<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Survey Data on Adolescent Adoption of Intelligent Sports Assistance Robots</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/JOQJXX</dcterms:identifier><dcterms:creator>Feng, Aojie</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2026-06-05</dcterms:issued><dcterms:modified>2026-06-05T19:32:52Z</dcterms:modified><dcterms:description>All human subject data contained in this dataset have been fully anonymized prior to submission. Any direct or indirect personal identifiers (including but not limited to names, specific dates, contact information, and detailed geographic data) have been removed or masked to ensure participant privacy and compliance with research ethics regulations.

The study investigates the psychological and behavioral mechanisms—specifically the interplay of TAM, SDT, and EDD frameworks—influencing adolescents' intention to adopt Intelligent Sports Assistance Robots (ISARs).

The dataset includes responses from 587 adolescents in Mainland China, covering variables such as Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Autonomy (AUT), Competence (COMP), Emotional Connection (EC), Intrinsic Motivation (IM), and Behavioral Intention (BI). The data was used for Partial Least Squares Structural Equation Modeling (PLS-SEM), Multi-Group Analysis (PLS-MGA), and fuzzy-set Qualitative Comparative Analysis (fsQCA).</dcterms:description><dcterms:subject>Arts and Humanities</dcterms:subject><dcterms:date>2026-06-05</dcterms:date><dcterms:contributor>Feng, Aojie</dcterms:contributor><dcterms:dateSubmitted>2026-06-04</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>