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RESEARCH IN PRACTICE
Findings usability professionals should know about
Kath Straub, Usability.org
2	
  
Knowing the research
•  obviates design debates
makes it unnecessary	
  
Knowing the research
•  obviates design debates
•  makes us more effective designers
Research Question:
Does who we study influence
what we find?
Findings
If (Berkeley)preschoolers read about nutrition during snack time,
they are more likely to eat more veggies. They will also understand
more about why veggies are important (including details that were
not in the reading.)
Practitioner takeaways
"
•  When research findings don’t make sense, be dubious.	
  
Citation: 	
  Gripshover,	
  S.	
  J.,	
  &	
  Markman,	
  E.	
  M.	
  (2013).	
  Teaching	
  Young	
  Children	
  a	
  Theory	
  of	
  NutriHon:	
  Conceptual	
  Change	
  and	
  
the	
  PotenHal	
  for	
  Increased	
  Vegetable	
  ConsumpHon.	
  Psychological	
  Science,	
  24(8),	
  1541–1553.	
  doi:
10.1177/0956797612474827	
  
Research Question:
How many users do we need to
test to be confident about our results?
Insight 1
If you don’t test anybody,
you don’t learn anything
Insight 2
You hit diminishing returns on finding
new usability problems at about the 5th user test
AssumpHons:	
  
	
  
#	
  problems	
  found:	
  N(1-­‐(1-­‐λ)i)	
  
	
  
N=	
  Total	
  #	
  of	
  usability	
  problems	
  
λ	
  =	
  probability	
  of	
  finding	
  the	
  average	
  usability	
  problem	
  
when	
  running	
  a	
  single,	
  average	
  subject	
  or	
  using	
  a	
  single,	
  
average	
  Evaluator.	
  For	
  this	
  curve	
  λ	
  =	
  33%.	
  
I	
  =	
  #	
  of	
  parHcipants	
  or	
  evaluators	
  
	
  
	
  
But,	
  it	
  depends.
Findings
If you make assumptions about the % of problems an individual test
participant or evaluator will find, you can model when you will reach
diminishing returns for testing/evaluating.
Practitioner Takeaways
•  If the “takeaway” is that simple, you should probably re-evaluate
for yourself.
Citation: Faulkner, L. (2003). Beyond the five-user assumption: benefits of increased sample sizes in usability testing.
Behavior Research Methods, Instruments, & Computers : A Journal of the Psychonomic Society, Inc, 35(3), 379–83.
5 participants 10 participants 15 participants
Findings
With 5 participants, you find 85% the problems on average, but the
range is 55%-98%. When you test 10, its 94%/82%. For 15, its
97% /90%.
Practitioner Takeaways
•  Target to test 10-12 participants, not 5.
Citation: Faulkner, L. (2003). Beyond the five-user assumption: benefits of increased sample sizes in usability testing.
Behavior Research Methods, Instruments, & Computers : A Journal of the Psychonomic Society, Inc, 35(3), 379–83.
Research Question:
Does how we test influence
the feedback we get?
or	
  
Findings
When you show more than one design to a usability testing
participant, they can make contrastive comments.
Testing multiple designs leads to more detailed, comparative and
negative comments from participants
Takeaways
•  Show participants more than one design during usability tests
and allow them to compare/contrast the user experiences.
Citation: Tohidi, Maryam., Buxton, William., Baecker, Ronald., and Sellen, Abigail. . (2006) Getting the Right Design and
the Design Right: Testing Many is Better Than One CHI 2006 Proceedings. Usability Methods. April 22-27, 2006.
Montreal, Quebec, Canada.
Research Question:
Does how we test influence
the feedback we get-MOBILE?
Findings
Treadmill tests and controlled walking tasks yield similar
performance in mobile evaluations.
Stopping/restarting is not ecologically valid on a treadmill.
Takeaways
Controlled walking tasks provide a better in-context evaluation.
•  Feedback given
Citation: Barnard, L., Yi, J. S., Jacko, J. A., & Sears, A. (2005). An empirical comparison of use-in-motion evaluation
scenarios for mobile computing devices. International Journal of Human-Computer Studies, 62(4), 487–520. doi:10.1016/
j.ijhcs.2004.12.002
Research Question:
Does how we get feedback
influence our design creativity?
Findings
Parallel prototyping leads to more effective designs and greater
designer self efficacy
Takeaways
•  Feedback given on a single design tends to lock designers into a
path or set. Create/Request feedback on more than one design
•  Parallel prototyping promotes comparison without
defensiveness: Forces designers to think of alternative designs so
you don’t get attached to one early in the design process
Citation: Dow, S., Glassco, A., & Kass, J. (2011). The effect of parallel prototyping on design performance, learning, and
self-efficacy. ACM Conference on …, (September), 10. doi:10.1111/j.1432-2277.2009.00960.x
Research Question:
How should we align labels?
29	
  
