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Towards	
  Web	
  Accessibility	
  
Guidelines	
  of	
  Interaction	
  and	
  
Interface	
  Design	
  for	
  People	
  with	
  
Autism	
  Spectrum	
  Disorder
TALITA CRISTINA	
  PAGANI BRITTO
PHD.	
  EDNALDO BRIGANTE PIZZOLATO
Department	
  of	
  Computer	
  Science
Master	
  Program	
  in	
  Computer	
  Science
Federal	
  University	
  of	
  São	
  Carlos	
  – UFSCar
São	
  Carlos,	
  Brazil
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
  ON	
  ADVANCES	
  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 1
Agenda
§ Introduction:	
  context,	
  challenges	
  and	
  biases
§ Background:	
  state	
  of	
  the	
  art	
  and	
  our	
  purpose
§ Methods
§ Results
§ Final	
  thoughts:	
  conclusions	
  and	
  further	
  work
26/04/16 NINTH	
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  INTERACTIONS 2
Context
Autism	
  Spectrum	
  Disorder	
  (ASD)	
  is	
  a	
  syndrome	
  which	
  affects	
  three	
  
developmental	
  abilities:	
  social,	
  communication	
  and	
  interest	
  skills.
Difficulties	
  may	
  include	
  social	
  interaction,	
  verbal	
  and	
  non-­‐verbal	
  
communication	
  and	
  imagination,	
  as	
  well	
  as	
  a	
  restricted	
  repertoire	
  of	
  
interests	
  and	
  activities.
26/04/16 NINTH	
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  COMPUTER-­‐HUMAN	
  INTERACTIONS 3
Introduction Background
COMMUNICATION SOCIAL INTEREST
Methods Results Final	
  Thoughts
Context
26/04/16 NINTH	
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  INTERACTIONS 4
Introduction Background Methods Results Final	
  Thoughts
In	
  the	
  past	
  20	
  years,	
  computer	
  
technology	
  has	
  been	
  used	
  as	
  a	
  support	
  
tool	
  for	
  parents,	
  therapists,	
  educators	
  
and	
  people	
  with	
  ASD.
They	
  have	
  been	
  proved	
  helpful	
  to:
a) develop	
  abilities	
  of	
  people	
  with	
  ASD;	
  
b) facilitate	
  their	
  lives;	
  
c) be	
  a	
  helpful	
  tool	
  for	
  pedagogical,	
  
therapeutic	
  and	
  everyday	
  life	
  
activities,	
  independent	
  of	
  age.	
  
Challenges	
  and	
  biases
• Software	
  developers	
  and	
  designers	
  have	
  a	
  lack	
  of	
  knowledge	
  
regarding	
  (Web)	
  accessibility	
  not	
  only	
  for	
  people	
  with	
  ASD,	
  but	
  
people	
  with	
  cognitive,	
  learning	
  or	
  neuronal	
  disabilities;
• HCI	
  Guidelines	
  about	
  accessibility	
  for	
  people	
  with	
  ASD	
  do	
  exist
• Fewer	
  than	
  expected
• Restricted	
  to	
  	
  scientific	
  papers
• Often	
  difficult	
  to	
  understand	
  practical	
  implementation
• Software	
  development	
  for	
  people	
  with	
  ASD	
  need	
  to	
  involve	
  
therapists,	
  pedagogues	
  and	
  other	
  non-­‐IT	
  professionals.	
  These	
  
professionals	
  also	
  need	
  to	
  understand	
  how	
  to	
  develop	
  suitable	
  
technology	
  solutions
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
  ON	
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  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 5
Introduction Background Methods Results Final	
  Thoughts
State	
  of	
  the	
  Art
26/04/16 NINTH	
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Introduction Background Methods Results Final	
  Thoughts
Friedman	
  &	
  
