Garment comfort is determined by the complex interplay of pattern, fabric, and sewing specifications. This study identifies the dominant factors affecting sleeve comfort by comparing 1960s couture techniques with modern mass production. Using conjoint analysis and sensory evaluation, we quantified the impact of “sleeve pattern,” “ fabric,” and “sewing specifications.” Results showed that sewing specifications and fabric were the most influential factors (75-90%) during both static and dynamic conditions. Couture techniques significantly enhanced movability and physical fit. Notably, due to its shear properties, fancy tweed showed a 60% contribution to comfort in the standing posture, whereas the direct contribution of the sleeve pattern was limited. These findings demonstrate that superior comfort depends more on the integration of fabric properties with appropriate sewing techniques than on pattern design alone. Traditional couture techniques possess strong functional rationality, serving as valuable guidelines for high-value-added garment design.

This study analyzed Moodle log data and DX skill survey scores to examine e-learning engagement behavior in relation to digital transformation (DX) skills. The results showed that learning behaviors like quiz response time, lecture viewing order, variability in lecture dwell time, and the number of learning sessions were significantly correlated with DX skill scores. Learners who distributed their study across multiple days outperformed those who completed the course in a single day. In contrast, the daily log count showed no significant correlation. Daily access analysis revealed burst patterns. These findings suggest that the quality of self-regulated learning behavior, rather than the quantity of engagement, is associated with DX skill levels in public sector e-learning.

Smart home products, as integrated systems powered by digital technology, have enormous potential to support household living for middle-aged and older adults in the future. However, their adoption among these groups remains limited. This study aimed to clarify the relationships among perceived usefulness, perceived ease of use, motivation, and intention to use smart home products, and to provide guidelines for their wider diffusion. A questionnaire survey was conducted with 226 adults aged 45 and above living in major Chinese cities. Based on the Technology Acceptance Model and the Situational Motivation Scale, a hypothesis model was proposed. Structural equation modeling revealed that the influences of these factors differed according to user experience, age, and gender. These findings provide basic design and marketing guidelines for promoting smart home products among middle-aged and older adults.

This study examined by experimentation how vehicle sticker content, quantity, and combined presentation influence perceived vulnerability to road rage victimization. Experiment 1 compared multiple sticker types to assess message content effects. Stickers with messages implying surveillance and recording (e.g., “You’re being recorded”) were associated with lower perceived vulnerability, whereas stickers suggesting driver vulnerability (e.g., beginner drivers’ signs) were linked to higher perceived risk. Experiment 2 investigated sticker quantity and combination effects. Results demonstrated that combining recording-warning stickers mitigated unfavorable impressions associated with vulnerability-related stickers, while increasing sticker quantity did not consistently strengthen perceived deterrence. Additionally, Kei (light) vehicles were perceived as more vulnerable than standard vehicles, although sticker effects were directionally consistent across vehicle types. Reported acceptability varied across sticker types and quantities. These findings indicate that perceived vulnerability reflects interactions among surveillance cues, vulnerability signals, vehicle characteristics, and user acceptability. Those interactions shape social risk perception in traffic environments.