Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Beyond Speed and Accuracy, Let's Focus on Engagement and Memorability

Beyond Speed and Accuracy, Let's Focus on Engagement and Memorability

Beyond Speed and Accuracy, Let's Focus on Engagement and Memorability: Creating New Instruments for Evaluating Cartographic Animations

@JoannaMerson
Arizona State University

#nacis2015

Nathaniel V. KELSO

October 15, 2015
Tweet

More Decks by Nathaniel V. KELSO

Other Decks in Education

Transcript

  1. Beyond  Speed  and  Accuracy,    
    Let's  Focus  on  Engagement  and  Memorability:    
    Crea>ng  New  Instruments  for  Evalua>ng  
    Cartographic  Anima>ons  
    @JoannaMerson  
    Arizona  State  University  

    View Slide

  2. “Anima5ons  are  o6en  too  complex  or  
    too  fast  to  be  accurately  perceived.”  
    Arc5c  Ice  Melt.  NOAA  Climate.gov  

    View Slide

  3. Outline  
    •  How  and  why  animated  techniques  are  
    commonly  leveraged  in  maps  
    •  Strengths  and  limita5ons  of  tradi5onal  speed/
    accuracy  style  assessments  
    •  Framework  for  the  "understanding,  
    engagement,  and  recall"  method.  
     

    View Slide

  4. Outline  
    •  How  and  why  animated  techniques  are  
    commonly  leveraged  in  maps  
    •  Strengths  and  limita5ons  of  tradi5onal  speed/
    accuracy  style  assessments  
    •  Framework  for  the  "understanding,  
    engagement,  and  recall"  method.  
     

    View Slide

  5. Outline  
    •  How  and  why  animated  techniques  are  
    commonly  leveraged  in  maps  
    •  Strengths  and  limita5ons  of  tradi5onal  speed/
    accuracy  style  assessments  
    •  Framework  for  the  "understanding,  
    engagement,  and  recall"  method.  
     

    View Slide

  6. Finding  anima5on  in    
       academic  cartography…  
    SELECT  *  FROM  journals    
    WHERE    
    CONTAINS  (animated  map  or  
    dynamic  map)  
     
    …I wish

    View Slide

  7. What  is  being  shown    
    Sta>c  Data   Dynamic  Data  
    -­‐   Linear  flow  data    (wind  water)  
    -­‐  Moving  points  (migra5on,  airplanes)  
    -­‐   Surface  flow  (pollu5on)  
    -­‐  Census/count  surveys  
    (popula5on,  point  events)  
    -­‐Land  cover  (types,  values)  

    View Slide

  8. What  is  being  shown    
    How  is  it  shown  
    Interac>ve   Animated  
    -­‐   Flyovers  
    -­‐   View  changes  
    -­‐   Data  transforma5ons  
     
    *
    *it’s not… but
    that’s another
    topic
    -­‐   Brushing  
    -­‐   Linking  
    -­‐   Callouts  
    -­‐   Time-­‐series/5me  lapse  
    -­‐   Blinking/flashing    
    -­‐ “Mo5cons”/semi-­‐sta5c  
    Sta>c  Data   Dynamic  Data  

    View Slide

  9. Why  is  it  being  animated?  
    -­‐   To  test  the  “effec5veness”  of…  
     
    Something  that  would  be  
    difficult  or  impossible  to  
    convey  in  sta5c  form.  
     
    -­‐  Exploratory  purpose  
    -­‐   Communica5ve  purpose    

    View Slide

  10. •  Boaom-­‐up  assessments    
         speed  and  accuracy  assessments    
    •  how  quickly  and  correctly  users  can  complete  
    specific,  usually  low-­‐level,  tasks  
         eye-­‐tracking  
    Does  the  anima5on  work?  
    majority

    View Slide

  11. Results  of  these  assessments?  
    •  high  contrast  colors  and  blinking  symbols  ü
    •  users  follow  transi5ons      
    ü  
    •  5me  spent  correlated  to  performance  as  
    difficulty  increased    
    •  informa5on  difficult  to  perceive  due  to  
    overloading  informa5on  û  
    •  change  blindness  û  

    View Slide

  12. On  assessing  graphs  vs  tables:    
    One  must  be  careful  not  to  fall  into  a  
    conceptual  trap  by  adop>ng  accuracy  as  a  
    criterion.  We  are  not  saying  that  the  primary  
    purpose  of  a  graph  is  to  convey  numbers  with  as  
    many  decimal  places  as  possible.  …  If  this  were  
    the  only  goal,  tables  would  be  beaer.  The  power  
    of  a  graph  is  its  ability  to  enable  one  to  …  see  
    paaerns  and  structure  not  readily  revealed  by  
    other  means.  
    -­‐  Cleavland  and  McGill  (1984)  

    View Slide

  13. On  assessing  animated  vs  sta5c  maps:    
    One  must  be  careful  not  to  fall  into  a  
    conceptual  trap  by  adop>ng  accuracy  as  a  
    criterion.  I  am  not  saying  that  the  primary  
    purpose  of  an  animated  map  is  to  convey  data  
    with  as  much  accuracy  as  possible.  …  If  this  were  
    the  only  goal,  sta5c  maps  would  be  beaer.  The  
    power  of  an  anima5on  is  its  ability  to  enable  one  
    to  …  see  spa5al-­‐temporal  paaerns  and  structure  
    not  readily  revealed  by  other  means.  
    -­‐  Merson  (today!)  