Bryen (2004)
Putnam	
  &	
  
Chong	
  (2008)
WAI	
  (2012)
Darejeh &	
  
Singh	
  (2013)
COGA	
  
(2015)
Our	
  Purpose
26/04/16 NINTH	
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  ON	
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  INTERACTIONS 7
Introduction Background Methods Results Final	
  Thoughts
Filter	
  relevant	
  contributions	
  
from	
  literature	
  and	
  solutions	
  
available	
  in	
  the	
  market
Formalize	
  these	
  contributions	
  into	
  guidelines	
  
easy	
  to	
  read,	
  navigate	
  and	
  understand
x ✓
Provide	
  an	
  open-­‐source	
  and	
  open-­‐access	
  
material	
  to	
  help	
  Web	
  developers	
  to	
  design	
  
accessible	
  Web	
  interfaces	
  for	
  people	
  with	
  ASD
Methods
26/04/16 NINTH	
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  INTERACTIONS 8
Phase 1	
  – Studies selection
Exploratory bibliographic
survey:
4	
  International standards
3	
  Software	
  for	
  people with
ASD
10	
  papers published
between 2005	
  and 2015
Phase 2	
  – Extraction
Triage to extract
recommendations:
107	
  potential
recommendations
10	
  categories generated
through affinity diagram
1 2 3
Phase 3	
  – Consolidation
Grouping and refinements:
28	
  unique guidelines
Detailed description of each
guideline,	
  including how to
implement them and their
respective importance for	
  
people with ASD
Introduction Background Methods Results Final	
  Thoughts
Results
§ 17	
  works	
  analyzed	
  from	
  nine	
  countries:
§ United	
  States,	
  Brazil,	
  Italy,	
  England,	
  Israel,	
  India,	
  Malaysia,	
  Chile	
  and	
  Hong	
  
Kong;
§ Although	
   contributions	
   from	
  United	
  States	
  correspond	
  to	
  47%	
  of	
  works,	
  it	
  
was	
  still	
  possible	
  to	
  bring	
  cultural	
  diversity	
  from	
  different	
  countries.
§ Platforms:	
  Web-­‐based,	
  Virtual	
  Reality,	
  Multitouch Table	
  and	
  native	
  
(desktop	
  or	
  mobile)
§ possibility	
  of	
  generalizing	
  recommendations	
   and	
  interaction	
  patterns	
  that	
  
can	
  be	
  platform-­‐independent.
§ 28	
  unique	
  guidelines	
  distributed	
  in	
  10	
  categories	
  carefully	
  labeled	
  to	
  
represent	
  common	
  elements	
  in	
  Web	
  interfaces.
26/04/16 NINTH	
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  ON	
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  INTERACTIONS 9
Introduction Background Methods Results Final	
  Thoughts
Results
26/04/16 NINTH	
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  CONFERENCE	
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G4	
  – System	
  status
G10	
  -­‐ Feedback
G5	
  -­‐ Multimedia
G6	
  – Redundant	
  
representation
G8	
  -­‐ Navigability
G1	
  -­‐ Customization
G2	
  – Visual	
  and	
  
textual	
  vocabulary
G9	
  – Interaction	
  
with	
  touch	
  screen
G7	
  -­‐ AffordanceG3	
  -­‐ Engagement
Introduction Background Methods Results Final	
  Thoughts
Results
26/04/16 NINTH	
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Figure  1.  Number  of  unique  guidelines  generated  for  each  category  after  
systematization  and  summarization.
Introduction Background Methods Results Final	
  Thoughts
Results
26/04/16 NINTH	
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G2	
  – Customization
2.1 Allow	
  color,	
  text	
  size	
  and	
  font	
  customization	
  for	
  interface	
  elements
[12][16][21]–
[23]
2.2
Provide	
  options	
  to	
  customize	
  information	
  visualization	
  with	
  images,	
  sound	
  and	
  text	
  according	
  to	
  
individual	
  user’s	
  preferences
[6][7][16][21
][31]
2.3
Provide	
  options	
  to	
  customize	
  the	
  amount	
  of	
  element	
  in	
  the	
  interface,	
  their	
  arrangement	
  and	
  
enable	
  features	
  personalization
[6][9][16][17
]
2.4 Enable	
  a	
  reading	
  or	
  printing	
  mode	
  for	
  activities	
  involving	
  reading	
  and	
  concentration [21][22]
G4	
  –Redundant	
  Representation
4.1
The	
  Website	
  or	
  Web	
  application	
  must	
  not	
  rely	
  only	
  in	
  text	
  to	
  present	
  content.	
  Provide	
  alternative	
  
representations	
  through	
  image,	
  audio	
  or	
  video	
  and	
  ensure	
  that	
  they	
  will	
  be	
  close	
  to	
  the	
  corresponding	
  
text
[5][6][21][23][
31]
4.2
Symbols,	
  pictograms	
  and	
  icons	
  should	
  present	
  a	
  textual	
  equivalent	
  near	
  to	
  facilitate	
  symbol	
  
