Replication Data for: Visual Gaze Labeling for Augmented Reality Studies

DOI

This .zip file contains the Unity project of the visualization tool described in the paper "Visual Gaze Labeling for Augmented Reality Studies" which was accepted at EuroVis 2023 Conference. This tool can be used to annotate gaze data from Augmented Reality (AR) scenarios to perform AOI based eye-tracking analysis. The visualization tool consists of a gaze replay and timeline visualization - linked together to provide spatial and image-based annotation. The project includes a dataset that we collected from an AR pilot study.

Please install Unity 2020.3.24 to run the visualization tool. The Unity project contains two scenes (located in Assets/Scenes):

TimelineVisualization GazeReplay

First, drag both scenes into the hierarchy window, then unload GazeReplay. In File/Build Settings, the order of the Scenes in Build should be as follows: TimelineVisualization 0, GazeReplay 1. When you start the active scene (TimelineVisualization), the GazeReplay scene will be loaded as well. You can work with the visualization tool in the game view.

The project consists of an Assets, Packages and ProjectSettings folder. The Assets folder contains the necessary scripts, prefabs and data.

Assets. └── Scenes |── TimelineVisualization # Unity scene for Timeline Visualization |── GazeReplay # Unity scene for Gaze Replay └── Scripts |── AOI_Manager # the code to create AOI cubes in gaze replay |── FileHandler # the code to save annotated gaze data in json file |── Frame # code that contains fixation information |── FrameAnnotator # the code to handle fixation annotation in timeline visualization |── dataHandler # the code to extract gaze data from the csv files └── Streaming Assets |── frames # thumbnail images of the fixations for each participant |── study_data # fixation data of each participant |── RScript # R code to extract fixations from gaze data

Please check the GitHub page for the latest version.

Unity, 2020.3.24

Identifier
DOI https://doi.org/10.18419/darus-3384
Related Identifier IsCitedBy https://doi.org/10.1111/cgf.14837
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3384
Provenance
Creator Öney, Seyda ORCID logo; Pathmanathan, Nelusa ORCID logo; Becher, Michael ORCID logo; Sedlmair, Michael ORCID logo; Weiskopf, Daniel ORCID logo; Kurzhals, Kuno ORCID logo
Publisher DaRUS
Contributor Öney, Seyda; Weiskopf, Daniel; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Kurzhals, Kuno
Publication Year 2023
Funding Reference DFG EXC 2120/1 - 390831618 ; DFG SFB 1244 - 279064222
Rights MIT License; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/MIT.html
OpenAccess true
Contact Öney, Seyda (Universität Stuttgart); Weiskopf, Daniel (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/zip
Size 872439372
Version 1.1
Discipline Other