30	
  
Fixations on "
whitespace	
  
Findings
People liked left- and right-aligned forms best and rate them easiest
to fill out.
People were most efficient (fewest fixations) on top-aligned forms.
People looked longest at top- and in-field aligned forms.
In-field alignment was rated most difficult.
Flow was rated least appealing.
Practitioner takeaways:
This really doesn’t matter as much as we want to argue about it.
But, consider what people are doing and using when you pick.
"
Citation: Bojko,	
  A.	
  A.,	
  &	
  Schumacher,	
  R.	
  M.	
  (n.d.).	
  Eye	
  Tracking	
  and	
  Usability	
  TesHng	
  in	
  Form	
  Layout	
  EvaluaHon,	
  1–13.	
  
"
Research Question:
How much instruction should we give
in forms?
35	
  
36	
  
37	
  
No instructions	
  
Examples	
  
Description	
  
Description
+ Examples	
  
38	
  
No instructions	
  
Examples	
  
Description	
  
Description
+ Examples	
  
Findings
Participants made the most errors with no instructions.
Descriptions resulted in fewer errors than examples.
Giving descriptions and examples doesn’t help (significantly),
but it doesn’t hurt either.
Practitioner takeaways:
Format examples are better than nothing.
Descriptions work better than examples.
Citation: Bargas-Avila, J., Orsini,S., Piosczyk, H., Urwyler, D., Opwis, K. (2011) Enhancing online forms: Use format
specifications for fields with format restrictions to help respondents. Interacting with Computers, 23(1).
Research Question:
How should you present instructions?
Visible	
  
instrucHons	
  
Hidden	
  Behind	
  
Bueon	
  
Hidden	
  Behind	
  
Link	
  	
  
Findings - How to present instructions
•  “Expert” users and older users interact with instructions equally
frequently whether they are hidden or not.
•  Low literacy participants tended not to interact with instructions
even when they need to (They didn’t help much, when they did.)
•  Links draw more clicks that instruction icons.
Practitioner Takeaways
•  Provide visible instructions.
•  If you must hide them, use links rather than icons to let users
know they exist.
"
Reference: Alton,	
  N.,	
  Rinn,	
  C.	
  ,	
  Summers,	
  K.,	
  and	
  	
  Straub,	
  K.,	
  (Forthcoming)	
  Using	
  Eye-­‐Tracking	
  and	
  Form	
  CompleHon	
  Data	
  
to	
  OpHmize	
  Form	
  InstrucHons.	
  IEEE	
  –	
  	
  IPPC	
  14.	
  Piesburgh,	
  PA	
  USA.	
  
Top	
  of	
  
SecHon	
  
Above	
  
Field	
  
Right	
  
of	
  Field	
  
Findings - Where to put instructions
•  Low literacy people and older participants made significantly
more errors and missed more fields in the accordion
presentation.
•  Participants tended not to read page headers in the wizard.
Practitioner Takeaways
•  Place instructions above text input field.
"
Reference: Alton,	
  N.,	
  Rinn,	
  C.	
  ,	
  Summers,	
  K.,	
  and	
  	
  Straub,	
  K.,	
  (Forthcoming)	
  Using	
  Eye-­‐Tracking	
  and	
  Form	
  CompleHon	
  Data	
  
to	
  OpHmize	
  Form	
  InstrucHons.	
  IEEE	
  –	
  	
  IPPC	
  14.	
  Piesburgh,	
  PA	
  USA.	
  
