Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation

Bilal Maqbool, Laoa Jalal, Sebastian Herold

2024

Abstract

Effective usability evaluation of user interface (UI) designs is essential. Particularly in digital healthcare, frequently involving relevant user groups in usability evaluations is not always possible or is ethically questionable. On the other hand, neglecting the perspectives of such groups can lead to UI designs that fail to be inclusive and adaptable. In this paper, we outline an initial idea to utilize artificial intelligence methods to simulate mobile user interface interactions of such user groups. The goal is to support software developers and designers with tools that show them how users of certain user groups might interact with a user interface under development and show potential issues before actual, more expensive usability evaluations are conducted. We present a study that employs synthetic representations of user interactions with UI elements based on a small sample of real interactions. This synthetic data was then used to train a classification model predicting whether real user interactions were from younger or elderly persons. The good performance of this model provides evidence that synthetic user interface interactions might be accurate enough to feed into imitation learning approaches, which, in turn, could be the foundation for the desired tool support.

Paper Citation

in Harvard Style

Maqbool B., Jalal L. and Herold S. (2024). Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 595-603. DOI: 10.5220/0012427600003657

in Bibtex Style

@conference{healthinf24,
author={Bilal Maqbool and Laoa Jalal and Sebastian Herold},
title={Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={595-603},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012427600003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation
SN - 978-989-758-688-0
AU - Maqbool B.
AU - Jalal L.
AU - Herold S.
PY - 2024
SP - 595
EP - 603
DO - 10.5220/0012427600003657
PB - SciTePress