Published January 28, 2023
| Version icse23-rep-pack-v1
Software
Open
A Replication Package for: AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces
Authors/Creators
- 1. George Mason University
- 2. Duke University
Description
This repository contains the replication package of the ICSE'23 paper:
S M Hasan Mansur, Sabiha Salma, Damilola Awofisayo, and Kevin Moran, “AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces,” in Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023), 2023, to appear
This replication package includes three main parts which we discuss in details in later sections:
- Part 1: A README file containing instructions on how to run AidUI.
- Part 2: The Source Code of AidUI "AidUI-Code.tar.gz"
- Part 3: A Dockerfile containing a runnable version of AidUI "aidui-img.tar.gz"
- Part 4: The Datasets for AidUI. The Evaluation Dataset is contained within the "AidUI-Code.tar.gz" file, and the Object Detection Dataset is contained within the "AidUI-Object-Detection-Dataset-Master.tar.gz" file.
- Part 5: The Pre-trained Visual Cue Detection Model "trained-visual-cue-detection-model.pth"
- Part 6: The AidUI DP Taxonomy
Files
README.md
Files
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