3.8 Proceedings Paper

Matching vs. Non-Matching Visuals and Shape for Embodied Virtual Healthcare Agents

Publisher

IEEE
DOI: 10.1109/vr.2019.8797814

Keywords

Human-centered computing-Human computer interaction (HCI)-HCI design and evaluation methods-User studies; Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Mixed / augmented reality

Funding

  1. NSF [1564065]
  2. RADM IITSEC committee
  3. Link Foundation
  4. UCF Modeling and Simulation graduate program
  5. AdventHealth

Ask authors/readers for more resources

Embodied virtual agents serving as patient simulators are widely used in medical training scenarios, ranging from physical patients to virtual patients presented via virtual and augmented reality technologies. Physical-virtual patients are a hybrid solution that combines the benefits of dynamic visuals integrated into a human-shaped physical form that can also present other cues, such as pulse, breathing sounds, and temperature. Sometimes in simulation the visuals and shape do not match. We carried out a human-participant study employing graduate nursing students in pediatric patient simulations comprising conditions associated with matching/non-matching of the visuals and shape.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available