Research Question:
How should you present long forms?
Findings - How to segment and present forms
•  Low literacy users and older participants, and even expert users
(to a lesser extent) miss more items in accordion designs.
•  Wizards help lower literacy and older individuals.
Practitioner Takeaways
•  Avoid accordion presentations for presenting long forms.
"
Reference: Alton,	
  N.,	
  Rinn,	
  C.	
  ,	
  Summers,	
  K.,	
  and	
  	
  Straub,	
  K.,	
  (Forthcoming)	
  Using	
  Eye-­‐Tracking	
  and	
  Form	
  CompleHon	
  Data	
  
to	
  OpHmize	
  Form	
  InstrucHons.	
  IEEE	
  –	
  	
  IPPC	
  14.	
  Piesburgh,	
  PA	
  USA.	
  
Research Question:
Does the hamburger menu work?
Findings
•  Mobile users click more frequently on an icon that says MENU.
Practitioner Takeaways
•  Use words when you can.
"
Reference: 	
  	
  
Test 1: http://exisweb.net/mobile-menu-abtest
Test 2: http://exisweb.net/menu-eats-hamburger
Research Question:
Can plain language be credible and
concise?
 	
  
The	
  trial	
  court	
  erred	
  in	
  giving	
  flawed	
  essenHal	
  
elements	
  instrucHons	
  to	
  the	
  jury	
  and	
  thereby	
  denied	
  
the	
  defendant	
  due	
  process	
  and	
  fundamental	
  fairness	
  
since	
  it	
  is	
  error	
  to	
  give	
  the	
  jury,	
  within	
  the	
  essenHal	
  
elements	
  instrucHons,	
  one	
  statement	
  containing	
  
more	
  than	
  one	
  essenHal	
  element	
  of	
  the	
  crime	
  and	
  
requiring	
  of	
  the	
  jury	
  simple	
  and	
  singular	
  assent	
  or	
  
denial	
  of	
  that	
  compound	
  proposiHon,	
  fully	
  capable	
  of	
  
disjuncHve	
  answer,	
  which	
  if	
  found	
  pursuant	
  to	
  the	
  
evidence	
  adduced	
  would	
  exculpate	
  the	
  defendant.	
  
	
  
	
  	
  
The	
  trial	
  judge	
  erred	
  by	
  instrucHng	
  the	
  jury	
  
to	
  affirm	
  or	
  deny	
  a	
  single	
  quesHon.	
  That	
  
quesHon	
  included	
  all	
  the	
  major	
  elements	
  of	
  
the	
  crime.	
  By	
  joining	
  all	
  the	
  major	
  
elements,	
  the	
  judge	
  prevented	
  the	
  jury	
  
from	
  acquinng	
  the	
  defendant	
  even	
  if	
  they	
  
found	
  him	
  innocent	
  of	
  a	
  major	
  
element	
  .This	
  error	
  denied	
  him	
  his	
  due-­‐
process	
  rights.	
  	
  
 	
  
The	
  trial	
  court	
  erred	
  in	
  giving	
  flawed	
  essenHal	
  
elements	
  instrucHons	
  to	
  the	
  jury	
  and	
  thereby	
  denied	
  
the	
  defendant	
  due	
  process	
  and	
  fundamental	
  fairness	
  
since	
  it	
  is	
  error	
  to	
  give	
  the	
  jury,	
  within	
  the	
  essenHal	
  
elements	
  instrucHons,	
  one	
  statement	
  containing	
  
more	
  than	
  one	
  essenHal	
  element	
  of	
  the	
  crime	
  and	
  
requiring	
  of	
  the	
  jury	
  simple	
  and	
  singular	
  assent	
  or	
  
denial	
  of	
  that	
  compound	
  proposiHon,	
  fully	
  capable	
  of	
  
disjuncHve	
  answer,	
  which	
  if	
  found	
  pursuant	
  to	
  the	
  
evidence	
  adduced	
  would	
  exculpate	
  the	
  defendant.	
  
	
  
	
  	
  
The	
  trial	
  judge	
  erred	
  by	
  instrucHng	
  the	
  jury	
  
to	
  affirm	
  or	
  deny	
  a	
  single	
  quesHon.	
  That	
  
quesHon	
  included	
  all	
  the	
  major	
  elements	
  of	
  
the	
  crime.	
  By	
  joining	
  all	
  the	
  major	
  
elements,	
  the	
  judge	
  prevented	
  the	
  jury	
  
from	
  acquinng	
  the	
  defendant	
  even	
  if	
  they	
  
found	
  him	
  innocent	
  of	
  a	
  major	
  
element	
  .This	
  error	
  denied	
  him	
  his	
  due-­‐
process	
  rights.	
  	
