Phenomenological Observation of Everyday Interactions

OSF Preprints (OSF Preprints) 2026 Preprint

Authors: Kevin Kluge
Cited by: 0

Abstract

A privacy-preserving field method for studying social and AI-mediated behaviors in public spaces. Focuses on relational patterns ("Herr ~65 bonds with staff M1") over personal data, using anonymous descriptors, spatial mapping, and triangulated observer notes. GDPR-compliant for alignment research with vulnerable groups. Validated via Wolfsburg café field studies (2026).

Fields of Study & Subjects

Innovative Human-Technology Interaction Qualitative Research Methods and Ethics Privacy Security and Data Protection

Publication details

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