ViewerCentric: Visualization engineering towards a tool for media discoverability

This ongoing project sees researchers from OCAD’s Visual Analytics Lab working closely with Magnify Digital. It applies data analytics strategies and visualization best practices to the development of ViewerCentric, a visualization dashboard that allows users in the film, television, and media distribution sectors to understand complex data sets.

The data sets include streaming social media data and static data related to consumer habits. Visualization of this complex data helps content creators to better understand their audiences, increasing their discoverability.

A key component of this research is finding ways of combining multiple data sets and presenting the results in an actionable way. The ViewerCentric interface provides its users with the means to develop effective and measurable, online marketing strategies; find and assess audiences, identify opportune channels for reaching these, and evaluate messaging, funding and advertising opportunities and reports that can be submitted to funders, broadcasters, sponsors, and stakeholders.

Researchers will extend the system to other cultural content that has or could have a digital component or tag such as visual art, live entertainment, music and publishing - supporting its discoverability and user analytics. Currently editors and independent producers rely on hunches and creative vision without understanding the varied demographic differences of their audiences into account, while advertising agencies and brands primarily consider data. The objective is to help cultural industries and not-for-profits monetize content and balance personalization, market drivers and editorial direction.



We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).
Cette recherche a été financée par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG).

Friday, May 18, 2018 - 1:30pm
Lab Member: 
Sana Shepko
Jad Rabbaa
Afrooz Samaei
Marcus A. Gordon
Dr. Steve Szigeti
Dr. Sara Diamond


Digital Holography is at the top of 3-D visualization techniques because it is auto-stereoscopic and does not require a computer to view. It also contains many of the visual cues to the brain that we receive when viewing real-world objects and scenes.

Data visualization has often been limited to 2-D imagery even though the original data is obtained three-dimensionally. DECI (Dynamic Electrical Cortical Imaging) uses EEG data sets to create a dimensional visualization constructed from nodes that localize brain activity. In particular, responses to stimuli. Recordings have been made with subjects listening to music, meditating and sleeping.

Our research will attempt to explain the methods, flow and experiments used to formulate a holographic printing process.

Challenges to overcome include:

(1) creating a brain model in a commercially standard 3-D format, 

(2) integrate this model into a standardized hologram printing format, and

(3) creating a blueprint of an experimental software to facilitate this workflow today and in the future. 


We set out to data sets recorded by Dr. Doidge and his team could be accurately translated into camera ready artwork for two distinct types of holographic printers. One from the PHASE Research Group and a commercial  service bureau, STM Holographic.

These holograms not only represent the data in 3-D, they also relay time-based data, changes in electrical activity in the brain over time.


In collaboration with Mark Diodge, a scientist in the field of brain imaging at Cerebral Diagnostics Canada Inc., the PHASE research group is developing an interface to bring these compelling images into the medium of digital holography.

Digital Holography - Brian Hologram Banner
Monday, January 26, 2015 - 6:30pm
Lab Member: 
Michael Page