  
Findings
•  The plain language lawyer was rated easy to understand,
trustworthy, logical and specific and concise by other lawyers.
•  Lawyers and non-lawyer thought clients, juries and peers would
understand him better
•  Lawyers would be more satisfied with the plain language lawyer
as their lawyer
Practitioner Takeaways
•  Plain language enhances credibility, even for professionals.
"
Reference: 	
  Straub,	
  K.,	
  Mahaffey,	
  S.	
  and	
  Cheek,	
  A.	
  (Forthcoming).	
  Even	
  lawyers	
  want	
  to	
  understand	
  their	
  lawyers:	
  New	
  
evidence	
  showing	
  plain	
  language	
  increases	
  lawyers’	
  credibility.	
  To	
  be	
  presented	
  at	
  Clarity	
  2014,	
  Antwerp,	
  Belgium.	
  	
  
Research Question:
Is infinite scrolling evil?
Homework:	
  hep://www.slideshare.net/danmckinley/design-­‐for-­‐conHnuous-­‐experimentaHon	
  
Homework:	
  hep://www.slideshare.net/danmckinley/design-­‐for-­‐conHnuous-­‐experimentaHon	
  
Research Question:
Are infographics all that?
Aqer	
  this	
  recent	
  elecHon,	
  has	
  the	
  ALP	
  party	
  become	
  
the	
  second	
  biggest	
  or	
  second	
  smallest	
  party?	
  
Standard
accurate
(abstract)	
  
Standard
inaccurate	
  
Non-standard
accurate	
  
Non-standard
inaccurate	
  
Findings
•  Graphic designers prefer non-standard and pictorial
visualizations.
•  Laypeople prefer the abstract/accurate visualizations.
•  Standard and abstract visualizations reduce interpretive
response times.
Practitioner Takeaways
•  If understanding your visuals are important to your story, test
them
Reference  Petrie, H., & Power, C. (2012). Quispel, A., & Maes, A. (2014). Would you prefer pie or cupcakes? Preferences
for data visualization designs of professionals and laypeople in graphic design. Journal of Visual Languages & Computing,
25(2), 107–116.
Research Question:
Do UXers fixate (on things
users don’t care about)?
Findings
•  There is some overlap but also some non-overlap in the issues
users focus on and the issues UXers focus on
Practitioner Takeaways
•  Be skeptical of your intuitions.
"
Reference: 	
  Petrie,	
  H.,	
  &	
  Power,	
  C.	
  (2012).	
  What	
  do	
  users	
  really	
  care	
  about?	
  In	
  Proceedings	
  of	
  the	
  2012	
  ACM	
  annual	
  
conference	
  on	
  Human	
  Factors	
  in	
  Compu@ng	
  Systems	
  -­‐	
  CHI	
  ’12	
  (p.	
  2107).	
  ACM	
  Press.	
  doi:10.1145/2207676.2208363	
  
Research Question:
Are those cool new UX research
methods something we should be
planning for?
JUST	
  BECAUSE	
  ITS	
  SEXY	
  DATA,	
  
DOESN’T	
  MEAN	
  ITS	
  USEFUL	
  
JUST	
  BECAUSE	
  ITS	
  SEXY	
  DATA,	
  
DOESN’T	
  MEAN	
  ITS	
  USEFUL	
  
Findings
•  (Dead) Salmon respond differentially to human emotions
Practitioner Takeaways
•  Be skeptical, particularly of new/emerging/sexy/neuroscienc-y
researchy methods.
"
Reference	
  	
  Bennee,	
  Baird,	
  Miller,	
  and	
  Wolford	
  (2009)	
  Neural	
  correlates	
  of	
  interspecies	
  perspecHve	
  taking	
  in	
  the	
  post-­‐
mortem	
  AtlanHc	
  Salmon:	
  An	
  argument	
  for	
  mulHple	
  comparisons	
  correcHon.	
  

