Table 3 Discriminant validity test.

From: A study on user innovative behavior of AI painting tools integrating SOR and Self-Determination theory

 

Creative role identity

Creative self-efficacy

Degree of human-AI Interaction

Perceived playfulness

Social influence

Tool performance

Innovative behavior

CRI1

0.911

0.763

0.613

0.668

0.555

0.685

0.740

CRI2

0.879

0.744

0.606

0.646

0.510

0.648

0.686

CRI3

0.861

0.752

0.517

0.743

0.666

0.696

0.764

CS1

0.636

0.804

0.497

0.603

0.562

0.564

0.656

CS2

0.702

0.826

0.530

0.601

0.486

0.594

0.637

CS3

0.765

0.881

0.609

0.702

0.618

0.668

0.720

CS4

0.760

0.855

0.590

0.715

0.583

0.695

0.732

HA1

0.581

0.602

0.893

0.575

0.564

0.677

0.623

HA2

0.558

0.557

0.867

0.519

0.514

0.622

0.582

HA3

0.594

0.593

0.880

0.593

0.587

0.681

0.641

HA4

0.557

0.571

0.863

0.562

0.543

0.649

0.599

PP1

0.711

0.674

0.564

0.904

0.611

0.683

0.772

PP2

0.728

0.725

0.626

0.917

0.648

0.732

0.782

PP3

0.694

0.742

0.572

0.921

0.654

0.721

0.770

SI1

0.573

0.597

0.535

0.615

0.887

0.663

0.612

SI2

0.545

0.559

0.489

0.602

0.883

0.609

0.553

SI3

0.560

0.557

0.595

0.614

0.822

0.634

0.590

SI4

0.546

0.559

0.521

0.533

0.798

0.620

0.565

TP1

0.671

0.663

0.676

0.680

0.673

0.841

0.703

TP2

0.566

0.552

0.518

0.527

0.521

0.772

0.566

TP3

0.665

0.662

0.610

0.680

0.608

0.878

0.667

TP4

0.671

0.645

0.704

0.698

0.661

0.874

0.682

TP5

0.663

0.649

0.652

0.692

0.674

0.863

0.708

IB1

0.711

0.711

0.583

0.775

0.600

0.703

0.892

IB2

0.752

0.761

0.683

0.760

0.647

0.741

0.920

IB3

0.782

0.744

0.636

0.742

0.602

0.697

0.894

IB4

0.754

0.745

0.627

0.798

0.632

0.719

0.921

  1. Bold letters in the table are loadings, other numbers are cross-loadings.