Efficacy of Technical Illustrations in
a Technical Communication
Environment
Masato Nozawa (s1170033)
Technical Communication Lab
University of Aizu
February 2013 1Graduation Thesis Presentation
Overview
—  Introduction
—  Problem
—  Method
◦  Research tool
◦  Participants
◦  Data Collection
◦  Data Analysis
—  Results
—  Discussion
—  Conclusion and Future Work
February 2013 2Graduation Thesis Presentation
Introduction
—  What is mental imagery?
Our general understanding of how different objects
functions 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 internal
representation of the mind.
February 2013 3Graduation Thesis Presentation
Problem
—  How do we design body/object positions
in user manuals most effectively for
second language speakers such that a
minimalist text approach is viable?
—  How do we enhance a motor skill
efficiently by using user manual?
February 2013 4Graduation Thesis Presentation
Research tools 1
—  Poser Figure Artist software
This is used to design body positions and
angles.
February 2013 5Graduation Thesis Presentation
Research tools 2
—  SPSS software
This is a software package used for statistical analysis. In
this study, it was used to measure users’ accuracy with
different body angles (5 positions), height of the bat and
action positions (holding versus hitting).
February 2013 6Graduation Thesis Presentation
Participants
・41 subjects(student of Aizu university).
These subjects had no pervious experience with design
analysis or perspective studies.
February 2013 7Graduation Thesis Presentation
Data collection
・ 41subjects took part in the experiment and each subject rated 40
image types, divided into two blocks of 20 each.
This study considered only one set of analysis (20 image
combinations): Bat positions (holding and hitting; chest and waist
height and 5 angular rotations).
February 2013 8Graduation Thesis Presentation
Data Analysis – Mean Accuracy Scores
February 2013 9Graduation Thesis Presentation
Result 1
.64
.66
.68
.70
.72
.74
.76
.78
.80
.82
.84
.86
.88
.90
.92
.94
Holding chest
front
Holding chest
1/3 side
Holding chest
side
Holding chest
1/3 back
Holding chest
back
mean
mean
Maximum value: .93
Minimum value: .83
Holding - Chest
February 2013 10Graduation Thesis Presentation
Result 2
.64
.66
.68
.70
.72
.74
.76
.78
.80
.82
.84
.86
.88
.90
.92
.94
Hitting chest
front
Hitting chest
1/3 side
Hitting chest
side
Hitting chest
1/3 back
Hitting chest
back
mean
mean
Maximum value: .85
Minimum value: .66
Hitting - Chest
February 2013 11Graduation Thesis Presentation
Result 3
.64
.66
.68
.70
.72
.74
.76
.78
.80
.82
.84
.86
.88
.90
.92
.94
Holding waist
front
Holding waist
1/3 side
Holding waist
side
Holding waist
1/3 back
Holding waist
back
mean
mean
Maximum value: .93
Minimum value: .85
Holding - Waist
February 2013 12Graduation Thesis Presentation
Result 4
.64
.66
.68
.70
.72
.74
.76
.78
.80
.82
.84
.86
.88
.90
.92
.94
Hitting waist
front
Hitting waist
1/3 side
Hitting waist
side
Hitting waist
1/3 back
Hitting waist
back
mean
mean
Maximum value: .93
Minimum value: .68
Hitting - Waist
February 2013 13Graduation Thesis Presentation
Discussion
The data as obtained from this study remains
inconclusive as to whether there could be a strict
preference for canonical viewpoints showing three-
quarter views and depth perceptions.
However, preliminary indications suggest that canonical
viewpoints have higher levels of accuracy, along with
some other combinations.
Further analysis of body heights and angular
combinations are required for future studies.
February 2013 14Graduation Thesis Presentation
Conclusion and future work
My main purpose of this study is aimed at carrying
forward the studies performed by Krull et al (2004) and
Krull and Roy (2005).
—  Future work
ü  Various actions
1. Carrying 2. Lifting 3. Pulling 4. Pushing
ü  Differentiate between postures
1. Chair 2. Ball 3. Box 4. Handle
5. Sphere/Triangle
February 2013 15Graduation Thesis Presentation
February 2013 Graduation Thesis Presentation 16
Thank you

Nozawa presentation

  • 1.
