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Evaluating Interactivity in VR Healthcare Applications Using Analytics.

作者信息

Nicola Stelian, Stoicu-Tivadar Lacramioara

机构信息

Department of Automation and Applied Informatics, University Politehnica Timisoara, Romania.

出版信息

Stud Health Technol Inform. 2020 Jun 26;272:225-228. doi: 10.3233/SHTI200535.

Abstract

Currently, Virtual Reality-based 3D applications are more and more in use. Education is a field that makes use of this technology providing the users with a pleasant way of learning. Thus, the human-computer/smart phone interactivity increases. To measure the human-computer interactivity in a Virtual Reality-based 3D application, certain metrics may be considered (e.g.: application usage time, speed of execution of certain tasks). In this paper we use Google Analytics to observe and measure the interactivity in a medical application created for educational purposes. The application is based on Virtual Reality, and the user may observe and handle the bones of the human skeleton. The main actions monitored via Google Analytics to observe interactivity are: skeleton parts selection, zooming in/zooming out, rotation. An 80% usage percentage (measure of interaction) was achieved for the skeleton selection (foot bones), while for the other actions and selections the achieved percentage was of 100%.

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