understanding	
  and	
  contribute	
  to	
  enrich	
  user’s	
  vocabulary
[9][21][31]
4.3
Provide	
  audio	
  instructions	
  and	
  subtitles	
  for	
  texts,	
  but	
  ensure	
  that	
  this	
  is	
  not	
  the	
  only	
  alternate	
  content	
  
representation
[21][28]
Introduction Background Methods Results Final	
  Thoughts
26/04/16 NINTH	
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Title
3.1.	
  The	
  website	
  or	
  web	
  application	
  must	
  not	
  rely	
  only	
  in	
  text	
  to	
  present	
  content.	
  Provide	
  
alternative	
  representations	
  through	
  image,	
  audio	
  or	
  video	
  and	
  ensure	
  that	
  they	
  will	
  be	
  close	
  to	
  
the	
  corresponding	
  text
Description
Websites	
  and	
  web	
  applications	
  must	
  not	
  rely	
  only	
  in	
  text	
  to	
  provide	
  instructions,	
   commands	
  or	
  
content,	
  due	
  to	
  possible	
  difficult	
  people	
  with	
  ASD	
  face	
  with	
  verbal	
  communication	
  abilities.	
  
Thus,	
  it’s	
  recommended	
  provide	
  content	
  in	
  multiple	
  formats.
ASD’s	
  related	
  
characteristics
Memory
Attention
Reading
Verbal	
  or	
  linguistic	
  understanding
Visual	
  understanding
Sensorial	
  integration
Why?
Present	
  content	
  using	
  multimedia	
  (text,	
  image	
  and	
  sound)	
  reinforce	
  the	
  information	
  idea,	
  
provide	
  help	
  in	
  reading	
  skills	
  and	
  may	
  facilitate	
  attention	
  and	
  memorizing	
  for	
  people	
  with	
  ASD.
For	
  children’s	
  websites,	
  redundant	
  and	
  alternative	
  representations	
  support	
  literacy,	
  may	
  
expand	
  vocabulary	
  and	
  contribute	
  with	
  communication	
  and	
  collaboration	
  skills.
How?
-­‐ Images	
  such	
  as	
  illustration,	
  diagrams	
  and	
  icons	
  should	
   be	
  used	
  to	
  convey	
  content	
  and	
  they	
  
should	
  present	
  a	
  correspondent	
  text	
  as	
  a	
  (con)textual	
  cue	
  to	
  help	
  users	
  understand	
  content;
-­‐ Ensure	
  that	
  multiple	
  representation	
  of	
  the	
  same	
  information	
  are	
  near	
  each	
  other	
  to	
  reinforce	
  
comparison	
  and	
  association	
  between	
  the	
  representations;
-­‐ Use	
  figures,	
  icons	
  and	
  symbols	
   near	
  the	
  corresponding	
  text;
-­‐ If	
  the	
  main	
  content	
  is	
  visual	
  or	
  sound,	
   provide	
  a	
  text	
  alternative.
Sources [3,	
  6,	
  7,	
  15,	
  28]
Relevant	
  findings
Biggest	
  challenges	
  for	
  people	
  with	
  ASD	
  when	
  using	
  the	
  Web	
  are:	
  	
  
a) to	
  	
  focus	
  or	
  comprehend	
   lengthy	
  sections	
  of	
  text;	
  and	
  
b) to	
  understand	
  visual/textual	
  information	
   due	
  to	
  inaccurate	
  visual	
  and	
  
textual	
  communication.	
  
Therefore,	
  visual	
  and	
  textual	
  vocabulary,	
  alongside	
  with	
  redundant	
  
representation,	
  may	
  be	
  considered	
  the	
  most	
  important	
  
recommendations.
As	
  people	
  with	
  ASD,	
  especially	
  children,	
  may	
  be	
  uncomfortable	
  with	
  
certain	
  distractive	
  elements	
  and	
  also	
  present	
  some	
  difficulties	
  regarding	
  
focus	
  and	
  attention,	
  Engagement guidelines	
  are	
  important	
  to	
  work	
  
memory,	
  attention	
  and	
  reading	
  skills	
  on	
  the	
  Web	
  interface.	
  
