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No.109, 2006 * Comparative Study in the Sentence of Students' Reports Produced between PC-Mail and Mobile Phone-Mail Naomasa SASAKI and Kumiko ISHIKAWA* Accepted April 30, 2006 : 1,100 : Abstract : This paper describes the investigation of peculiarity and a point of difference between students' reports composed by PC and mobile phone using a quantitative analysis method. Sentences and contexts were analyzed using the sentence analysis function of word processing software on about 1,100 students' subject reports composed and submitted by PC and mobile phone. Analysis and consideration were inquired by frequencies of each item and scores. Also, sentences and contexts were analyzed and evaluated using kansei evaluation method by observers to grasp and compare the impressions and the feelings about the extracted sentences from each students' reports. The results of the study showed that the effect of context and sentence style was effected by typing operation and sentence elaboration from functional characteristic between PC-mail and mobile phone-mail. Key Words : e-mail, mobile mail, sentence analysis, kansei evaluation *

2004 7,515 86.4% 17 22 50 1987 2003 2003 2002

2001 3 2 2 1,000 1,100 1 1 2 3 4 2001 67 65 98 107 337 2002 110 113 119 106 448 2003 121 121 70 78 390 298 299 287 291 1,175 1 1 1,000 2 1 1,000 1 1,000 2 1,000 4 docomo.ne.jp ezweb.ne.jp jp-k.ne.jp vodafone.ne.jp 267 124 12

2 001 002 003 004 005 006 007 008 009 010 101 102 103 1 2

001 002 003 004 005 006 007 1 008 009 010 101 102 103 267 124 t f 3 004. 005. 006. 007. 008. 009. % 010. % 961.6 20.7 6.0 48.5 19.1 29.8 8.7 544.1 12.2 1.0 46.4 21.9 31.1 6.4 828.5 18.0 4.4 47.8 20.0 30.2 8.0 101. 102. 103. 6.74 0.59 3.90 8.06 0.83 4.59 7.16 0.67 4.12 4 1,000 004 962 544 005 20.7 12.7 006 6.0 1.0 007 48

008 20 009 30% 010 8.8% 6.4% t=3.37, p<0.05 3 101 6.74% 8.06% 102 0.59% 0.83% 103 3.90% 4.59% 3 t 267 124 10

1 10 10 2005 2 20 5 5 10 10 10 3 2 1 0 7 4 3 2 1 0 1 2 3 100 100 t f 3 3 4 7 1 2 5.3 5.2 5.2

3.13.2 4.6 4.6 4.6 3.3 3.63.9 100 100 5 5.2 4.6 4.9 4.5 3.2 3.9 3.1 3.6 5.1 4.6 4.9 4.0 4.7 4.0 5.2 4.4 5.3 4.6 4.6 3.3 5 4.5 4.9 3.2 3.9 t=3.41, p<0.05 3.1 3.5 4.6 5.1 4.9 4.0 t=2.39, p<0.05 4.0 4.7 4.6 5.3 4.2 3.4 t=3.20, p<0.05 3.6 2.3 t=5.75, p<0.05

10 1 0.5 5 8 4 6 7 1 L=.822 L L=.655 L=.576 2 L=.731 L=.730 L=.535 3 L=.825L=.519 4 L=.692 L=.575

1 2 3 4 0.822 0.019 0.080 0.202 0.655 0.177 0.278 0.143 0.576 0.294 0.091 0.161 0.288 0.731 0.190 0.155 0.080 0.730 0.217 0.104 0.138 0.535 0.402 0.563 0.269 0.250 0.825 0.155 0.105 0.375 0.519 0.251 0.481 0.178 0.216 0.692 0.554 0.166 0.183 0.575 % 49.5 14.5 8.2 6.7 N=100 8 78.9% 1 2 3 4 0.813 0.091 0.322 0.244 0.740 0.189 0.145 0.035 0.535 0.289 0.130 0.406 0.345 0.802 0.132 0.120 0.041 0.763-0.036 0.317 0.130-0.062 0.727 0.052 0.286 0.483 0.650-0.032 0.086 0.242-0.027 0.796 0.369 0.135 0.446 0.523 0.353 0.084 0.458 0.453 % 44.5 14.9 10.7 9.5 N=100 8 79.6% 1 L=.813 L=.740 L=.535 2 L=.802 L=.763 3 L=.727 L=.650 4 L=.796 L=.523 8

1 2 3 4 2 010 4 4

http://121ware.com/apinfo/content/mworld/p2-1.htm 1987Vol.J-70-D No.11 pp.2047-2057 http://121ware.com/apinfo1/content/mworld/2047.htm 1987 Vol.J-70-D No.11 pp.2182-2190 http://121ware.com/apinfo1/content/mworld/2182.htm 2003 http://ergo1.ti.chiba-u.jp/pdf/2003/harada.pdf 2003 5 pp.36-41 http://www.bukkyo-u.ac.jp/jssep5/pdf/harakiyoharu.pdf 2002 A pp.25-30 SPSS10.0J for Windows Microsoft Excel 2002