CREATTIVE3D multimodal dataset of user behavior in virtual reality
Fuente:
Zenodo
Enregistré dans:
| Auteurs principaux: | , , , , , |
|---|---|
| Format: | Recurso digital |
| Publié: |
Zenodo
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866902296050270208 |
|---|---|
| author | Hui-Yin Wu Florent Robert Lucile Sassatelli Marco Winckler Auriane Gros Stephen Ramanoël |
| author_facet | Hui-Yin Wu Florent Robert Lucile Sassatelli Marco Winckler Auriane Gros Stephen Ramanoël |
| contents | <p>In the context of the <a href="https://project.inria.fr/creattive3d/">ANR CREATTIVE3D</a> project, we join the expertise of computer science, neuroscience, and clinical practitioners, with the aim to analyze the impact that a simulated low-vision condition has on user navigation behavior in complex road crossing scenes: a common daily situation where the difficulty to access and process visual information (e.g., traffic lights, approaching cars) in a timely fashion can lead to serious consequences on a person's safety and well-being. As a secondary objective, we also aim to investigate the potential role virtual reality could play in rehabilitation and training protocols for low-vision patients.</p> <p>This dataset contains the data as part of the study described in <a href="https://hal.science/hal-04102737">An Integrated Framework for Understanding Multimodal Embodied Experiences in Interactive Virtual Reality</a>.</p> <p>The dataset is metadata for the pre-print <a href="https://inria.hal.science/hal-04429351">Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset</a></p> <p>To use this dataset, please cite:</p> <blockquote> <pre>@article{wu2025exploring, title={Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset}, author={Wu, Hui-Yin and Robert, Florent and Gallo, Franz Franco and Pirkovets, Kateryna and Qu{\'e}r{\'e}, Cl{\'e}ment and Delachambre, Johanna and Ramano{\"e}l, Stephen and Gros, Auriane and Winckler, Marco and Sassatelli, Lucile and others}, journal={Scientific Data}, volume={12}, number={1}, pages={330}, year={2025}, publisher={Nature Publishing Group UK London} }<br><br>@inproceedings{robert2023integrated, title={An integrated framework for understanding multimodal embodied experiences in interactive virtual reality}, author={Robert, Florent and Wu, Hui-Yin and Sassatelli, Lucile and Ramanoel, Stephen and <br> Gros, Auriane and Winckler, Marco}, booktitle={Proceedings of the 2023 ACM International Conference on Interactive Media Experiences}, pages={14--26}, year={2023} }</pre> </blockquote> <h3> </h3> <h3>Versions</h3> <p>2024-12-18: Updated readme with description of labels, columns, and suggestions on how to start exploring the dataset. We also provide the questionnaire responses and observation notes in English (questionnaire_translation_EN.csv).</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14514163 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CREATTIVE3D multimodal dataset of user behavior in virtual reality Hui-Yin Wu Florent Robert Lucile Sassatelli Marco Winckler Auriane Gros Stephen Ramanoël virtual reality low vision gaze tracking physiology motion capture road crossing <p>In the context of the <a href="https://project.inria.fr/creattive3d/">ANR CREATTIVE3D</a> project, we join the expertise of computer science, neuroscience, and clinical practitioners, with the aim to analyze the impact that a simulated low-vision condition has on user navigation behavior in complex road crossing scenes: a common daily situation where the difficulty to access and process visual information (e.g., traffic lights, approaching cars) in a timely fashion can lead to serious consequences on a person's safety and well-being. As a secondary objective, we also aim to investigate the potential role virtual reality could play in rehabilitation and training protocols for low-vision patients.</p> <p>This dataset contains the data as part of the study described in <a href="https://hal.science/hal-04102737">An Integrated Framework for Understanding Multimodal Embodied Experiences in Interactive Virtual Reality</a>.</p> <p>The dataset is metadata for the pre-print <a href="https://inria.hal.science/hal-04429351">Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset</a></p> <p>To use this dataset, please cite:</p> <blockquote> <pre>@article{wu2025exploring, title={Exploring, walking, and interacting in virtual reality with simulated low vision: a living contextual dataset}, author={Wu, Hui-Yin and Robert, Florent and Gallo, Franz Franco and Pirkovets, Kateryna and Qu{\'e}r{\'e}, Cl{\'e}ment and Delachambre, Johanna and Ramano{\"e}l, Stephen and Gros, Auriane and Winckler, Marco and Sassatelli, Lucile and others}, journal={Scientific Data}, volume={12}, number={1}, pages={330}, year={2025}, publisher={Nature Publishing Group UK London} }<br><br>@inproceedings{robert2023integrated, title={An integrated framework for understanding multimodal embodied experiences in interactive virtual reality}, author={Robert, Florent and Wu, Hui-Yin and Sassatelli, Lucile and Ramanoel, Stephen and <br> Gros, Auriane and Winckler, Marco}, booktitle={Proceedings of the 2023 ACM International Conference on Interactive Media Experiences}, pages={14--26}, year={2023} }</pre> </blockquote> <h3> </h3> <h3>Versions</h3> <p>2024-12-18: Updated readme with description of labels, columns, and suggestions on how to start exploring the dataset. We also provide the questionnaire responses and observation notes in English (questionnaire_translation_EN.csv).</p> |
| title | CREATTIVE3D multimodal dataset of user behavior in virtual reality |
| topic | virtual reality low vision gaze tracking physiology motion capture road crossing |
| url | https://doi.org/10.5281/zenodo.14514163 |