Abstract
Motivated by recent developments in the fields of big data and virtual reality, this study focuses on the application of today’s virtual reality methods when visually interpreting three-dimensional cluster analyses. We give an introduction to the capabilities of the human visual system, as well as illustrating how the choice of output device can impact the effectiveness of a visualization. We also outline relevant prior research, which mainly concerns the application of hybrid reality methods. To empirically evaluate the impact of today’s virtual reality methods, we focused on five cases and conducted an experiment with 74 participants. We found that using the virtual reality output device increased on average the participant’s performance in each of the five cases, with a significant positive impact in three of the five cases. We conclude by posing some interesting questions for future research.
Recommended Citation
Klose, Patrick; Eckhardt, Andreas; and Rohrdrommel, Michael, "The Impact of Virtual Reality on the Effectiveness of Visual Cluster Analysis as a Method for Analyzing Big Data" (2017). PACIS 2017 Proceedings. 124.
https://aisel.aisnet.org/pacis2017/124