Institutional Repository of Institute of Psychology, Chinese Academy of Sciences

Institute of Psychology, Chinese Academy of Sciences

Institutional Repository of Institute of Psychology, Chinese Academy of Sciences
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    27336 research outputs found

    The primacy of taxonomic semantic organization over thematic semantic organization during picture naming

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    Different organizational structures have been argued to underlie semantic knowledge about concepts; taxonomic organization, based on shared features, and thematic organization based on co-occurrence in common scenes and scenarios. The goal of the current study is to examine which of the two organizational systems are more engaged in the semantic context of a picture naming task. To address this question, we examined the representational structure underlying the semantic space in different picture naming tasks by applying representational similarity analysis (RSA) to electroencephalography (EEG) datasets. In a series of experiments, EEG signals were collected while participants named pictures under different semantic contexts. Study 1 reanalyzes existing data from semantic contexts directing attention to taxonomic organization and semantic contexts that are not biased towards either taxonomic or thematic organization. In Study 2 we keep the stimuli the same and vary semantic contexts to draw attention to either taxonomic or thematic organization. The RSA approach allows us to examine the pairwise similarity in scalp-recorded amplitude patterns at each time point following the onset of the picture and relate it to theoretical taxonomic and thematic measures derived from computational models of semantics. Across all tasks, the similarity structure of scalp-recorded neural activity correlated better with taxonomic than thematic measures, in time windows associated with semantic processing. Most strikingly, we found that the scalp-recorded patterns of neural activity between taxonomically related items were more similar to each other than the scalp-recorded patterns of neural activity for thematically related or unrelated items, even in tasks that makes thematic information more salient. These results suggest that the principle semantic organization of these concepts during picture naming is taxonomic, at least in the context of picture naming

    A deep learning method for contactless emotion recognition from ballistocardiogram

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    Emotion recognition is a major research point in the field of affective computing. Existing research on the application of physiological signals to emotion recognition mainly focuses on the processing of contact signals. However, there are issues with contact signal acquisition equipment, such as limited portability and poor user compliance, which make it difficult to promote its use. To explore a new method for emotion recognition based on contactless ballistocardiogram (BCG), we proposed a SE-CNN model with a multi-class focal loss function. To construct the dataset, we used audio-visual stimuli to evoke the subjects' emotions and collected data on the subjects' three discrete emotions, positive, neutral, and negative, through our established BCG signal acquisition system based on a piezoelectric ceramics sensor. Root mean square filter and thresholding were used to detect and eliminate motion artifacts of BCG signals. We did two kinds of preprocessing on BCG signals: wavelet transform and bandpass filtering, to explore the effect of different components of BCG on emotion recognition. Subsequently, we verified the model's performance and cross-time working ability through traditional K-Fold and our proposed K-Session cross-validation methods. The results showed that the band-pass filtering method was more beneficial to the current classification task. Under K-Fold cross-validation, the model's accuracy, precision, and recall were 97.21%, 97.00%, and 97.11%. Under K-Session cross-validation, the model's accuracy, precision, and recall were 94.66%, 93.92%, and 94.86%, respectively, all of which were better than the classification effect of synchronous ECG. The reliability of BCG in contactless emotion recognition was proved

    A deep learning method for contactless emotion recognition from ballistocardiogram

    No full text
    Emotion recognition is a major research point in the field of affective computing. Existing research on the application of physiological signals to emotion recognition mainly focuses on the processing of contact signals. However, there are issues with contact signal acquisition equipment, such as limited portability and poor user compliance, which make it difficult to promote its use. To explore a new method for emotion recognition based on contactless ballistocardiogram (BCG), we proposed a SE-CNN model with a multi-class focal loss function. To construct the dataset, we used audio-visual stimuli to evoke the subjects' emotions and collected data on the subjects' three discrete emotions, positive, neutral, and negative, through our established BCG signal acquisition system based on a piezoelectric ceramics sensor. Root mean square filter and thresholding were used to detect and eliminate motion artifacts of BCG signals. We did two kinds of preprocessing on BCG signals: wavelet transform and bandpass filtering, to explore the effect of different components of BCG on emotion recognition. Subsequently, we verified the model's performance and cross-time working ability through traditional K-Fold and our proposed K-Session cross-validation methods. The results showed that the band-pass filtering method was more beneficial to the current classification task. Under K-Fold cross-validation, the model's accuracy, precision, and recall were 97.21%, 97.00%, and 97.11%. Under K-Session cross-validation, the model's accuracy, precision, and recall were 94.66%, 93.92%, and 94.86%, respectively, all of which were better than the classification effect of synchronous ECG. The reliability of BCG in contactless emotion recognition was proved