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IUE14 Presentation - Studies UX Pros should know

  • 1. RESEARCH IN PRACTICE Findings usability professionals should know about Kath Straub, Usability.org
  • 3. Knowing the research •  obviates design debates makes it unnecessary  
  • 4. Knowing the research •  obviates design debates •  makes us more effective designers
  • 5. Research Question: Does who we study influence what we find?
  • 6.
  • 7. Findings If (Berkeley)preschoolers read about nutrition during snack time, they are more likely to eat more veggies. They will also understand more about why veggies are important (including details that were not in the reading.) Practitioner takeaways " •  When research findings don’t make sense, be dubious.   Citation:  Gripshover,  S.  J.,  &  Markman,  E.  M.  (2013).  Teaching  Young  Children  a  Theory  of  NutriHon:  Conceptual  Change  and   the  PotenHal  for  Increased  Vegetable  ConsumpHon.  Psychological  Science,  24(8),  1541–1553.  doi: 10.1177/0956797612474827  
  • 8. Research Question: How many users do we need to test to be confident about our results?
  • 9.
  • 10. Insight 1 If you don’t test anybody, you don’t learn anything
  • 11. Insight 2 You hit diminishing returns on finding new usability problems at about the 5th user test
  • 12. AssumpHons:     #  problems  found:  N(1-­‐(1-­‐λ)i)     N=  Total  #  of  usability  problems   λ  =  probability  of  finding  the  average  usability  problem   when  running  a  single,  average  subject  or  using  a  single,   average  Evaluator.  For  this  curve  λ  =  33%.   I  =  #  of  parHcipants  or  evaluators      
  • 14. Findings If you make assumptions about the % of problems an individual test participant or evaluator will find, you can model when you will reach diminishing returns for testing/evaluating. Practitioner Takeaways •  If the “takeaway” is that simple, you should probably re-evaluate for yourself. Citation: Faulkner, L. (2003). Beyond the five-user assumption: benefits of increased sample sizes in usability testing. Behavior Research Methods, Instruments, & Computers : A Journal of the Psychonomic Society, Inc, 35(3), 379–83.
  • 15.
  • 16. 5 participants 10 participants 15 participants
  • 17. Findings With 5 participants, you find 85% the problems on average, but the range is 55%-98%. When you test 10, its 94%/82%. For 15, its 97% /90%. Practitioner Takeaways •  Target to test 10-12 participants, not 5. Citation: Faulkner, L. (2003). Beyond the five-user assumption: benefits of increased sample sizes in usability testing. Behavior Research Methods, Instruments, & Computers : A Journal of the Psychonomic Society, Inc, 35(3), 379–83.
  • 18. Research Question: Does how we test influence the feedback we get?
  • 19. or  
  • 20. Findings When you show more than one design to a usability testing participant, they can make contrastive comments. Testing multiple designs leads to more detailed, comparative and negative comments from participants Takeaways •  Show participants more than one design during usability tests and allow them to compare/contrast the user experiences. Citation: Tohidi, Maryam., Buxton, William., Baecker, Ronald., and Sellen, Abigail. . (2006) Getting the Right Design and the Design Right: Testing Many is Better Than One CHI 2006 Proceedings. Usability Methods. April 22-27, 2006. Montreal, Quebec, Canada.
  • 21.
  • 22. Research Question: Does how we test influence the feedback we get-MOBILE?
  • 23.
  • 24. Findings Treadmill tests and controlled walking tasks yield similar performance in mobile evaluations. Stopping/restarting is not ecologically valid on a treadmill. Takeaways Controlled walking tasks provide a better in-context evaluation. •  Feedback given Citation: Barnard, L., Yi, J. S., Jacko, J. A., & Sears, A. (2005). An empirical comparison of use-in-motion evaluation scenarios for mobile computing devices. International Journal of Human-Computer Studies, 62(4), 487–520. doi:10.1016/ j.ijhcs.2004.12.002
  • 25. Research Question: Does how we get feedback influence our design creativity?
  • 26.
