Evaluating a Metahuman-Integrated Computer-Based Training Tool for Nursing Interventions: Usability and Expert Heuristic Analysis

Advances in immersive technologies, such as Metahuman Creator integrated with Unreal Engine, offer new opportunities for interactive and realistic digital learning in nursing education. While computer-based training (CBT) has demonstrated benefits for self-directed learning, limited research has examined the usability and reliability of Metahuman-based digital textbooks (DTs) in clinical nursing education. This study aims to evaluate the usability of a Metahuman-based CBT DT for nursing interventions using a multi-method approach combining user testing and expert heuristic evaluation. A total of 12 undergraduate nursing students and 4 nursing education experts used the program, which included two clinical scenarios (nursing care for ileus and upper gastrointestinal bleeding), and completed the user version of the Mobile App Rating Scale (uMARS). Experts conducted a heuristic evaluation based on eight mobile usability principles. Quantitative data were analyzed using descriptive statistics, and qualitative feedback was evaluated through inductive content analysis. The students rated the overall usability as high (mean uMARS score = 4.25/5), particularly for layout and graphics. Experts provided moderately positive ratings (mean = 3.71/5) but identified critical issues in error prevention, consistency, and user control. Qualitative feedback emphasized the need for automatic data saving, clearer navigation, improved credibility of information sources, and enhanced interactivity.