Sensing, predicting and exploiting consumer visual attention in fast-paced marketing environments

Project Information

CONVISE

Grant agreement ID: 101103256

DOI

10.3030/101103256

Project terminated on 31 October 2024

EC signature date 28 March 2023

Start date 1 October 2023

End date 30 September 2025

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 191 760,00

Coordinated by

UNIVERSITEIT ANTWERPEN
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (3)

One man's trash is another man's treasure: The need of open data and tools for research reproducibility in screen-based eye-tracking marketing experiments

Author(s): Mygdalis, Vasileios; Dens, Nathalie
Published in: European Marketing Academy Conference
Publisher: Zenodo
DOI: 10.5281/ZENODO.14562278

On streamlining data reporting and data sharing practices for promoting research reproducibility in screen-based neuromarketing studies

Author(s): Mygdalis, Vasileios; Oikonomou, Vangelis P.; Georgiadis, Kostas; Kalaganis, Fotis; Nikolopoulos, Spiros; Kompatsiaris, Ioannis (Yiannis); Dens, Nathalie
Published in: International Conference on Research in Advertising
Publisher: Zenodo
DOI: 10.5281/ZENODO.14562228

Implicit Train-Free Calibration for Video-Based Eye-Tracking

Author(s): Vasileios Mygdalis, Nathalie Dens
Published in: 2024 32nd European Signal Processing Conference (EUSIPCO), 2024
Publisher: IEEE
DOI: 10.23919/EUSIPCO63174.2024.10715436