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Nozawa presentation

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  • 1. Efficacy of Technical Illustrations ina Technical CommunicationEnvironmentMasato Nozawa (s1170033)Technical Communication LabUniversity of AizuFebruary 2013 1Graduation Thesis Presentation
  • 2. Overview—  Introduction—  Problem—  Method◦  Research tool◦  Participants◦  Data Collection◦  Data Analysis—  Results—  Discussion—  Conclusion and Future WorkFebruary 2013 2Graduation Thesis Presentation
  • 3. Introduction—  What is mental imagery?Our general understanding of how different objectsfunctions in space without direct visualization.—  Pursue a mental rotation.This is the ability to rotate two-dimensional and three-dimensional objects in space but as an internalrepresentation of the mind.February 2013 3Graduation Thesis Presentation
  • 4. Problem—  How do we design body/object positionsin user manuals most effectively forsecond language speakers such that aminimalist text approach is viable?—  How do we enhance a motor skillefficiently by using user manual?February 2013 4Graduation Thesis Presentation
  • 5. Research tools 1—  Poser Figure Artist softwareThis is used to design body positions andangles.February 2013 5Graduation Thesis Presentation
  • 6. Research tools 2—  SPSS softwareThis is a software package used for statistical analysis. Inthis study, it was used to measure users’ accuracy withdifferent body angles (5 positions), height of the bat andaction positions (holding versus hitting).February 2013 6Graduation Thesis Presentation
  • 7. Participants・41 subjects(student of Aizu university).These subjects had no pervious experience with designanalysis or perspective studies.February 2013 7Graduation Thesis Presentation
  • 8. Data collection・ 41subjects took part in the experiment and each subject rated 40image types, divided into two blocks of 20 each.This study considered only one set of analysis (20 imagecombinations): Bat positions (holding and hitting; chest and waistheight and 5 angular rotations).February 2013 8Graduation Thesis Presentation
  • 9. Data Analysis – Mean Accuracy ScoresFebruary 2013 9Graduation Thesis Presentation
  • 10. Result 1.64.66.68.70.72.74.76.78.80.82.84.86.88.90.92.94Holding chestfrontHolding chest1/3 sideHolding chestsideHolding chest1/3 backHolding chestbackmeanmeanMaximum value: .93Minimum value: .83Holding - ChestFebruary 2013 10Graduation Thesis Presentation
  • 11. Result 2.64.66.68.70.72.74.76.78.80.82.84.86.88.90.92.94Hitting chestfrontHitting chest1/3 sideHitting chestsideHitting chest1/3 backHitting chestbackmeanmeanMaximum value: .85Minimum value: .66Hitting - ChestFebruary 2013 11Graduation Thesis Presentation
  • 12. Result 3.64.66.68.70.72.74.76.78.80.82.84.86.88.90.92.94Holding waistfrontHolding waist1/3 sideHolding waistsideHolding waist1/3 backHolding waistbackmeanmeanMaximum value: .93Minimum value: .85Holding - WaistFebruary 2013 12Graduation Thesis Presentation
  • 13. Result 4.64.66.68.70.72.74.76.78.80.82.84.86.88.90.92.94Hitting waistfrontHitting waist1/3 sideHitting waistsideHitting waist1/3 backHitting waistbackmeanmeanMaximum value: .93Minimum value: .68Hitting - WaistFebruary 2013 13Graduation Thesis Presentation
  • 14. DiscussionThe data as obtained from this study remainsinconclusive as to whether there could be a strictpreference for canonical viewpoints showing three-quarter views and depth perceptions.However, preliminary indications suggest that canonicalviewpoints have higher levels of accuracy, along withsome other combinations.Further analysis of body heights and angularcombinations are required for future studies.February 2013 14Graduation Thesis Presentation
  • 15. Conclusion and future workMy main purpose of this study is aimed at carryingforward the studies performed by Krull et al (2004) andKrull and Roy (2005).—  Future workü  Various actions1. Carrying 2. Lifting 3. Pulling 4. Pushingü  Differentiate between postures1. Chair 2. Ball 3. Box 4. Handle5. Sphere/TriangleFebruary 2013 15Graduation Thesis Presentation
  • 16. February 2013 Graduation Thesis Presentation 16Thank you

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