Designing & Evaluating an Intuitive VR Environment for Everyday Tasks
XR Development · Human-Computer Interaction · Human Factors · Experimental Design · Data Analysis
I designed, developed, and evaluated an immersive VR environment to investigate a fundamental HCI question: How intuitive is virtual reality when users perform activities they already understand from everyday life?
I independently developed the project end-to-endfrom research questions and experimental design to the virtual environment, interaction mechanics, participant study, data collection, statistical analysis, and interpretation of results.
The Challenge
Virtual reality can reproduce many physical actions naturally, but users still have to learn an unfamiliar interface: controllers, buttons, teleportation systems, and virtual UI elements.
I wanted to separate two components of VR performance:
Real-world task knowledge: Does knowing how to perform an activity in real life make its VR equivalent intuitive?
Interface knowledge: Do previous gaming/VR experience and explicit training improve performance when users encounter VR-specific interactions?
Designing the Experience
I built a virtual room in Unity for the Oculus Quest 2 and created eight interactive tasks.
Six represented familiar activities:
Two represented interactions unique to virtual environments:
The tasks deliberately incorporated different interaction requirements including object grabbing, two-handed manipulation, controller inputs, locomotion, spatial positioning, and UI interaction.
Experimental Design
I recruited 90 participants and randomly assigned them to one of three onboarding conditions:
No Training: participants received only system and safety information.
Written Instructions: participants received a visual instruction guide explaining controller interactions.
Demonstration: participants received a live demonstration of the same interaction techniques.
I measured task-completion success and completion time while also evaluating user experience using established measures of usability, workload, presence, realism, and simulator sickness.
I also classified participants according to previous VR and video-game experience to investigate whether skills acquired from other interactive systems transferred to VR.
Analysis
I analyzed behavioral and subjective data using methods including:
Data visualization and descriptive statistics
Shapiro-Wilk normality testing
Data transformations
Two-way ANOVA
Interaction effects
Fisher's Exact Test
Cluster analysis
Usability and human-factors scales
I additionally separated daily-life interactions from VR-specific interactions to determine where previous real-world knowledge was sufficient and where users needed to learn the interface itself.
What I Found
Most participants were able to complete the VR activities successfully, with 74 of 90 completing all eight tasks.
For familiar daily-life activities, the type of training participants received did not significantly affect completion time. Previous gaming/VR experience, however, was associated with faster performance.
The pattern changed for VR-specific interactions. Both previous gaming experience and training influenced performance when participants had to use mechanisms such as teleportation and virtual UI interaction.
The results suggested an important design distinction: real-world knowledge can make embodied VR interactions highly intuitive, while interactions created specifically for the virtual interface still benefit from deliberate onboarding and instruction.
What This Project Demonstrates
This project required me to work across the complete development and research lifecycle:
XR Development - Designed and implemented an interactive VR environment and interaction mechanics in Unity.
Human-Centered Design - Designed interactions around human capabilities, task familiarity, usability, safety, and cybersickness.
Experimental Design - Translated research questions into controlled experimental conditions and measurable outcomes.
Human-Subject Research - Designed and executed a 90-participant laboratory study.
Quantitative Analysis - Analyzed behavioral and subjective data using statistical modeling and exploratory techniques.
HCI Research - Investigated learnability, interaction intuitiveness, skill transfer, onboarding, usability, presence, workload, and VR-specific interaction design.
Most importantly, I owned the project from concept to implementation to empirical evaluation, allowing me to connect technical development decisions directly to measurable human behavior.
