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This content will become publicly available on November 2, 2025

Title: Enhancing Nursing Assistant Attitudes Towards Geriatric Caregiving through Transmodal Ordered Network Analysis
In this work, we investigate the application of Transmodal Ordered Network Analysis (TONA) to analyze and visualize geriatric caregiving attitudes, aiming to enhance caregiver perceptions through an immersive VR simulation. Specifically, my research focuses on three main objectives: (1) identifying disparities between real-life caregiving experiences and previous training, (2) improving our VR training by integrating findings from the initial phase and (3) conducting a detailed TONA within the VR simulation. The first two objectives have been almost addressed, setting a strong foundation for the most crucial part of my research. The third objective involves a detailed analysis using TONA, utilizing gaze data, facial expressions, conversational dialogues, and embodiment data to monitor changes in caregiver attitudes within the immersive simulation featuring a virtual geriatric patient. Merging these diverse data types into a unified analysis presents challenges due to the complexities of multimodal data integration. Therefore, a key aspect of my thesis is enhancing methodologies to incorporate multichannel data analysis in TONA. The findings of this thesis are expected to make a significant contribution to the fields of nursing education, quantitative ethnography, and human-computer interaction.  more » « less
Award ID(s):
2321274
PAR ID:
10555543
Author(s) / Creator(s):
Editor(s):
Kim, YJ; Swiecki, Z
Publisher / Repository:
Sixth International Conference on Quantitative Ethnography: Conference Proceedings Supplement
Date Published:
Subject(s) / Keyword(s):
Epistemic Network Analysis Nursing Education Multimodal Data Virtual Reality Transmodal Ordered Network Analysis
Format(s):
Medium: X
Location:
Philadelphia, PA, USA
Sponsoring Org:
National Science Foundation
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