internet news comments is binary classified and analyzed through deep learning techniques. The Proposed technique used in this study is multi-channel CNN model with attention. As a result of the experiment, the weighted average f1 score was 70.32% of performance.