Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?

Abstract

High-quality immersive display technologies are becoming mainstream with the release of head-mounted displays (HMDs) such as the Oculus Rift. These devices potentially represent an affordable alternative to the more traditional, centralised CAVE-style immersive environments. One driver for the development of CAVE-style immersive environments has been collaborative sense-making. Despite this, there has been little research on the effectiveness of collaborative visualisation in CAVE-style facilities, especially with respect to abstract data visualisation tasks. Indeed, very few studies have focused on the use of these displays to explore and analyse abstract data such as networks and there have been no formal user studies investigating collaborative visualisation of abstract data in immersive environments. In this paper we present the results of the first such study. It explores the relative merits of HMD and CAVE-style immersive environments for collaborative analysis of network connectivity, a common and important task involving abstract data. We find significant differences between the two conditions in task completion time and the physical movements of the participants within the space: participants using the HMD were faster while the CAVE2 condition introduced an asymmetry in movement between collaborators. Otherwise, affordances for collaborative data analysis offered by the low-cost HMD condition were not found to be different for accuracy and communication with the CAVE2. These results are notable, given that the latest HMDs will soon be accessible (in terms of cost and potentially ubiquity) to a massive audience.

Asymetric telecollaboration in virtual reality

“…Most of past work use CAVE systems for telecollaboration (e.g., [3]). The pros and cons of a two-person collaboration in a CAVE or with two HMDs for collaborative visualization of abstract data has been explored [1], showing comparable experiences in both systems, however, here, we do not look at comparing two systems, but at combining two different systems together, on a concrete task. Heldal et al evaluated collaboration for solving a puzzle [5] but limited to evaluate the performance of two persons together, without knowing the performance of a person alone.…”

3D-Stereoscopic Immersive Analytics Projects at Monash University and University of Konstanz

“…These results are notable, given that the latest HMDs will soon be accessible (in terms of cost and potentially ubiquity) to a massive audience. We followed up this study by establishing a series of prototypes, concepts and guide lines for remote collaborative visualization in the context of Air Traffic Control and Management data [32].…”

Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation

“…In comparison, VR experienced through a head-mounted display (HMD) is even more effective than the immersive environment of CAVElike solutions [11]. For instance, users could collaboratively analyze graph connectivity significantly faster using HMDs than in a CAVE-like environment [12]. Similar benefits have been shown for 3D scatterplots: an immersive VR setup could increase classification accuracy and led to higher engagement by the users compared to 2D and 3D desktop rendering [13], [14].…”