    Efficacy of TechnicalIllustrations in a Technical Communication Environment Masato Nozawa (s1170033) Technical Communication Lab University of Aizu February 2013 1Graduation Thesis Presentation
  • 2.
    Overview —  Introduction —  Problem — Method ◦  Research tool ◦  Participants ◦  Data Collection ◦  Data Analysis —  Results —  Discussion —  Conclusion and Future Work February 2013 2Graduation Thesis Presentation
  • 3.
    Introduction —  What ismental imagery? Our general understanding of how different objects functions 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 internal representation of the mind. February 2013 3Graduation Thesis Presentation
  • 4.
    Problem —  How dowe design body/object positions in user manuals most effectively for second language speakers such that a minimalist text approach is viable? —  How do we enhance a motor skill efficiently by using user manual? February 2013 4Graduation Thesis Presentation
  • 5.
    Research tools 1 — Poser Figure Artist software This is used to design body positions and angles. February 2013 5Graduation Thesis Presentation
  • 6.
    Research tools 2 — SPSS software This is a software package used for statistical analysis. In this study, it was used to measure users’ accuracy with different body angles (5 positions), height of the bat and action positions (holding versus hitting). February 2013 6Graduation Thesis Presentation
  • 7.
    Participants ・41 subjects(student ofAizu university). These subjects had no pervious experience with design analysis or perspective studies. February 2013 7Graduation Thesis Presentation
  • 8.
    Data collection ・ 41subjectstook part in the experiment and each subject rated 40 image types, divided into two blocks of 20 each. This study considered only one set of analysis (20 image combinations): Bat positions (holding and hitting; chest and waist height and 5 angular rotations). February 2013 8Graduation Thesis Presentation
  • 9.
    Data Analysis –Mean Accuracy Scores February 2013 9Graduation Thesis Presentation
  • 10.
    Result 1 .64 .66 .68 .70 .72 .74 .76 .78 .80 .82 .84 .86 .88 .90 .92 .94 Holding chest front Holdingchest 1/3 side Holding chest side Holding chest 1/3 back Holding chest back mean mean Maximum value: .93 Minimum value: .83 Holding - Chest February 2013 10Graduation Thesis Presentation
  • 11.
    Result 2 .64 .66 .68 .70 .72 .74 .76 .78 .80 .82 .84 .86 .88 .90 .92 .94 Hitting chest front Hittingchest 1/3 side Hitting chest side Hitting chest 1/3 back Hitting chest back mean mean Maximum value: .85 Minimum value: .66 Hitting - Chest February 2013 11Graduation Thesis Presentation
  • 12.
    Result 3 .64 .66 .68 .70 .72 .74 .76 .78 .80 .82 .84 .86 .88 .90 .92 .94 Holding waist front Holdingwaist 1/3 side Holding waist side Holding waist 1/3 back Holding waist back mean mean Maximum value: .93 Minimum value: .85 Holding - Waist February 2013 12Graduation Thesis Presentation
  • 13.
    Result 4 .64 .66 .68 .70 .72 .74 .76 .78 .80 .82 .84 .86 .88 .90 .92 .94 Hitting waist front Hittingwaist 1/3 side Hitting waist side Hitting waist 1/3 back Hitting waist back mean mean Maximum value: .93 Minimum value: .68 Hitting - Waist February 2013 13Graduation Thesis Presentation
  • 14.
    Discussion The data asobtained from this study remains inconclusive as to whether there could be a strict preference for canonical viewpoints showing three- quarter views and depth perceptions. However, preliminary indications suggest that canonical viewpoints have higher levels of accuracy, along with some other combinations. Further analysis of body heights and angular combinations are required for future studies. February 2013 14Graduation Thesis Presentation
  • 15.
    Conclusion and futurework My main purpose of this study is aimed at carrying forward the studies performed by Krull et al (2004) and Krull and Roy (2005). —  Future work ü  Various actions 1. Carrying 2. Lifting 3. Pulling 4. Pushing ü  Differentiate between postures 1. Chair 2. Ball 3. Box 4. Handle 5. Sphere/Triangle February 2013 15Graduation Thesis Presentation
  • 16.
    February 2013 GraduationThesis Presentation 16 Thank you