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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