VIDEO GAME TAXONOMY & ONTOLOGY
Objective
Built taxonomy and ontology for tagging and categorizing video game concepts related to storytelling and narrative.
Purpose
Allows users to discover video game titles based on their narrative, mood, and story-related concepts, instead of only administrative descriptions such as platform and rating.
My Contribution
- Interviewed gamers who play at least 3 hours of games a week
- Conducted card sorting task in Optimal Sort with interviewees
- Added and organized taxonomy concepts and alt labels
- Created triples and connected related terms
- Conducted corpus analysis to validate terms
Small section of taxonomy
Taxonomy
Our taxonomy consisted of over 500 terms and 14 top concepts.
Ontology
Ontology
By creating triples and connecting related terms, we designed an ontology that may be used with search engines allowing users to find new games through unlikely terms, including finding games that depict similar narratives, moods, and story-related concepts.
Optimal Sort matrix results (click image to enlarge)
User Research
In the process of creating the controlled vocabulary and schema, we completed user research, which included interviews and a card sort (pictured left) completed by individuals interviewed.
Corpus analysis in PoolParty (click image to enlarge)
Corpus Analysis
Text corpus analysis was conducted in PoolParty to validate and refine the terms used in the taxonomy.