guidaeta 0.1.1

Utility tools for handling the guidaeta dataset.

GUIDÆTA

A Versatile Interactions Dataset with extensive Context Information and Metadata

The GUIDÆTA interactions dataset was collected within an online user study in the A+CHIS project on Human-Centered Interactive Adaptive Visual Approaches in High-Quality Health Information, conducted between May 12 and June 23, 2025.

Extensive information on scope, data collection, metadata, preliminary analysis can be found in the respective paper ("GUIDÆTA – A Versatile Interactions Dataset with extensive Context Information and Metadata"), published at Smart Tools and Applications in Graphics (STAG) 2025, an annual international conference organized by the Italian Chapter of the Eurographics association.

The raw dataset is publicly available on OSF: https://osf.io/fhvbm/.

Install

pip install guidaeta

Usage

This repository contains everything necessary for handling the raw dataset. A few selected use cases are given below:

import guidaeta


# The path pointing to the root of the data
DATA_ROOT = "<PATH_TO_YOUR_DATA_ROOT>"

# load everything from files and initialize
sentences, sessions, users, task_answers = guidaeta.load_data(DATA_ROOT)

# get the cognitive load experienced for task two
task_two_answers = [ta for ta in task_answers if ta.task_no==2]
cl = sum([
	sum(ta.cl.scores)/len(ta.cl.scores) for ta in task_two_answers
])/len(task_two_answers)

# get all sessions associated with the 3rd task
s = [s for ta in task_answers for s in ta.sessions if ta.task_no==3]

Contributing

Contributions are welcome!
Feel free to open issues or pull requests at
https://github.com/lenxn/apchis-guidaeta

Acknowledgement

This work was funded by the Austrian Science Fund (FWF) as part of the project 'Human-Centered Interactive Adaptive Visual Approaches in High-Quality Health Information' (A⁺CHIS; Grant No. FG 11-B).

When referring to the dataset please cite:

• S. Lengauer, S.A. von Götz, M.T. Hoesch, F. Steinwidder, M. Tytarenko, M.A. Bedek, T. Schreck, GUIDÆTA - A Versatile Interactions Dataset with extensive Context Information and Metadata, 2025, DOI: 10.2312/stag.202513359.

Bibtex:

@inproceedings{10.2312:stag.20251335,
	booktitle = {Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference},
	editor = {Comino Trinidad, Marc and Mancinelli, Claudio and Maggioli, Filippo and Romanengo, Chiara and Cabiddu, Daniela and Giorgi, Daniela},
	title = {{GUIDÆTA - A Versatile Interactions Dataset with extensive Context Information and Metadata}},
	author = {Lengauer, Stefan and Götz, Sarah Annabelle von and Hoesch, Marie-Therese and Steinwidder, Florian and Tytarenko, Mariia and Bedek, Michael A. and Schreck, Tobias},
	year = {2025},
	publisher = {The Eurographics Association},
	ISSN = {2617-4855},
	ISBN = {978-3-03868-296-7},
	DOI = {10.2312/stag.20251335}
}