An analysis of the differences in behaviors within a VR learning environment for singles and pairs

Presentation Type

Abstract

Faculty Advisor

Elliot Hu-Au

Access Type

Event

Start Date

25-4-2025 10:30 AM

End Date

25-4-2025 11:29 AM

Description

This study examines the behavioral differences between individuals and pairs of participants engaging with a virtual reality (VR) neuroscience learning application, the VR brainTime app. As VR technology evolves into a social learning tool, understanding how behaviors shift between solo and multiplayer modes is critical for optimizing educational outcomes. In this research, participants will first interact individually with the VR app, followed by a collaborative multiplayer session. Behavioral observations, quiz performance, and self-reported experiences will be collected to assess focus, engagement, and task-oriented behaviors in both settings. The study aims to determine whether significant behavioral differences emerge between the two interaction modes and provide actionable insights for educators and developers to enhance VR learning environments.

Comments

Poster presentation at the 2025 Student Research Symposium.

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Apr 25th, 10:30 AM Apr 25th, 11:29 AM

An analysis of the differences in behaviors within a VR learning environment for singles and pairs

This study examines the behavioral differences between individuals and pairs of participants engaging with a virtual reality (VR) neuroscience learning application, the VR brainTime app. As VR technology evolves into a social learning tool, understanding how behaviors shift between solo and multiplayer modes is critical for optimizing educational outcomes. In this research, participants will first interact individually with the VR app, followed by a collaborative multiplayer session. Behavioral observations, quiz performance, and self-reported experiences will be collected to assess focus, engagement, and task-oriented behaviors in both settings. The study aims to determine whether significant behavioral differences emerge between the two interaction modes and provide actionable insights for educators and developers to enhance VR learning environments.