    The effect of anhedonic traits on snack food consumption and interoception of food-related pleasure and bodily sensations

    No full text
    Human eating behaviour is driven by the need to secure energy demands and the desire for pleasure. Signals from the body guide this behaviour, relying on the ability to sense internal sensations. Impaired interoception has been linked to unhealthy eating habits. However, the impact of anhedonia (reduced ability to experience pleasure) on interoception and eating behaviour has not yet been studied and could enhance our understanding of eating behaviour. We conducted a cross-sectional study using self-report measures on 309 Chinese consumers with high (n = 150) and low (n = 159) anhedonic traits to explore differences in interoceptive experiences of snack food consumption. Specifically, we investigated interoceptive awareness, intuitive eating, and food-related pleasure using validated questionnaires. Additionally, we examined snack intake frequency, drivers of snack food consumption and post-ingestive sensations using self-developed questionnaires. We hypothesised that individuals with high anhedonic traits would exhibit low interoceptive awareness and lower intensity of interoceptive sensations linked to snack food consumption. Consistent with our hypotheses, low interoceptive awareness and intuitive eating were observed in individuals with high anhedonic traits. Furthermore, individuals with high anhedonic traits reported lower food-related pleasure, lower healthy snack intake frequency, and lower intensity of post-ingestive sensations for healthy snacks compared to the group with low anhedonic traits. Differences detected between groups were mainly detected for healthy snacking and not unhealthy snacking. Understanding how anhedonic traits relate to food pleasure and bodily sensations related snack consumption can provide novel insights and clarify focus areas for developing strategies supporting interoceptive awareness for long-term dietary behaviour changes.</p

    Similarities and differences in core symptoms of problematic smartphone use among Chinese students enrolled in grades 4 to 9: A large national cross-sectional study

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    Children and adolescents are highly susceptible to problematic smartphone usage. We employed network analysis to explore the similarities and differences in the core symptoms of problematic smartphone use across grades 4-9, using a large nationwide sample. This study included 8552 children and adolescents (Mage M age = 12.98, SD =1.51) who met the critical value for problematic smartphone use. The results showed that the core symptoms of problematic smartphone use exhibit both similarities and differences between grades 4 and 9. 'Withdrawal symptoms' and 'preoccupation symptoms' were the stable core symptoms of problematic smartphone use across grades 4 to 9, suggesting that problematic smartphone use begin to appear from earlier grades, such as grade 4. 'Feel impatient and fretful', 'never give up' and 'always thinking about' were the core symptoms in grades 4 and 5. 'Longer than I had intended' and 'hard to concentrate' emerged as additional core symptoms in grade 6, with the intensity indicators peaking in grades 8 and 9, suggesting that the issue of problematic smartphone use among Chinese children and adolescents has become intensified and intricate. Symptoms of problematic smartphone use vary across grades and exhibit both continuity and stage specificity. Consequently, to address this issue, the formulation of intervention measures should comprehensively consider both the grade levels and symptoms

    Similarities and differences in core symptoms of problematic smartphone use among Chinese students enrolled in grades 4 to 9: A large national cross-sectional study

    No full text
    Children and adolescents are highly susceptible to problematic smartphone usage. We employed network analysis to explore the similarities and differences in the core symptoms of problematic smartphone use across grades 4-9, using a large nationwide sample. This study included 8552 children and adolescents (Mage M age = 12.98, SD =1.51) who met the critical value for problematic smartphone use. The results showed that the core symptoms of problematic smartphone use exhibit both similarities and differences between grades 4 and 9. 'Withdrawal symptoms' and 'preoccupation symptoms' were the stable core symptoms of problematic smartphone use across grades 4 to 9, suggesting that problematic smartphone use begin to appear from earlier grades, such as grade 4. 'Feel impatient and fretful', 'never give up' and 'always thinking about' were the core symptoms in grades 4 and 5. 'Longer than I had intended' and 'hard to concentrate' emerged as additional core symptoms in grade 6, with the intensity indicators peaking in grades 8 and 9, suggesting that the issue of problematic smartphone use among Chinese children and adolescents has become intensified and intricate. Symptoms of problematic smartphone use vary across grades and exhibit both continuity and stage specificity. Consequently, to address this issue, the formulation of intervention measures should comprehensively consider both the grade levels and symptoms

