Datasets for: Applying Psychological Theories to Intelligent Interfaces for Hyperpersonalization — A Systematic Literature Review

Overview. This record aggregates two complementary datasets supporting the systematic review Applying Psychological Theories to Intelligent Interfaces for Hyperpersonalization: (i) a bibliographic corpus filtered from Scopus and Web of Science (year 2024 or ≥10 citations at retrieval), and (ii) the author-coded eligibility assessments with thematic categorization. Together they document the full pipeline from corpus construction to interpretive screening and coding, enabling transparency and reusability. Files. Bibliographic corpus (CSV + data dictionary + README) and eligibility assessments (CSV + data dictionary + README), plus LICENSE and CITATION. All CSVs are UTF-8, LF, comma-delimited (RFC 4180). Notes. Bibliographic fields (e.g., citation counts) reflect the retrieval date and may change over time. Long abstracts may be limited due to database licensing. The eligibility annotations are interpretive and reflect the author’s scholarly judgment. Acknowledgment: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001.