Games Design 2 - Lecture 9.5 - Card Sorting
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  • 1. [email_address] Game Design 2 Lecture 9.5: Card Sorting
  • 2. Categorising Data
    • If you are working on a game with a lot of data, it may be useful to consider how users would group this data.
    • Card Sorting is a methodology which enables non-expert end-users to help categorise items in a way which is useful for interface an user experience design.
  • 3. Card Sorting
    • Generates an overall structure to data.
    • Can be used to get suggestions for:
      • Navigation
      • Menus
      • Taxonomies
    • Helps bridge the gap between designer mindset and audience mindset.
  • 4. Card Sorting
    • How do users want information grouped?
    • How similar / different are the needs of different user groups?
    • How many potential categories are there?
    • What should these groups be called?
  • 5. Card Sorting
    • Open sorting
      • Often used early on in process
      • Users can define their own categories
      • Can also repeat the task dependent on a criteria of their choosing
    • Closed sorting
      • Used later in process
      • Categories are pre-defined
  • 6. Card Sorts Analysis
    • Category/Criteria names
      • verbatim agreement
      • gist agreement
        • super-ordinate grouping
    • Groupings
      • cluster analysis, tree diagram, co-occurrence matrices
    • Number of criteria/categories
  • 7. Example superordinate grouping Super-ordinate grouping performed by an Independent Judge “ Your task is to interpret the criteria into super-ordinate constructs. You should try to identify where the criterion given by one respondent could be said to have meant the same as another but simply have chosen different wording.”
  • 8. Co-occurrence matrix
  • 9. Card Sorting Advantages
    • Simple
    • Cheap
    • Quick to Execute
    • Established
    • User Centric
    • Good Foundation for data
  • 10. Card Sorting Disadvantages
    • Emphasizes data over actions
    • Possible to have divergent results
    • Analysis can be time consuming
      • Especially if little consensus between participants
    • May capture ‘surface’ characteristics only
      • i.e. ignoring how the data would be used
  • 11. Further reading