  • 27. Findings Parallel prototyping leads to more effective designs and greater designer self efficacy Takeaways •  Feedback given on a single design tends to lock designers into a path or set. Create/Request feedback on more than one design •  Parallel prototyping promotes comparison without defensiveness: Forces designers to think of alternative designs so you don’t get attached to one early in the design process Citation: Dow, S., Glassco, A., & Kass, J. (2011). The effect of parallel prototyping on design performance, learning, and self-efficacy. ACM Conference on …, (September), 10. doi:10.1111/j.1432-2277.2009.00960.x
  • 28. Research Question: How should we align labels?
  • 29. 29  
  • 30. 30   Fixations on " whitespace  
  • 31.
  • 32. Findings People liked left- and right-aligned forms best and rate them easiest to fill out. People were most efficient (fewest fixations) on top-aligned forms. People looked longest at top- and in-field aligned forms. In-field alignment was rated most difficult. Flow was rated least appealing. Practitioner takeaways: This really doesn’t matter as much as we want to argue about it. But, consider what people are doing and using when you pick. " Citation: Bojko,  A.  A.,  &  Schumacher,  R.  M.  (n.d.).  Eye  Tracking  and  Usability  TesHng  in  Form  Layout  EvaluaHon,  1–13.   "
  • 33.
  • 34. Research Question: How much instruction should we give in forms?
  • 35. 35  
  • 36. 36  
  • 37. 37   No instructions   Examples   Description   Description + Examples  
  • 38. 38   No instructions   Examples   Description   Description + Examples   Findings Participants made the most errors with no instructions. Descriptions resulted in fewer errors than examples. Giving descriptions and examples doesn’t help (significantly), but it doesn’t hurt either. Practitioner takeaways: Format examples are better than nothing. Descriptions work better than examples. Citation: Bargas-Avila, J., Orsini,S., Piosczyk, H., Urwyler, D., Opwis, K. (2011) Enhancing online forms: Use format specifications for fields with format restrictions to help respondents. Interacting with Computers, 23(1).
  • 39. Research Question: How should you present instructions?
  • 40.
  • 41. Visible   instrucHons   Hidden  Behind   Bueon   Hidden  Behind   Link    
  • 42. Findings - How to present instructions •  “Expert” users and older users interact with instructions equally frequently whether they are hidden or not. •  Low literacy participants tended not to interact with instructions even when they need to (They didn’t help much, when they did.) •  Links draw more clicks that instruction icons. Practitioner Takeaways •  Provide visible instructions. •  If you must hide them, use links rather than icons to let users know they exist. " Reference: Alton,  N.,  Rinn,  C.  ,  Summers,  K.,  and    Straub,  K.,  (Forthcoming)  Using  Eye-­‐Tracking  and  Form  CompleHon  Data   to  OpHmize  Form  InstrucHons.  IEEE  –    IPPC  14.  Piesburgh,  PA  USA.  
  • 43. Top  of   SecHon   Above   Field   Right   of  Field  
  • 44. Findings - Where to put instructions •  Low literacy people and older participants made significantly more errors and missed more fields in the accordion presentation. •  Participants tended not to read page headers in the wizard. Practitioner Takeaways •  Place instructions above text input field. " Reference: Alton,  N.,  Rinn,  C.  ,  Summers,  K.,  and    Straub,  K.,  (Forthcoming)  Using  Eye-­‐Tracking  and  Form  CompleHon  Data   to  OpHmize  Form  InstrucHons.  IEEE  –    IPPC  14.  Piesburgh,  PA  USA.  
  • 45. Research Question: How should you present long forms?
  • 46.
  • 47.
  • 48. Findings - How to segment and present forms •  Low literacy users and older participants, and even expert users (to a lesser extent) miss more items in accordion designs. •  Wizards help lower literacy and older individuals. Practitioner Takeaways •  Avoid accordion presentations for presenting long forms. " Reference: Alton,  N.,  Rinn,  C.  ,  Summers,  K.,  and    Straub,  K.,  (Forthcoming)  Using  Eye-­‐Tracking  and  Form  CompleHon  Data   to  OpHmize  Form  InstrucHons.  IEEE  –    IPPC  14.  Piesburgh,  PA  USA.  
  • 49. Research Question: Does the hamburger menu work?
  • 50.
  • 51.
  • 52. Findings •  Mobile users click more frequently on an icon that says MENU. Practitioner Takeaways •  Use words when you can. " Reference:     Test 1: http://exisweb.net/mobile-menu-abtest Test 2: http://exisweb.net/menu-eats-hamburger
  • 53. Research Question: Can plain language be credible and concise?
