Skip to main content

Table 3 Results from Type- III factorial ANOVA for explanation satisfaction scales (n = 113)

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

  Time (week) Explanation Explanation: time
Satisfaction F (2,218) = 126.52
p < 0.001
ηp2 = 0.25
F (3,109) = 1.97
p = 0.12
ηp2 = 0.04
F (6,218) = 8.01
p < 0.001
ηp2 = 0.06
Sufficiency F (2,218) = 114.65
p < 0.001
ηp2 = 0.25
F (3,109) = 3.38
p = 0.02
ηp2 = 0.06
F (6,218) = 8.78
p < 0.001
ηp2 = 0.07
Completeness F (2,218) = 104.24
p < 0.001
ηp2 = 0.24
F (3,109) = 4.85
p = 0.003
ηp2 = 0.08
F (6,218) = 6.54
p < 0.001
ηp2 = 0.06
Usefulness F (2,218) = 110.36
p < 0.001
ηp2 = 0.25
F (3,109) = 0.82
p = 0.49
ηp2 = 0.02
F (6,218) = 5.06
p < 0.001
ηp2 = 0.05
Accuracy F (2,218) = 88.26
p < 0.001
ηp2 = 0.20
F (3,109) = 9.95
p < 0.001
ηp2 = 0.16
F (6,218) = 8.14
p < 0.001
ηp2 = 0.07
Trust F (2,218) = 64.71
p < 0.001
ηp2 = 0.16
F (3,109) = 4.71
p < 0.001
ηp2 = 0.08
F (6,218) = 4.10
p < 0.001
ηp2 = 0.04
  1. Time and explanation refer to the main effects and Explanation: Time refers to the interaction between these independent variables