Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence (supplementary materials)

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Authors: Kevin Delcourt, Mathieu Renard, Sylvie Trouilhet, Jean-Paul Arcangeli
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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