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Open Access

“Can You Handle the Truth?”: Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles

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Files

data.zip (Data of the user study) (3.38 KB)
 generate_paper_plots.ipynb (Jupyter notebook to generate paper plots and results) (144.71 KB)
 ismar_user_study_videos.zip (sample videos of conditions from user study) (729.68 MB)

Date

2025-05-08

Type

Software

Authors

Doula, Achref
Schmidt, Lennart
Mühlhäuser, Max
Sanchez Guinea, Alejandro

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Code and user study dataset for the paper: "“Can You Handle the Truth?”: Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles," 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). The Git repo for this code is: https://gitlab.com/achref.d/cyhtt-ismar23

Keywords

Deep learning, Uncertainty, Visualization

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4583

Endorsement

Related Resources

Is Supplement To
https://doi.org/10.1109/ISMAR59233.2023.00040
Is Part Of
https://gitlab.com/achref.d/cyhtt-ismar23

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren

Project(s)

Faculty

Collections

ISY_datasets

License

CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International
Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International