    A Comparative Study of Form-sound Integration between School-aged Children and Adults: The Mutual Influence of Visual Form and Phonetic Information

    No full text
    本研究采用词汇判断任务,探究了学龄儿童与成人在形音整合中,字形与字音加工的相互影响的差异。结果表明:(1)字音影响字形加工方面,不一致字音干扰了儿童的字形加工,一致字音促进了成人的字形加工;(2)字形影响字音加工方面,一致字形促进了儿童和成人的字音加工,且对成人字音加工的促进作用更大,不一致字形干扰了儿童和成人的字音加工。本研究从字音影响字形加工和字形影响字音加工两个角度出发,揭示了学龄儿童与成人形音整合能力的差异。</p

    Work stressors and aggressive driving: The mediating roles of stress appraisals

    No full text
    While the association between work stressors and the risk of traffic accidents and driving lapses has been established, there is a lack of research exploring the relationship between work stressors and aggressive driving-a notable contributor to traffic incidents and injuries. To fill this gap, the present study utilized the challenge-hindrance stressor framework and the transactional theory of stress to investigate the effects of these stressors on aggressive driving behaviors, with a particular focus on the mediating roles of challenge and hindrance appraisals. We used time-lagged design and gathered self-reported data from 247 employees at a Chinese company over three distinct time points. The results of structural equation modeling indicated that both challenge and hindrance stressors are positively associated with aggressive driving, with their effects mediated by corresponding appraisals of challenge and hindrance. Notably, challenge appraisals were inversely related to aggressive driving. Our study is one of the first attempts to explore the relationship between work stressors and aggressive driving, underscoring the critical role of stress appraisals in understanding responses to stressors

    The primacy of taxonomic semantic organization over thematic semantic organization during picture naming

    No full text
    Different organizational structures have been argued to underlie semantic knowledge about concepts; taxonomic organization, based on shared features, and thematic organization based on co-occurrence in common scenes and scenarios. The goal of the current study is to examine which of the two organizational systems are more engaged in the semantic context of a picture naming task. To address this question, we examined the representational structure underlying the semantic space in different picture naming tasks by applying representational similarity analysis (RSA) to electroencephalography (EEG) datasets. In a series of experiments, EEG signals were collected while participants named pictures under different semantic contexts. Study 1 reanalyzes existing data from semantic contexts directing attention to taxonomic organization and semantic contexts that are not biased towards either taxonomic or thematic organization. In Study 2 we keep the stimuli the same and vary semantic contexts to draw attention to either taxonomic or thematic organization. The RSA approach allows us to examine the pairwise similarity in scalp-recorded amplitude patterns at each time point following the onset of the picture and relate it to theoretical taxonomic and thematic measures derived from computational models of semantics. Across all tasks, the similarity structure of scalp-recorded neural activity correlated better with taxonomic than thematic measures, in time windows associated with semantic processing. Most strikingly, we found that the scalp-recorded patterns of neural activity between taxonomically related items were more similar to each other than the scalp-recorded patterns of neural activity for thematically related or unrelated items, even in tasks that makes thematic information more salient. These results suggest that the principle semantic organization of these concepts during picture naming is taxonomic, at least in the context of picture naming

    Work stressors and aggressive driving: The mediating roles of stress appraisals

    No full text
    While the association between work stressors and the risk of traffic accidents and driving lapses has been established, there is a lack of research exploring the relationship between work stressors and aggressive driving-a notable contributor to traffic incidents and injuries. To fill this gap, the present study utilized the challenge-hindrance stressor framework and the transactional theory of stress to investigate the effects of these stressors on aggressive driving behaviors, with a particular focus on the mediating roles of challenge and hindrance appraisals. We used time-lagged design and gathered self-reported data from 247 employees at a Chinese company over three distinct time points. The results of structural equation modeling indicated that both challenge and hindrance stressors are positively associated with aggressive driving, with their effects mediated by corresponding appraisals of challenge and hindrance. Notably, challenge appraisals were inversely related to aggressive driving. Our study is one of the first attempts to explore the relationship between work stressors and aggressive driving, underscoring the critical role of stress appraisals in understanding responses to stressors

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