The fabric type, water content and friction velocity significantly influence skin perceptual wetness. Fabric with good liquid moisture management property is perceived as significantly less wet, especially under heavy sweaty state of human body. The stronger wetness perception is perceived when fabric with a small frictional coefficient rubs skin at a lower friction velocity. The maximum transient thermal flow of fabric has a significantly positive correlation with wetness perception (r = 0.972).

To investigate the effect of heat, moisture transfer, and mechanical tactile properties of fabrics on skin wetness perception when fabrics were in dynamic contact with skin at three velocities, nine knitted fabrics varying in fiber composition, thickness, and surface texture were evaluated by 20 participants using a wetness rating scale. The objective physical properties of the fabrics, namely, heat and moisture transfer and surface texture, and human physiological responses, namely, skin cooling rate and myoelectric signals, under various conditions were measured, and their correlations with the subjective wetness perception were studied. While the results indicated a significant influence of fabric type, water content, and velocity on skin wetness perception, no significant relation between electromyography and wetness perception was found. Fabrics with faster water spreading speeds and lower absorption rates were perceived as less wet, and the maximum transient thermal flow and skin cooling rate had a significant positive correlation with wetness perception. Furthermore, subjective wetness perception was predicted by the physical parameters of the fabric, that is, maximum transient thermal flow, water content, and friction coefficient, with an acceptable goodness of fit ( R2 = 0.82, p < .001).

Two kinds of evaluation methods were applied to gain insight into how fabrics affect the perception of wetness under dynamic skin contact at different velocities. In a previous study, the stimulus intensity rating was tested by applying a fixed amount of water to fabric samples to determine the quantitative ratings for the intensity of the perception of wetness. In this study, the perceived threshold was determined by supplying water continually until the level of wetness was just-detectable. The results indicated positive correlations between the fabric coefficient of friction, the water spreading speed, and the wetness perception threshold, and there were negative correlations between fabric wetting time, skin cooling rate, and wetness perception threshold. However, no correlation between wetness threshold and maximum transient thermal flow (Qmax) was found in this study. The wetness threshold can be predicted by wetting time and coefficient of friction (R2 = .70, p < .001). The threshold detection was qualified to evaluate the sensitivity to wetness at the initial detection of moisture on the skin, while the stimulus intensity rating would give a better prediction at the moisture absorption stage. This study provided the evaluation technology for designing sportswear, leisurewear, and health-care products with desirable wetness levels.

With the coming of micro-era, micro teaching video has already become the main medium and carrier which helps to reform the traditional classroom teaching mode and promote the micro learning mode. Compared with the traditional classroom teaching record, micro teaching video has distinct characteristics in roles of teachers and students,learning time length, learning content, form of communication, resource composition, research and development orientation, teaching feedback, and so on. Conforming to informationalized instructional design style which emphasizes situation creation, this paper takes Psychological Health of College Students as an example to explain Content design, media design and usability design of micro teaching video.