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The f ollowing  slides   show   how many participants are  needed to get a reliable visual analysis of one design
1 Person
Large   improvements  in data quality 2
Large   improvements  in data quality 3
Large   improvements  in data quality 4
Large   improvements  in data quality 5
Large   improvements  in data quality 8
Large   improvements  in data quality 10
Large   improvements  in data quality 12
Large   improvements  in data quality 15
Moderate   improvements  in data quality 17
Moderate   improvements  in data quality 20
Moderate   improvements  in data quality 22
Moderate   improvements  in data quality 25
Moderate   improvements  in data quality 27
Moderate   improvements  in data quality 30
Moderate   improvements  in data quality 32
Small   improvements  in data quality 35
Small   improvements  in data quality 37
Small   improvements  in data quality 40
Small   improvements  in data quality 42
Small   improvements  in data quality 45
Small   improvements  in data quality 47
Small   improvements  in data quality 53
Some claim 8 people are enough to analyze visual attention. Following slides show random sets of 8 people from the same study shown on previous slides.
8 people   Sample A
8 people   Sample B
8 people   Sample C
8 people   Sample D
8 people   Sample E
Heatmaps of random 8 people out of all 53 participants were very different. It means sample of 8 can give a very misleading picture of true visual attention.
Others claim 15 people are enough for visual analysis. How about that?
15 people   Sample A
15 people   Sample B
15 people   Sample C
15 people   Sample D
Variation is still too large for samples of 15 people. What about samples of 30?
30 people   Sample A
30 people   Sample B
CONCLUSION Reliable visual analysis demands samples larger than 30 people

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