Classification of Augmented Reality Design Recommendations on User Experience Dimensions: Preliminary Study Results

Stefan Graser, Jessica Kollmorgen, Martin Schrepp, María J. Escalona, Stephan Böhm

2025

Abstract

Augmented Reality (AR) in Corporate Training (CT) enables immersive and interactive learning scenarios, resulting in a new user experience (UX). Within software development, UX is a crucial success factor. While numerous AR-specific design recommendations exist, it remains unclear how these contribute to the actual user experience perceived by learners. This misalignment between intended and actual UX highlights the challenge for AR authors. Concerning UX evaluation, questionnaires can be used to collect data from target groups and produce reliable quantitative data describing UX quality. However, a questionnaire should not include too many items to capture the UX impression of users to avoid being too time-consuming. Since UX questionnaires typically capture only high-level impressions, their results often do not provide clear suggestions for designers or developers on how to improve an application. Linking design recommendations to questionnaire scales would help connect UX evaluation results more directly to design changes that are likely to improve users’ UX impressions. We describe a study establishing such a mapping for the application domain of AR in corporate training. Preliminary results provide an initial classification of AR design recommendations across relevant UX dimensions.

Paper Citation

in Harvard Style

Graser S., Kollmorgen J., Schrepp M., Escalona M. and Böhm S. (2025). Classification of Augmented Reality Design Recommendations on User Experience Dimensions: Preliminary Study Results. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-772-6, SciTePress, pages 511-520. DOI: 10.5220/0013778000003985

in Bibtex Style

@conference{webist25,
author={Stefan Graser and Jessica Kollmorgen and Martin Schrepp and María Escalona and Stephan Böhm},
title={Classification of Augmented Reality Design Recommendations on User Experience Dimensions: Preliminary Study Results},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2025},
pages={511-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013778000003985},
isbn={978-989-758-772-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Classification of Augmented Reality Design Recommendations on User Experience Dimensions: Preliminary Study Results
SN - 978-989-758-772-6
AU - Graser S.
AU - Kollmorgen J.
AU - Schrepp M.
AU - Escalona M.
AU - Böhm S.
PY - 2025
SP - 511
EP - 520
DO - 10.5220/0013778000003985
PB - SciTePress