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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