Timed Task 4

Inspiration: The project aims to understand how different demographics interact with VR technology and how VR headset performance impacts user experiences like motion sickness and immersion.

Task

VR Headset:
Demographic Analysis of VR Usage: Investigate how different demographics (age, gender) interact with VR technology. 1) Choose one of the following: a) Which demographic is more likely to experience motion sickness
b) Which demographic is more likely to achieve higher immersion levels?
2) VR Headset Performance: Analyze which VR headsets are associated with higher levels of motion sickness. Are certain headsets better suited for longer sessions?
3) Perform cluster analysis to identify distinct groups of users based on their reactions (motion sickness, immersion levels) and usage patterns (duration, choice of VR headset). 4) Use association rule mining to discover interesting relationships between different variables in the dataset. For instance, is there a strong association between certain VR headsets and high levels of immersion or motion sickness?

Objectives:

Investigate demographic interactions with VR, focusing on motion sickness and immersion.
Analyze which VR headsets are linked to motion sickness and longer usage sessions.
Identify user groups based on reactions and usage patterns through cluster analysis.
Discover relationships between variables like VR headsets and user experiences using association rule mining.

Approach:

Data Preparation: Cleaned and preprocessed the dataset for consistency.
Demographic Analysis: Compared different groups statistically and visually.
VR Headset Performance Analysis: Used statistical methods to assess headset associations with motion sickness and usage patterns.
Cluster Analysis: Identified user groups using k-means clustering.
Association Rule Mining: Uncovered relationships between variables using association rule mining.

Challenges:

Data cleaning, interpretation, algorithm selection, and visualization were key challenges.

Accomplishments:

Successfully cleaned and analyzed the dataset.
Applied advanced techniques like machine learning for deeper insights.
Discovered meaningful relationships between VR headsets and user experiences.

Learnings:

Importance of data quality, analysis techniques, and effective communication.
Techniques for demographic analysis and machine learning tasks.

Next Steps:

Refine analysis techniques, explore more data, collaborate with VR developers, and conduct user studies for validation and deeper insights.

Built With

• python