Efficacy of Technical Illustrations in a Technical Communication Environment Masato Nozawa (s1170033) Technical Communication Lab University of Aizu February 2013 1 Graduation Thesis Presentation
Efficacy of Technical Illustrations in a Technical Communication
Environment Masato Nozawa (s1170033)
Technical Communication Lab
University of Aizu
February 2013 1 Graduation Thesis Presentation
Overview � Introduction � Problem � Method ◦ Research tool ◦ Participants ◦ Data Collection ◦ Data Analysis
� Results � Discussion � Conclusion and Future Work
February 2013 2 Graduation 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.
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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?
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Research tools 1 � Poser Figure Artist software This is used to design body positions and
angles.
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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).
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Participants ・41 subjects(student of Aizu university).
These subjects had no pervious experience with design analysis or perspective studies.
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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).
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Data Analysis – Mean Accuracy Scores
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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
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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
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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
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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 13 Graduation 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 14 Graduation 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
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Thank you