Abstract
Immersive Analytics (IA) is an emerging research field that leverages advanced datavisualization techniques and mixed reality environments to enable more intuitive and
engaging interactions with complex data. IA has shown promise in various domains,
but one of the key challenges remaining is developing effective transition techniques for users to seamlessly switch between data overviews and details on demand. This is crucial
in glyph-based visualizations, where condensed multivariate data requires balancing
overview with detailed exploration.
This thesis investigates two distinct semantic zoom techniques – Walking Towards
and Distance Grab – within the context of IA. Walking Towards involves users physically
moving closer to data points in a virtual environment to zoom in and access more
detailed information. In contrast, Distance Grab allows users to remain in one position
while using gestures to pull distant data points closer, facilitating a detailed view without
physical movement. Both methods support the transition from overview to detail on
demand but offer distinct user experiences and teask efficiencies.
The user study, involving 5 participants with varying levels of expertise, revealed
that physical walking was preferred for tasks that required a deep understanding of
spatial relationships and exploratory interactions. Participants reported feeling more
connected to the data and found the interaction more intuitive when physically moving
within the immersive space. On the other hand, distance grabbing proved to be more
effective and preferred when participants needed to compare distant data pointsk, as there was no need for constant movement.
These findings contribute to the growing body of research on IA by offering insights into how different interaction techniques impact user engagement, task performance, and overall user experience in immersive environments.
In conclusion, this research emphasizes the potential of Immersive Analytics for data
exploration. By proposing and evaluating two distinct semantic zooming techniques,
this thesis provides practical recommendations for the design of IA experiences and
contributes to the growing body of research.
| Date of Award | 2024 |
|---|---|
| Original language | English (American) |
| Supervisor | Mandy Keck (Supervisor) |