Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence (supplementary materials)
Abstract
This repository contains the supplementary materials for the paper: Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence It includes the following files: demonstration.mp4 – A video showcasing the execution of the first user study, illustrating participant interaction with OCE within the simulated ambient environment. supplementary_materials.pdf – Additional information on the user studies, including detailed descriptions of participant tasks and the USE questionnaire used. replication_package.zip – A Python project containing all data collected during the user studies, along with the scripts required to reproduce the statistical analyses, figures, and tables reported in the paper.
Fields of Study & Subjects
Innovative Human-Technology Interaction
Interactive and Immersive Displays
Context-Aware Activity Recognition Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026
- Document type
- Dataset