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Task Collaboration Virtual Wall Media Reviewer Video in Sync Annotations

 

Media Reviewer

 
     
     
  Keywords: Digital Ethnography, Annotating User Studies, Data Mining, Annotation Track, Movie Track, Logging Track, Rapid Event Filter, Overlap Filter, Following Filter  
     
 

The Interactive Cognition Lab, in collaboration with Dave Nadeau of the San Diego Supercomputer Center, has designed the Media Reviewer to help researchers review, annotate, and analyze data collected during a user study.

 

Software Demo


Watch a demo of how the Media Reviewer allows you to review, analyze, and annotate a user study.

37.1MB AVI (PC)
71.0MB MOV (MAC)
16.1MB MP4 (MAC)

 

 

 

Tracks
The tool arranges data events along a horizontal timeline. An event may note when a subject spoke, gestured, used a program or took action. Each event describes what action occurred and when. Events are arranged along horizontal tracks which can be grouped together and shown or hidden as a unit. There are several types of tracks supported by the Media Reviewer.

An annotation track shows events authored by the researcher.
A movie track automatically creates its events by detecting when a subject is speaking. Each movie in its track can be played. When there are several movie tracks, all the movies can be played at the same time and in sync.
A logging track automatically creates a group of tracks with events read from a computer activity log. The log’s events record a subject’s keystrokes, webpage selections, and application use.
Viewing Tracks
View all tracks at once...
Or zoom in to view a single track.

 

 

Filters for Analyzing Data
To analyze data, the Media Reviewer provides a large selection of data mining filters. Each filter scans one or more tracks to find events that match a pattern.

The rapid event filter detects a quick series of events. This can highlight rapid action such as a subject quickly clicking through a chain webpages.
An overlap filter detects simultaneous activity.
A following filter detects when events on one track follow events on another. The same filter can highlight when one subject follows another’s lead.

Additional filters detect simultaneous and disjoint events, chains of alternating activity, and times when nothing happens at all. Filters can be used in combination to detect complex interactions.

Using Filters
The Media Reviewer allows you to find out if one subject is following the actions of another subject.

 

 
 

The Media Reviewer is a powerful tool for annotating and analyzing data to reveal patterns in the way we act and interact.

 

 
     
     
  Project Team  
 
 
David Kirsh
(202) 623-3624
Office: CSB173
kirsh@ucsd.edu
 
Dave Nadeau
Office: SDSC