  • 54.     The  trial  court  erred  in  giving  flawed  essenHal   elements  instrucHons  to  the  jury  and  thereby  denied   the  defendant  due  process  and  fundamental  fairness   since  it  is  error  to  give  the  jury,  within  the  essenHal   elements  instrucHons,  one  statement  containing   more  than  one  essenHal  element  of  the  crime  and   requiring  of  the  jury  simple  and  singular  assent  or   denial  of  that  compound  proposiHon,  fully  capable  of   disjuncHve  answer,  which  if  found  pursuant  to  the   evidence  adduced  would  exculpate  the  defendant.         The  trial  judge  erred  by  instrucHng  the  jury   to  affirm  or  deny  a  single  quesHon.  That   quesHon  included  all  the  major  elements  of   the  crime.  By  joining  all  the  major   elements,  the  judge  prevented  the  jury   from  acquinng  the  defendant  even  if  they   found  him  innocent  of  a  major   element  .This  error  denied  him  his  due-­‐ process  rights.    
  • 55.     The  trial  court  erred  in  giving  flawed  essenHal   elements  instrucHons  to  the  jury  and  thereby  denied   the  defendant  due  process  and  fundamental  fairness   since  it  is  error  to  give  the  jury,  within  the  essenHal   elements  instrucHons,  one  statement  containing   more  than  one  essenHal  element  of  the  crime  and   requiring  of  the  jury  simple  and  singular  assent  or   denial  of  that  compound  proposiHon,  fully  capable  of   disjuncHve  answer,  which  if  found  pursuant  to  the   evidence  adduced  would  exculpate  the  defendant.         The  trial  judge  erred  by  instrucHng  the  jury   to  affirm  or  deny  a  single  quesHon.  That   quesHon  included  all  the  major  elements  of   the  crime.  By  joining  all  the  major   elements,  the  judge  prevented  the  jury   from  acquinng  the  defendant  even  if  they   found  him  innocent  of  a  major   element  .This  error  denied  him  his  due-­‐ process  rights.     Findings •  The plain language lawyer was rated easy to understand, trustworthy, logical and specific and concise by other lawyers. •  Lawyers and non-lawyer thought clients, juries and peers would understand him better •  Lawyers would be more satisfied with the plain language lawyer as their lawyer Practitioner Takeaways •  Plain language enhances credibility, even for professionals. " Reference:  Straub,  K.,  Mahaffey,  S.  and  Cheek,  A.  (Forthcoming).  Even  lawyers  want  to  understand  their  lawyers:  New   evidence  showing  plain  language  increases  lawyers’  credibility.  To  be  presented  at  Clarity  2014,  Antwerp,  Belgium.    
  • 60. Aqer  this  recent  elecHon,  has  the  ALP  party  become   the  second  biggest  or  second  smallest  party?  
  • 61.
  • 62.
  • 63.
  • 64.
  • 66. Findings •  Graphic designers prefer non-standard and pictorial visualizations. •  Laypeople prefer the abstract/accurate visualizations. •  Standard and abstract visualizations reduce interpretive response times. Practitioner Takeaways •  If understanding your visuals are important to your story, test them Reference  Petrie, H., & Power, C. (2012). Quispel, A., & Maes, A. (2014). Would you prefer pie or cupcakes? Preferences for data visualization designs of professionals and laypeople in graphic design. Journal of Visual Languages & Computing, 25(2), 107–116.
  • 67. Research Question: Do UXers fixate (on things users don’t care about)?
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73. Findings •  There is some overlap but also some non-overlap in the issues users focus on and the issues UXers focus on Practitioner Takeaways •  Be skeptical of your intuitions. " Reference:  Petrie,  H.,  &  Power,  C.  (2012).  What  do  users  really  care  about?  In  Proceedings  of  the  2012  ACM  annual   conference  on  Human  Factors  in  Compu@ng  Systems  -­‐  CHI  ’12  (p.  2107).  ACM  Press.  doi:10.1145/2207676.2208363  
  • 74. Research Question: Are those cool new UX research methods something we should be planning for?
  • 75. JUST  BECAUSE  ITS  SEXY  DATA,   DOESN’T  MEAN  ITS  USEFUL  
  • 76. JUST  BECAUSE  ITS  SEXY  DATA,   DOESN’T  MEAN  ITS  USEFUL   Findings •  (Dead) Salmon respond differentially to human emotions Practitioner Takeaways •  Be skeptical, particularly of new/emerging/sexy/neuroscienc-y researchy methods. " Reference    Bennee,  Baird,  Miller,  and  Wolford  (2009)  Neural  correlates  of  interspecies  perspecHve  taking  in  the  post-­‐ mortem  AtlanHc  Salmon:  An  argument  for  mulHple  comparisons  correcHon.  