    View Slide

  14. What  is  being  shown    
    How  is  it  shown  
    Interac>ve   Animated  
    -­‐   Brushing  
    -­‐   Linking  
    -­‐   Callouts  
    -­‐   Flyovers  
    -­‐   View  changes  
    -­‐   Data  transforma5ons  
    -­‐   Time-­‐series/5me  lapse  
    -­‐   Blinking/flashing    
    -­‐ “Mo5cons”/semi-­‐sta5c  
    Sta>c  Data   Dynamic  Data  
    -­‐  Census/count  surveys  
    (popula5on,  point  events)  
    -­‐Land  cover  (types,  values)  
    Sta0c  values  
    measured  
    repeatedly  over  
    0me  
    -­‐   Linear  flow  data    
       (water)    
    -­‐ Surface  flow  (pollu5on,  wind)  
    -­‐ Moving  points  (migra5on,  
    airplanes)  

    View Slide

  15. Animated  
    -­‐   Time-­‐series/5me  lapse  
    -­‐   Blinking/flashing    
    -­‐ “Mo5cons”/semi-­‐sta5c  
    Dynamic  Data  
    -­‐   Linear  flow  data    
       (water)    
    -­‐ Surface  flow  (pollu5on,  wind)  
    -­‐ Moving  points  (migra5on,  
    airplanes)  
    Snapshots  of  intrinsically,  
    con0nuously  moving  data  
    represented  with  mo0on  
    What  is  being  shown    
    How  is  it  shown  

    View Slide

  16. Wind  Example  

    View Slide

  17. Minard  Example    

    View Slide

  18. •  Boaom-­‐up  assessments    
           speed  and  accuracy  assessments    
    •  how  quickly  and  correctly  users  can  complete  specific,  
    usually  low-­‐level,  tasks  
             eye-­‐tracking  
    •  gaze  path  paaerns    
    •  Top-­‐down  assessments  (broadly  in  cartography)  
    –  less  common  for  map  assessments  
    –  memorability  evalua5on  assessments    
    –  learning  facilita5on  assessments  
    –  task  outcome  assessments  
     
    Does  the  anima5on  work?  

    View Slide

  19. The    
    understanding,  engagement,  &  recall  
    method  

    View Slide

  20. understanding
         Data  retrieval  precise  data  ques5ons  (what,  where,  when)  
     Map  interpreta5on  ques5ons  (direc5on,  trends,  comparisons)  
     Map  narra5ve  ques5ons  (iden5fy  overall  “message”)  
    engagement
     Time  spent  “exploring  the  map”    
     User  experience  ques5ons  (reac5on  card  method)
    recall
     Reask  data  retrieval  ques5ons  (can  you  remember…)  
       Reask  map  interpreta5on  and  user  experience  
     Open  ended  recall  (describe  the  content,  look,  and  anything        
    else  that  s5cks  out  in  your  mind  of  the  map  you  saw  last  5me)  
     

    View Slide

  21. Expected  results  
    The  users  of  the  animated  maps  will…  
     
    1)  have  reduced  speed  and  accuracy  of  responses  to  specific  
    map  data  ques5ons.      
       
    However,    
    2)  report  a  more  posi5ve  and  thought  provoking  experience  
     
    3)  remember  more  informa5on  with  more  accuracy,  and  
    remember  a  more  posi5ve  experience  

    View Slide

  22. Arc5c  Ice  Melt.  NOAA  Climate.gov  

    View Slide

  23. understanding
         Data  retrieval  precise  data  ques5ons  (what,  where,  when)  
     Map  interpreta5on  ques5ons  (direc5on,  trends,  comparisons)  
     Map  narra5ve  ques5ons  (iden5fy  overall  “message”)  
    engagement
     Time  spent  “exploring  the  map”    
     User  experience  ques5ons  (reac5on  card  method)
    recall
     Reask  data  retrieval  ques5ons  (can  you  remember…)  
       Reask  map  interpreta5on  and  user  experience  
     Open  ended  recall  (describe  the  content,  look,  and  anything        
    else  that  s5cks  out  in  your  mind  of  the  map  you  saw  last  5me)  
     

    View Slide

  24. @JoannaMerson  
    [email protected]  
    Ques5ons?  
    Feedback?  

    View Slide