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Table 5: The average values of the NARS scores in the male and female subjects and t{values between them (n: the number of subjects. The values in brackets represent the standard deviation).
2004
"... In PAGE 6: ...2 Influence of Gender on Relations between Negative Attitudes and Behaviors toward the Robot First, we executed a t{test to verify statistically signi cant di erences in the scores of NARS and behavior indices between the male and female subjects. Table5 and 6 show the average values of the NARS scores and behavior indices, and t{values of them between the males and females. As shown in Table 5, there was a trend that the female subjects had lower negative attitudes toward robots than the male subjects.... In PAGE 6: ... Table 5 and 6 show the average values of the NARS scores and behavior indices, and t{values of them between the males and females. As shown in Table5 , there was a trend that the female subjects had lower negative attitudes toward robots than the male subjects. In particular, there was a statistically signi cant di erence of 5% on the scores of negative attitude toward emotions in interaction with robots (S3).... In PAGE 7: ... Although there was no statistical signi cance, on the time elapsed until the subjects replied to the robot after it uttered to stimulate their self-expression (U2) and their scores of negative attitude toward situations of interaction with robots (S1), the male subjects showed a negative correlation whereas the female subjects showed a positive correlation. Moreover, on the distance from the subjects to the robot when they rst stood in front of it after entering the room (D) and their scores of negative attitude toward emotions in interaction with robots (S3), on which there was a statistically signi cant di erence between the male and female subjects in Table5 , the male subjects showed a positive correlation, whereas the female subjects showed a negative correlation. On the time elapsed until the subjects talked to the robot after entering the room (U1) and their scores of negative attitude toward social in uence of Table 7: Correlation coe cients between the NARS scores and behavior indices in the male and female subjects.... ..."
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Table 6. Experimental results depicting classiflcation errors (%) of difierent associa- tive classiflers. Figures in bold indicate the lowest error. The numbers inside brackets denotes the average number of CARs/NARs in the classifler.
Table 2 Categorization of 547 public databases by bioinformatics type (original database accessed May 3 2004, original list from http://nar.oupjournals.org/)
Table 10: Correlation coe cients between the NARS scores and behavior indices in the subgroups of the subjects who had seen really acting robots and those who had not (EE: the subgroups of the subjects who had seen really acting robots, NEE: the subgroups of the subjects who had not seen really acting robots).
2004
"... In PAGE 8: ... Second, we investigated correlation coe cients between the NARS scores and behavior indices independently for the subgroups of the subjects who had seen really acting robots and those who had not. Table10 shows these correlation coe cients. On the time elapsed until the subjects replied to the robot after it uttered to stimulate their self-... ..."
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Table 11: The result of the two{ways ANOVA for the NARS scores in 238 respondents (n: the number of respondents, EE: the subgroups of the respondents who had seen really acting robots, NEE: the subgroups of the respondents who had not seen really acting robots).
2004
"... In PAGE 10: ...he females: 22.4) in order to investigate validity of the NARS (Nomura et al., 2004). In analysis of the data, it was found by a two{ways ANOVA that genders and experiences on robots a ect the scores of the subordinate scale S1 (see Table11 in Appendix). The statistical trend in this data did not appear in the subjects of our experiment.... ..."
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Table 12: The result of the two{ways ANOVA for the NARS scores in the 238 respondents and the subjects in the human{robot interaction experiments (RE: the respondents for validity con rmation, SJ: the subjects in the human{robot interaction experiments). Average (SD) f{Values
2004
"... In PAGE 10: ... Moreover, we executed a two{ways ANOVA for male{female and these respondents{the subjects in section 4 to investigate di erence on the NARS scores between them. As a result, it was found that the female subjects had lower negative attitudes toward emotions in interaction with robots than the respondents (see Table12 in Ap- pendix. Tukey post{hoc tests con rmed it with statistically signi cance of 1%).... ..."
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Table 1. Using SUIF2, we developed a tool to quantify the occurrences of non-affine refer- ences (NARs) in three ways: the fraction of static and dynamic references which are non- affine and the average iteration count of the containing loop nests. Codes are grouped by benchmark.
"... In PAGE 1: ... Furthermore, many codes satisfy this as- sumption. Nonetheless, as shown in Table1 , many impor- tant problems, such as sparse matrix algorithms, unstruc- tured mesh calculations, and some sorting methods, contain non-affine array references and loop bounds. Furthermore, non-affine references impede performance.... ..."
Table 1. Using SUIF2, we developed a tool to quantify the occurrences of non-affine refer- ences (NARs) in three ways: the fraction of static and dynamic references which are non- affine and the average iteration count of the containing loop nests. Codes are grouped by benchmark.
"... In PAGE 1: ... Furthermore, many codes satisfy this as- sumption. Nonetheless, as shown in Table1 , many impor- tant problems, such as sparse matrix algorithms, unstruc- tured mesh calculations, and some sorting methods, contain non-affine array references and loop bounds. Furthermore, non-affine references impede performance.... ..."
Table 3. 35 proteins in Alpha and Beta class PDB Code Classification in SCOP (Alpha and Beta) 1byb, 1ghr, 1nar, 2acq, 2mnr, 4enl, 1oyc beta/alpha (TIM)-barrel
Table 8: The average values of the NARS scores in the subgroups of the subjects who had seen really acting robots and those who had not, and t{values between them (n: the number of subjects, EE: the subgroups of the subjects who had seen really acting robots, NEE: the subgroups of the subjects who had not seen really acting robots. The values in brackets represent the standard deviation).
2004
"... In PAGE 8: ... We divided the subjects into the subgroups of those who denied it and those who acknowledged it, then executed a t{test to verify statistically signi cant di erences in the scores of NARS and behavior indices between these subgroups. Table8 and 9 show the average values of the NARS scores and behavior indices, and t{values of them between these subgroups. As shown in Table 8, there was no statistically signi cant di erence on the NARS scores between the subgroups of the subjects who had seen really acting robots and those who had not.... In PAGE 8: ... Table 8 and 9 show the average values of the NARS scores and behavior indices, and t{values of them between these subgroups. As shown in Table8 , there was no statistically signi cant di erence on the NARS scores between the subgroups of the subjects who had seen really acting robots and those who had not. However, as shown in Table 9, there were statistically signi cant tendencies of 10% on the distance from the subjects to the robot when they rst stood in front of the robot after entering the room (D) and the time elapsed until the subjects replied to the robot after it uttered to stimulate their self-expression (U2).... ..."
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