Mixed Methods Designs for User Studies in Cross Reality

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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.
Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024
EditorsUlrich Eck, Misha Sra, Jeanine Stefanucci, Maki Sugimoto, Markus Tatzgern, Ian Williams
PublisherIEEE
Pages161-165
Number of pages5
ISBN (Electronic)9798331506919
ISBN (Print)979-8-3315-0692-6
DOIs
Publication statusPublished - 25 Oct 2024
Event2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) - Bellevue, WA, USA
Duration: 21 Oct 202425 Oct 2024

Publication series

NameProceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024

Conference

Conference2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Period21.10.202425.10.2024

Keywords

  • Mixed methods
  • qualitative methods
  • quantitative methods
  • user study methodology

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