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Nova · Professor Researcher · re-ranking top 20…

Michelle Aebersold

Verified

University of Michigan · Information

Active 1996–2024

h-index23
Citations2.0k
Papers8825 last 5y
Funding$420k
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Research topics

  • Computer Science
  • Human–computer interaction
  • Artificial Intelligence
  • Medicine
  • Simulation
  • Operations management
  • Data science
  • Medical education
  • Family medicine
  • Nursing

Selected publications

  • Improving Pediatric Readiness in General Emergency Departments: A Prospective Interventional Study

    The Journal of Pediatrics · 2020 · 37 citations

    • Medicine
    • Family medicine
    • Nursing
  • Enhancing stroke assessment simulation experience in clinical training using augmented reality

    Virtual Reality · 2020 · 60 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Simulation
  • MRAT: The Mixed Reality Analytics Toolkit

    2020 · 59 citations

    • Computer Science
    • Computer Science
    • Human–computer interaction

    Significant tool support exists for the development of mixed reality (MR) applications; however, there is a lack of tools for analyzing MR experiences. We elicit requirements for future tools through interviews with 8 university research, instructional, and media teams using AR/VR in a variety of domains. While we find a common need for capturing how users perform tasks in MR, the primary differences were in terms of heuristics and metrics relevant to each project. Particularly in the early project stages, teams were uncertain about what data should, and even could, be collected with MR technologies. We designed the Mixed Reality Analytics Toolkit (MRAT) to instrument MR apps via visual editors without programming and enable rapid data collection and filtering for visualizations of MR user sessions. With MRAT, we contribute flexible interaction tracking and task definition concepts, an extensible set of heuristic techniques and metrics to measure task success, and visual inspection tools with in-situ visualizations in MR. Focusing on a multi-user, cross-device MR crisis simulation and triage training app as a case study, we then show the benefits of using MRAT, not only for user testing of MR apps, but also performance tuning throughout the design process.

Recent grants

Frequent coauthors

  • Dana Tschannen

    38 shared
  • Mary Jo Kocan

    10 shared
  • Antonia M. Villarruel

    University of Pennsylvania

    7 shared
  • Kamal Abulebda

    Indiana University Indianapolis

    5 shared
  • Christopher R. Friese

    5 shared
  • Betsy Cambridge

    Concordia University Ann Arbor

    5 shared
  • Laura González

    Universidad Autónoma de Madrid

    5 shared
  • Suzan Kardong‐Edgren

    MGH Institute of Health Professions

    5 shared

Education

  • PhD, Nursing

    University of Michigan

    2008
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