@inproceedings{2e43950e54874119ba6be2f50991a10e,
title = "Mixed Methods Designs for User Studies in Cross Reality",
abstract = "Mixed methods methodology is a research approach that combines qualitative and quantitative data collection and analysis. This allows to synthesise both types of data for answering the complex research questions posed in cross reality research. However, all research methods have benefits and drawbacks as well as methodological backgrounds. Therefore, we first discuss the underlying foundations of qualitative, quantitative and mixed methods methodology, before looking into how these approaches are applied in cross reality research. Therefore, we selected exemplary published work for each of the methodologies and discuss the research design, as well as limitations and benefits of the used methodologies. After this discussion of real cross reality research designs, we summarise further considerations for the practical application of mixed methods research designs.",
keywords = "Design methodology, Data collection, Augmented reality, Mixed methods, qualitative methods, quantitative methods, user study methodology",
author = "Judith Friedl-Knirsch and Christoph Anthes",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) ; Conference date: 21-10-2024 Through 25-10-2024",
year = "2024",
month = oct,
day = "25",
doi = "10.1109/ISMAR-Adjunct64951.2024.00042",
language = "English",
isbn = "979-8-3315-0692-6",
series = "Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024",
publisher = "IEEE",
pages = "161--165",
editor = "Ulrich Eck and Misha Sra and Jeanine Stefanucci and Maki Sugimoto and Markus Tatzgern and Ian Williams",
booktitle = "Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024",
}