AI literacy.

Personal tendency to actively engage with rather than avoid intensive technology interaction; a technology-specific need-for-cognition construct.

General positive attitude toward AI (unidimensional): expected improvement of life, work, future use, and benefit to humanity.

Anxiety toward AI. Four dimensions: Learning, Job Replacement, Sociotechnical Blindness, AI Configuration.

Self-reported AI literacy / user competence in using AI. Four constructs: Awareness, Use, Evaluation, Ethics.

Attitude toward AI. Two factors: Acceptance of AI (positive) and Fear of AI (negative).

General attitude toward AI as a unidimensional evaluation integrating the affective, behavioural and cognitive facets of the tripartite attitude model.

Trust and distrust in automated systems across 12 empirically derived facets including deception, suspicion, harm, confidence, security, integrity, dependability, reliability and familiarity.

Computational thinking as an ability: sequences, loops, conditionals, functions and simple algorithmic problem solving, presented in visual-blocks and arrow notation.

General attitudes toward AI. Two subscales: Positive attitudes (perceived social/personal benefits) and Negative attitudes (concerns).

Self-reported GENERATIVE-AI literacy. Three empirically derived factors: Adaptive Operational Skills (prompt formulation and refinement, tool selection, adaptation to updates, underlying-technology awareness, innovative application), Responsible GenAI Literacy (legal and ethical awareness and conduct, copyright, privacy, bias, disclosure, integrity), Critical Evaluation and Autonomous Use (evaluating accuracy and relevance, recognising limitations and bias, verifying rather than relying, working without the tool).

Objective / performance-based generative-AI literacy (a single latent factor); knowledge + judgement spanning understanding, applying, detecting, ethics, and evaluation of generative AI

User perception of robots and embodied agents on five dimensions: anthropomorphism, animacy, likeability, perceived intelligence, perceived safety.

Self-reported AI literacy + psychological AI competencies. Subscales: AI Literacy (Detect / Apply / Understand / Ethics), Create AI, AI Self-Efficacy (Learning, AI Problem-Solving), AI Self-Competency (Persuasion Literacy, Emotion Regulation).

Negative attitudes toward robots across three subscales: attitudes toward situations of interaction with robots, toward the social influence of robots, toward emotions in interaction with robots.

Self-reported AI literacy for non-experts. Three subscales: Technical Understanding, Critical Appraisal, Practical Application (programming/advanced technical skills explicitly not assessed).

Propensity to embrace new technologies across four dimensions: optimism, innovativeness, discomfort, insecurity.

Perceived threat from AI, measured separately per AI application domain (the development study covers autonomous driving, healthcare and loan/credit decisions).