Hinweis der Redaktion

  1. 2
  2. Source: http://www.telegraph.co.uk/finance/personalfinance/consumertips/9186513/National-Lottery-whats-the-luckiest-number.html
  3. Compared to serial prototypers, parallel prototypers Designs out performed on all measures Click through rates Time spent on site Ratings by clients & professionals Generated more diverse designs Reported increased self-efficacy Serial prototypers reported negative responses to critique Experienced designers outperformed novices in performance, not diversity
  4. Method Participants: 33 adults from Chicago Task: Filled out all 5 versions of the 15 field forms (Counterbalanced) Between subjects comparison
  5. Method Participants: 33 adults from Chicago Task: Filled out all 5 versions of the 15 field forms (Counterbalanced) Between subjects comparison
  6. 166 German university community members ranging from 15-64 yrs old (X = 27) Complete a form with 7 fields including personal information And password/login name. Instructions varied across participants.
  7. 166 German university community members ranging from 15-64 yrs old (X = 27) Complete a form with 7 fields including personal information And password/login name. Instructions varied across participants.
  8. 18 expert users Ages 18 - 47 72% male, 18% female 25 At-Risk Users Ages 28 – 77 52% male, 48% female 9 participants over 60 years old 18 Low Literacy (REALM score under 60)
  9. 18 expert users Ages 18 - 47 72% male, 18% female 25 At-Risk Users Ages 28 – 77 52% male, 48% female 9 participants over 60 years old 18 Low Literacy (REALM score under 60)
  10. 18 expert users Ages 18 - 47 72% male, 18% female 25 At-Risk Users Ages 28 – 77 52% male, 48% female 9 participants over 60 years old 18 Low Literacy (REALM score under 60)
  11. 18 expert users Ages 18 - 47 72% male, 18% female 25 At-Risk Users Ages 28 – 77 52% male, 48% female 9 participants over 60 years old 18 Low Literacy (REALM score under 60)
  12. 18 expert users Ages 18 - 47 72% male, 18% female 25 At-Risk Users Ages 28 – 77 52% male, 48% female 9 participants over 60 years old 18 Low Literacy (REALM score under 60)
  13. 30 students majoring in graphic design 41 people majoring in something else Is the ADP party the second biggest or second smallest party? Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  14. Is the ADP party the second biggest or second smallest party? Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  15. Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  16. Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  17. Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  18. Attractiveness ratings 5 point scale Very unattractive to very attractive Information retrieval Is the ALP the second from the top or the second from the bottom Clarity rating 1-5 Very unclear to Very Clear Overall rating Extremely bad – Extremely good (1-10) Which three do you like best
  19. Usability Testing Findings (What users focus on) 6 websites - 30 users Expert Review Findings (What UXers focus on) 14 experts* / 3 different ER strategies Collabora>ve heuris>c evaluaion Group Usability Expert Walkthrough Group Domain Expert Walkthrough (DEW) Found 907 problems
  20. Usability Testing Findings (What users focus on) 6 websites - 30 users Expert Review Findings (What UXers focus on) 14 experts* / 3 different ER strategies Collabora>ve heuris>c evaluaion Group Usability Expert Walkthrough Group Domain Expert Walkthrough (DEW) Found 907 problems
  21. Usability Testing Findings (What users focus on) 6 websites - 30 users Expert Review Findings (What UXers focus on) 14 experts* / 3 different ER strategies Collabora>ve heuris>c evaluaion Group Usability Expert Walkthrough Group Domain Expert Walkthrough (DEW) Found 907 problems
  22. Usability Testing Findings (What users focus on) 6 websites - 30 users Expert Review Findings (What UXers focus on) 14 experts* / 3 different ER strategies Collabora>ve heuris>c evaluaion Group Usability Expert Walkthrough Group Domain Expert Walkthrough (DEW) Found 907 problems