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Table 1 Results from Type-III factorial ANOVA for explanation satisfaction scales (n = 80)

From: Examining the effect of explanation on satisfaction and trust in AI diagnostic systems

  Time (week) Explanation Explanation: time
Satisfaction F (5,385) = 8.20
p < 0.001
ηp2 = 0.04
F (2,77) = 0.54
p = 0.58
ηp2 = 0.01
F (10,385) = 2.28
p = 0.01
ηp2 = 0.02
Sufficiency F (5,385) = 7.52
p < 0.001
ηp2 = 0.03
F (2,77) = 1.63
p = 0.20
ηp2 = 0.03
F (10,385) = 3.14
p < 0.001
ηp2 = 0.03
Completeness F (5,385) = 6.20
p < 0.001
ηp2 = 0.03
F (2,77) = 2.95
p = 0.06
ηp2 = 0.04
F (10,385) = 2.28
p = 0.01
ηp2 = 0.02
Usefulness F (5,385) = 11.27
p < 0.001
ηp2 = 0.06
F (2,77) = 0.95
p = 0.39
ηp2 = 0.01
F (10,385) = 2.83
p = 0.002
ηp2 = 0.03
Accuracy F (5,385) = 17.40
p < 0.001
ηp2 = 0.08
F (2,77) = 4.16
p = 0.02
ηp2 = 0.06
F (10,385) = 2.18
p = 0.02
ηp2 = 0.02
Trust F (5,385) = 13.31
p < 0.001
ηp2 = 0.07
F (2,77) = 3.03
p = 0.05
ηp2 = 0.04
F (10,385) = 0.87
p = .0.50
ηp2 = 0.01
  1. Time and explanation refer to the main effects and Explanation: Time refers to the interaction between these independent variables