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2007, Piran, Slovenia

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Temper at ur e( ˇ ć)<br />

28.5<br />

27.5<br />

26.5<br />

25.5<br />

24.5<br />

23.5<br />

22.5<br />

25 35 40 50 55<br />

Time(min)<br />

Figure 1. The clothing surface temperature at the front breast.<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

Clothing<br />

Taking the back waist as an example, the regression equations based on different<br />

subjective perceptions, air gap thickness and surface temperature could be established<br />

(Table 5). It is shown that when air gap thickness increases, damp, sticky and muggy<br />

sensation becomes weak. On the other side, subjective sensation increased with the<br />

increasing of surface temperature.<br />

Table 5. Regression equations of subjective votes at the back waist<br />

Periods Perception R R Square F Sig. Regression equation<br />

Damp 0.977 0.954 61.979 0.000 Z=-1.045-0.565x+0.067y<br />

sitting Sticky 0.786 0.619 11.350 0.012 Z =-0.151x+0.953<br />

Muggy 0.939 0.881 22.202 0.002 Z=-2.319-0.666x+0.125y<br />

Body<br />

movement<br />

Damp<br />

Sticky<br />

Muggy<br />

0.972<br />

0.941<br />

0.973<br />

0.945<br />

0.885<br />

0.947<br />

51.638<br />

53.929<br />

53.743<br />

0.000<br />

0.000<br />

0.000<br />

Z=-3.301-0.131x+0.154y<br />

Z -0.200x+1.225<br />

Z=-4.844-0.368x+0.230y<br />

Damp 0.871 0.758 9.422 0.014 Z=-6.436-2.317x+0.413y<br />

Jogging Sticky 0.906 0.821 32.021 0.001 Z =-0.739x+4.588<br />

Muggy 0.897 0.805 12.388 0.007 Z=-11.399-0.982x+0.563y<br />

Damp 0.890 0.793 11.464 0.009 Z=-2.844-0.846x+0.184y<br />

Resting Sticky 0.934 0.872 47.676 0.000 Z =-0.421x+2.332<br />

Muggy 0.982 0.964 79.845 0.000 Z=-5.084-1.321x+0.293y<br />

Note: In regression equation, Z is subjective votes; X is air gap thickness; Y is clothing surface<br />

temperature.<br />

Q type cluster analysis was used to deal with subjective votes of damp, sticky and<br />

muggy sensations. The results (Table 6) show that 9 experimental garments could be<br />

divided into three groups: 1 and 2 with relatively thin air gaps; 3, 4, 5 and 6 with<br />

medium air gaps; 7, 8 and 9 with thick air gaps. Different air gaps resulted in different<br />

subjective sensations. Garments 3, 4, 5 and 6 had the highest comfort votes; garments<br />

1 and 2 had moderate votes, while garments 7, 8 and 9 had the lowest votes (Figure<br />

2). Thus, correct fit is an important factor to the general comfort sensation of clothing.<br />

Table 6. The result of cluster analysis of experimental garments.<br />

First period Second period Third period Fourth period<br />

(sitting) (body movement) (jogging) (resting)<br />

Class 1 1,2 1,2,3 1,2 1,2<br />

Class 2 3,4,5,6,7 4,5,6 3,4,5,6 3,4,5,6<br />

Class 3 8,9 7,8,9 7,8,9 7,8,9<br />

183

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