Data for “From Tool Use to Relational Design: How Postphenomenological Human-AI Interactions Shape Creative Problem Solving via Cognitive-Affective Pathways”

Authors: Yunqi Bai
Cited by: 0

Abstract

Anonymized empirical data and statistical analysis codes supporting the findings of the paper "From Tool Use to Relational Design: How Postphenomenological Human-AI Interactions Shape Creative Problem Solving via Cognitive-Affective Pathways". Includes performance scores on creative problem-solving tasks, cognitive load and learning engagement scale data.

Fields of Study & Subjects

Creativity in Education and Neuroscience Design Education and Practice Innovative Human-Technology Interaction

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
9 February 2026
Language
EN
Document type
Preprint