Synchronized Mixed Presence Data-Conferencing Using Large-Scale Shared Displays

Abstract

Real world group-to-group collaboration often occurs between partially distributed interdisciplinary teams, with each discipline working in a unique environment suited for its needs. Groupware must be flexible so that it can be incorporated into a variety of workspaces in order to successfully facilitate this type of mixed presence collaboration. We have developed two new techniques for sharing and synchronizing multiuser applications between heterogeneous large-scale shared displays. The first new technique partitions displays into a perfectly mirrored public space and a local private space. The second new technique enables usercontrolled partial synchronization, where different attributes of an application can be synchronized or controlled independently. This paper presents two main contributions of our work: 1) identifying deficiencies in current groupware for interacting with data during mixed presence collaboration, and 2) developing two multiuser data synchronization techniques to address these deficiencies and extend current collaborative infrastructure for large-scale shared displays.

NeuroCave: A web-based immersive visualization platform for exploring connectome datasets

“…Another future goal is to quantitatively assess the impact of VR mode on analysis tasks and empirically investigate the current NeuroCave workflow, which encourages moving between VR and desktop modes. Additionally, we will investigate the use of collaborative VR environments in which multiple users can interact with the same datasets simultaneously (Marrinan et al, 2016 , 2017 ).…”

Enabling collaborative GeoVisual analytics: Systems, techniques, and research challenges

“…This characterization of systems defines four collaborative scenarios (see Figure ). Any combination of these scenarios is a hybrid collaborative scenario [e.g., mixed presence supporting co‐located and distributed participants (Marrinan et al, ) or multi‐synchronous supporting synchronous and asynchronous contributions (Preguiça et al, )]. Already in 2011, Isenberg et al () claimed the need to further research hybrid scenarios in information visualization and raised the expectation of seeing more systems supporting them in the following years.…”

Collaborative geovisual analytics

“…This characterization of the systems defines four collaboration scenarios (See Figure 2.2). Any combination of these scenarios is a hybrid collaboration scenario, e.g., mixedpresence supporting co-located and distributed participants [95,96], or multi-synchronous supporting synchronous and asynchronous contributions [120]. In 2011, Isenberg et al [66] claimed the need to further research hybrid scenarios in information visualization and raise the expectation to see more systems supporting them in the following years.…”

“…A mixed-presence scenario can be described as distributed collaboration among groups of co-located analysts [95,96,82], as shown in Figure 3.9.…”