http://www.comu346.com [email_address] Game Design 2 Lecture 9.5: Card Sorting
Categorising Data <ul><li>If you are working on a game with a lot of data, it may be useful to consider how users would gr...
Card Sorting <ul><li>Generates an overall structure to data. </li></ul><ul><li>Can be used to get suggestions for: </li></...
Card Sorting <ul><li>How do users want information grouped? </li></ul><ul><li>How similar / different are the needs of dif...
Card Sorting <ul><li>Open sorting </li></ul><ul><ul><li>Often used early on in process </li></ul></ul><ul><ul><li>Users ca...
Card Sorts Analysis <ul><li>Category/Criteria names </li></ul><ul><ul><li>verbatim agreement </li></ul></ul><ul><ul><li>gi...
Example superordinate grouping Super-ordinate grouping performed by an Independent Judge “ Your task is to interpret the c...
Co-occurrence matrix
Card Sorting Advantages <ul><li>Simple </li></ul><ul><li>Cheap </li></ul><ul><li>Quick to Execute </li></ul><ul><li>Establ...
Card Sorting Disadvantages <ul><li>Emphasizes data over actions </li></ul><ul><li>Possible to have divergent results </li>...
Further reading <ul><li>http://www.boxesandarrows.com/view/card_sorting_a_definitive_guide </li></ul><ul><li>http://www.bo...
Upcoming SlideShare
Loading in …5
×

Games Design 2 - Lecture 9.5 - Card Sorting

1,493 views
1,326 views

Published on

2 Comments
2 Likes
Statistics
Notes
No Downloads
Views
Total views
1,493
On SlideShare
0
From Embeds
0
Number of Embeds
27
Actions
Shares
0
Downloads
21
Comments
2
Likes
2
Embeds 0
No embeds

No notes for slide

Games Design 2 - Lecture 9.5 - Card Sorting

  1. 1. http://www.comu346.com [email_address] Game Design 2 Lecture 9.5: Card Sorting
  2. 2. Categorising Data <ul><li>If you are working on a game with a lot of data, it may be useful to consider how users would group this data. </li></ul><ul><li>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. </li></ul>
  3. 3. Card Sorting <ul><li>Generates an overall structure to data. </li></ul><ul><li>Can be used to get suggestions for: </li></ul><ul><ul><li>Navigation </li></ul></ul><ul><ul><li>Menus </li></ul></ul><ul><ul><li>Taxonomies </li></ul></ul><ul><li>Helps bridge the gap between designer mindset and audience mindset. </li></ul>
  4. 4. Card Sorting <ul><li>How do users want information grouped? </li></ul><ul><li>How similar / different are the needs of different user groups? </li></ul><ul><li>How many potential categories are there? </li></ul><ul><li>What should these groups be called? </li></ul>
  5. 5. Card Sorting <ul><li>Open sorting </li></ul><ul><ul><li>Often used early on in process </li></ul></ul><ul><ul><li>Users can define their own categories </li></ul></ul><ul><ul><li>Can also repeat the task dependent on a criteria of their choosing </li></ul></ul><ul><li>Closed sorting </li></ul><ul><ul><li>Used later in process </li></ul></ul><ul><ul><li>Categories are pre-defined </li></ul></ul>
  6. 6. Card Sorts Analysis <ul><li>Category/Criteria names </li></ul><ul><ul><li>verbatim agreement </li></ul></ul><ul><ul><li>gist agreement </li></ul></ul><ul><ul><ul><li>super-ordinate grouping </li></ul></ul></ul><ul><li>Groupings </li></ul><ul><ul><li>cluster analysis, tree diagram, co-occurrence matrices </li></ul></ul><ul><li>Number of criteria/categories </li></ul>
  7. 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. 8. Co-occurrence matrix
  9. 9. Card Sorting Advantages <ul><li>Simple </li></ul><ul><li>Cheap </li></ul><ul><li>Quick to Execute </li></ul><ul><li>Established </li></ul><ul><li>User Centric </li></ul><ul><li>Good Foundation for data </li></ul>
  10. 10. Card Sorting Disadvantages <ul><li>Emphasizes data over actions </li></ul><ul><li>Possible to have divergent results </li></ul><ul><li>Analysis can be time consuming </li></ul><ul><ul><li>Especially if little consensus between participants </li></ul></ul><ul><li>May capture ‘surface’ characteristics only </li></ul><ul><ul><li>i.e. ignoring how the data would be used </li></ul></ul>
  11. 11. Further reading <ul><li>http://www.boxesandarrows.com/view/card_sorting_a_definitive_guide </li></ul><ul><li>http://www.boxesandarrows.com/view/analyzing_card_sort_results_with_a_spreadsheet_template </li></ul><ul><li>http://www.cs.keele.ac.uk/km/blog/?p=10 </li></ul><ul><li>http://delicious.com/eddequincey/Card_Sorts </li></ul><ul><li>http://homepages.ius.edu/rwisman/n341/html/CardSorting.htm </li></ul>

×