The Japanese Journal of Ergonomics
Online ISSN : 1884-2844
Print ISSN : 0549-4974
ISSN-L : 0549-4974
Volume 43, Issue 1
Displaying 1-12 of 12 articles from this issue
  • Reducing perceptual error in presenting index line
    Misoroku SORAI, Atsuo MURATA
    2007 Volume 43 Issue 1 Pages 1-9
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
    The perceptual error characteristics when judging the position of index line were compared between horizontal and vertical presentations in order to provide basis for designing displays that took perceptual error characteristics into account. In the vertical judgment, the index line was presented horizontally. The index line was presented vertically in the horizontal judgment. The index line appeared randomly on a position between divisions 0 and 10. The experimental factors were direction of judgment (horizontal and vertical). The task was to judge the position using an integer from 0 to 10. Different error characteristics were identified for both vertical and horizontal judgments. For the vertical judgment, when the index line located left or right of the scale 5, it tended to be recognized as scale 4 or 6. On the other hand, such a tendency was not observed for the horizontal judgment. As a whole, the error when judging the position of horizontal index line (vertical judgment) was less than that when judging the position of vertical index line (horizontal judgment). The results would be applicable to the presentation of bar graphs. When using bar graphs, the one which requires us vertical judgment is more desirable than that which requires us horizontal judgment.
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  • Masahiro KAMEDA, Mitsuru JINDAI, Satoru SHIBATA, Tomonori YAMAMOTO
    2007 Volume 43 Issue 1 Pages 10-18
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
    In this study, the authors propose a handing robot system with a human-machine interface which is composed of a speech recognition unit. In this robot system, the motion characteristics of the robot, which are maximum velocity, peak of velocity profile, and handing position, can be adjusted by the voice orders in order to realize the most comfortable motion of the robot. In this human-machine interface, the cooperator can use adverbs in voice orders. This permits the cooperator to realize efficient adjustments, because the adjusting value of each motion characteristics is determined by adverbs. In particular, adjusting values corresponding to adverbs are estimated by fuzzy inference taking the ambiguities of human speech into consideration. Furthermore, the effectiveness of the proposed handing robot system was demonstrated by experiments.
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  • Masaki HOKARI, Hitoshi DOKI, Takeshi NARUO, Hiroki ASHIDA
    2007 Volume 43 Issue 1 Pages 19-24
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
    In this paper, we investigate the relation between the variables of golfer's cock-roll motion and golf club performance and variables of club head velocity by the experiment and the statistical method. First, to measure cock-roll motion, we used the three dimensional gyro sensor that we developed. To measure head velocity, we used the ball analytical system of Mizuno Ltd.. Next, variables of the cock-roll motion and the club performance related to the head velocity were selected by the stepwize method. By the multiple regression analysis method, the relation between selected variables and head velocity was estimated. As result of test on accuracy of regression equation which is estimated by Adjusted R-square and analysis of variance, the equation of the head velocity showed significance. Finally, we extracted variables affecting the head velocity. This paper related that the improvement of not only the performance of club but also the technique of golfer who is actually using club was an element necessary for improving the head velocity.
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  • Nami HEMMI, Nobutoshi YAMAZAKI
    2007 Volume 43 Issue 1 Pages 25-32
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
    According to the questionnaires of sitting styles in dining chairs, a large number of people were found to sit in various styles such as “agura”, “one-legged agura”, and “seiza”. The most comfortable seat surface shape for each sitting style was measured using an adjustable experimental chair, which is divided laterally into 16 rigid narrow plates. As a result, following seat-front shape was favored: concaved shape for “agura” and “one-legged agura” style, flat surface for “seiza” style, and convex shape with extended seat for “tatehiza” style. From these results, the seat was divided in two parts. A sliding/rotating frontal seat part is adjustable in its length and angle. In “agura” and “tatehiza” style, a favorable backrest shape were classified in 2 types; straight or convex lumbar shape. Also, thorax-dorsal supporting shape was favored by subjects whom lumbar vertebrae spine have contact with the backrest. Therefore, backrest is curved transversally and the bottom part is softened to bend when pushed by the lower back. Armrests were placed so as not to interfere with the leg positions during “agura”. A chair prototype was made following these conditions, and was compared with three commercially available chairs. As a result of sensory evaluation, the prototype was rated higher than the other three chairs in all sitting positions. By putting legs up on the seat, lower leg swelling was reduced, but the contact pressure has increased. By taking various sitting styles, the load of sitting is average out, and longtime sitting can be continued.
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  • Case study on motion sickness
    Chizuru NAKAGAWA, Mieko OHSUGA
    2007 Volume 43 Issue 1 Pages 33-40
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
    To analyze respiratory waveforms, we developed a program, which detects various parameters of each respiratory waveform: the start, peak, and amplitude. Furthermore, the program analyzes not only regular respirations, but also disordered respirations, such as deep breathing and sighs. We introduce the program algorithm and propose a way to use it to classify various respiratory conditions (Stages 1-3). In addition, we report an example of applying this analysis method. We analyze various respiratory waveforms from experiments with 30 subjects who experienced three levels of motion sickness: none, slight, and severe. The results showed that it is possible to roughly classify degrees of motion sickness on the basis of various respiratory conditions.
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  • Tetsuya FUJITA, Yoshio NAKASHIMA, Mamoru TAKAMATSU
    2007 Volume 43 Issue 1 Pages 41-42
    Published: February 15, 2007
    Released on J-STAGE: March 15, 2010
    JOURNAL FREE ACCESS
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