Science of Emotion and Sensibility

This study examined whether difficulties in emotion regulation mediate the relationship between rejection sensitivity and social anxiety among young adults. A total of 396 individuals aged 18-29 completed measures assessing rejection sensitivity, social anxiety, and emotion regulation difficulties (i.e., emotion dysregulation). Correlation analyses showed that all three variables were positively and significantly associated with one another. Mediation analyses further revealed that emotion dysregulation served as a partial mediator in the relationship between rejection sensitivity and social anxiety. Specifically, higher rejection sensitivity was associated with greater difficulties in emotion regulation, which contributed to elevated levels of social anxiety. Notably, the direct effect of rejection sensitivity on social anxiety remained significant even after accounting for emotion dysregulation, indicating that emotion regulation does not fully explain the link between the two variables. These findings highlight the importance of emotion regulation as a psychological mechanism influencing social anxiety during young adulthood. Moreover, they suggest that interventions aimed at enhancing emotion regulation skills may help reduce social anxiety or prevent its escalation during this developmental period. Overall, this study provides empirical evidence of the direct and indirect pathways through which rejection sensitivity contributes to social anxiety in young adults and underscores the need for targeted preventive and therapeutic strategies.

keyword : Emerging Adulthood, Emotion Dysregulation, Rejection Sensitivity, Social Anxiety, Social Anxiety Disorder

This study aimed to quantify the segmental flexion characteristics and postural variability of the thoracic and lumbar spine based on visual display terminal (VDT) work types using wearable inertial measurement units (IMUs). Three IMU sensors were attached to the upper thoracic, lower thoracic, and pelvic regions to derive intersegmental flexion angles and range of motion. Ten healthy male participants in their 20s completed four sitting conditions each lasting 10 minutes: upright sitting, desktop computer work, laptop computer work, and smartphone use. The results showed that the location and magnitude of spinal flexion differed across VDT conditions. Lower thoracic flexion increased significantly in the desktop computer condition, whereas lumbar flexion was significantly elevated in the laptop and desktop computer conditions. Torso-pelvic flexion was significantly elevated across all three VDT conditions. The thoracic range of motion was higher in all VDT conditions, suggesting continuous microadjustments during task performance. Notably, the laptop condition showed a relatively greater upper thoracic flexion angle paired with a relatively low torso-pelvic range of motion, suggesting that spinal flexion magnitude and postural variability do not necessarily correlate. Taken together, these findings support the need for device-specific spinal management and may serve as foundational data for developing personalized seating assistance systems, wearable postural feedback devices, and user-centered healthcare systems.

keyword : Wearable IMU Sensor, VDT Work Posture, Spinal Segmental Flexion, Postural Variability, Thoracic and Lumbar Spine, 웨어러블 IMU 센서, VDT 작업 자세, 척추 분절 굴곡, 자세 변동성, 흉추 및 요추

This study investigated the applicability of Korean traditional textiles for everyday wear by analyzing the relationships among tactile sensations, sensory images, and consumer acceptance of five representative fabrics: Mosi organdy ramie, Mumyeong cotton, Nobang organza silk, Gapsa leno silk, and Gongdan satin silk. Following a preliminary survey conducted at a fabric market, a sensory evaluation was performed with 39 clothing major students using 18 tactile and 16 sensibility descriptors. The results identified four sensibility image dimensions, namely “Elegant,” “Rustic,” “Comfort,” and “Unique.” Moreover, a linear mixed-effect model analysis revealed that although the “Elegant” and “Comfort” images substantially enhanced purchase preference, “Rustic” had a somewhat negative effect in overall purchasing contexts; however, it had a positive effect in the context of everyday wear. In the analysis of everyday clothing preferences, Mumyeong cotton (59.0%) ranked first, receiving the highest score in “Comfort,” which was associated with psychological ease. In contrast, Mosi organdy ramie recorded the highest score for non-preference for everyday wear (58.9%) due to its lower “Comfort” rating, despite its “Elegant” and “Rustic” rankings being comparable to those of Mumyeong cotton. This research suggests that the modernization of Korean traditional textiles should focus on enhancing emotional comfort and familiarity while still preserving their unique characteristics.

keyword : Korean Traditional Textiles, Tactile, Sensibility Image, Rustic, Everyday Wear, 한국 전통직물, 촉감, 감성 이미지, 소박미, 일상복

As artificial intelligence (AI) becomes increasingly integrated into online shopping environments, AI-driven recommendations are emerging as a standard practice. While prior research has primarily compared AI and human recommendations, relatively little attention has been paid to hybrid approaches that combine both. Addressing this gap, this study examines how consumers perceive and respond to AI+human recommendations in the context of fashion shopping. Using a between-subjects experimental design, participants were assigned to one of three conditions (AI-only, human-only, or AI+human recommendation), and data were collected from 299 female consumers aged 20-39 in the United States. The results show that AI+human recommendations lead to higher perceived recommendation quality, which in turn enhances consumer attitude toward the recommendation and purchase intention. Furthermore, the findings reveal that the effectiveness of hybrid recommendations varies depending on consumers’ fashion decision difficulty, such that the effect is stronger for those with lower decision difficulty. By identifying perceived recommendation quality as a key psychological mechanism, this study contributes to the literature on AI-based recommendations. The findings also provide practical implications for fashion firms by suggesting that integrating AI and human input and tailoring recommendation strategies to different consumer segments can enhance recommendation effectiveness.

keyword : AI-Based Recommendation, Hybrid Recommendation (AI+Human), Perceived Recommendation Quality, Consumer Response, Fashion Decision Difficulty

Electroencephalography (EEG)-based emotion recognition has attracted increasing attention because of its ability to capture intrinsic affective states beyond any observable behavior. However, the effective representation of high-dimensional EEG features and the lack of age-specific analyses remain major challenges in fine-grained emotion recognition. To address these limitations, we analyzed how EEG structural features vary across different age groups based on the EEGEmotions-27 dataset. A substantial overlap was seen among the top-ranked EEG features between the young and old age groups. Furthermore, suppressed feature analysis suggested that performance degradation was more strongly associated with a reduction in dimensionality than with a clear mismatch between age-specific feature set. These findings provide preliminary evidence that age-related variations may be more common with the relative importance of shared EEG features rather than in the presence or absence of entirely distinct feature subsets. This analysis may contribute to developing interpretable, lightweight, and age-specific EEG-based emotion recognition systems.

keyword : EEG, Emotion Recognition, Fine-grained Emotion Classification, Age-Dependent Analysis

본 연구는 VR 환경에서 헤드 게이즈와 연동된 파티클 시각효과가 사용자의 감정 몰입에 미치는 영향을 분석하였다. Plutchik의 감정 분류와 색채·운동성 척도를 기반으로 분노·기쁨·슬픔의 파티클 시각효과를 설계하고, 메타 퀘스트 3의 머리 추적 데이터로 사용자의 주시 지점에 반응하는 헤드 게이즈 인터랙션을 구현하였다. 20대 30명을 대상으로 헤드 게이즈 조건과 비인터랙션 조건을 비교하는 피험자 내 실험을 수행하였으며, 시각적 표현 적합성,

keyword : Augmented Reality, Particle Visual Effects, Emotional Immersion, Head Gaze, Interaction Design