26/04/16 NINTH	
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Introduction Background Methods Results Final	
  Thoughts
Results
GAIA
Guidelines	
  for	
  Accessible	
  
Interfaces	
  for	
  people	
  with	
  
Autism
26/04/16 NINTH	
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Introduction Background Methods Results Final	
  Thoughts
Conclusions
By	
  proposing	
  recommendations	
  and	
  guiding	
  principles	
  for	
  
the	
  development	
  of	
  interfaces	
  accessible	
  to	
  people	
  with	
  
autism,	
  it	
  is	
  possible	
  to	
  mitigate	
  the	
  lack	
  of	
  knowledge	
  of	
  
developers	
  and	
  enable	
  the	
  development	
  of	
  more	
  inclusive	
  
technologies.
◦ Contribution	
  to	
  raise	
  awareness	
  of	
  these	
  professionals	
  about	
  the	
  
characteristics	
  of	
  the	
  person	
  with	
  ASD	
  and	
  how	
  technology	
  can	
  be	
  
valuable	
  to	
  them;
◦ Support	
  the	
  educational	
  goals	
  defined	
  for	
  the	
  application	
  
◦ Support	
  for	
  decision-­‐making	
  to	
  suggest	
  information	
  and	
  resources	
  
more	
  consistent	
  with	
  the	
  context	
  of	
  children	
  with	
  autism	
  and,	
  
potentially,	
  a	
  variety	
  of	
  users.	
  
26/04/16 NINTH	
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Introduction Background Methods Results Final	
  Thoughts
Conclusions
The	
  proposed	
  guidelines	
  should	
  provide	
  advances	
  in	
  the	
  state	
  of	
  the	
  art	
  
of	
  cognitive	
  Web	
  accessibility	
  as:	
  
• Support	
  material	
  to	
  develop	
  Websites	
  and	
  Web	
  applications	
  adapted	
  
to	
  the	
  needs	
  of	
  people	
  with	
  ASD,	
  especially	
  children;	
  
• A	
  guidance	
  documentation	
  about	
  best	
  practices	
  and	
  potential	
  
challenges	
  about	
  interaction	
  of	
  people	
  with	
  ASD	
  with	
  interactive	
  
systems;	
  
• An	
  open	
  source	
  repository	
  of	
  recommendations	
  in	
  constant	
  update;
• A	
  complement	
  to	
  literature	
  regarding	
  the	
  biases	
  of	
  Web	
  accessibility	
  
for	
  people	
  with	
  cognitive	
  or	
  neuronal	
  disabilities,	
  adding	
  techniques	
  
related	
  to	
  ASD.
26/04/16 NINTH	
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Introduction Background Methods Results Final	
  Thoughts
Further	
  work
§ Interview	
  parents	
  and	
  teacher	
  of	
  children	
  with	
  ASD	
  to	
  
understand	
  their	
  perspective	
  about	
  using	
  technology	
  as	
  
an	
  educational	
  and	
  therapeutic	
  resource	
  in	
  order	
  to	
  
contemplate	
  their	
  viewpoint	
  into	
  the	
  guidelines;
§ Perform	
  technical	
  evaluation	
  of	
  the	
  guidelines	
  with	
  Web	
  
developers,	
  accessibility	
  experts	
  and	
  digital	
  educational	
  
teachers	
  involved	
  with	
  special	
  education;
§ Develop	
  the	
  final	
  version	
  of	
  all	
  the	
  guidelines	
  with	
  their	
  
detailed	
  description	
  and	
  examples.
26/04/16 NINTH	
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  COMPUTER-­‐HUMAN	
  INTERACTIONS 18
Introduction Background Methods Results Final	
  Thoughts
References
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
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  IN	
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  INTERACTIONS 19
[1]	
  C.	
  for	
  D.	
  C.	
  and	
  Prevention,	
  “Prevalence	
  of	
  Autism	
  Spectrum	
  Disorders,”	
  MMRW,	
  vol.	
  61,	
  no.	
  3,	
  pp.	
  1–19,	
  
2012.
[2]	
  P.	
  T.	
  Ozand,	
  A.	
  Al-­‐odaib,	
  H.	
  Merza,	
  and	
  S.	
  Al	
  Harbi,	
  “Autism  :	
  a	
  review,”	
  J.	
  Pediatr.	
  Neurol.,	
  vol.	
  1,	
  no.	
  2,	
  pp.	
  
55–67,	
  2003.
[3]	
  A.	
  P.	
  Association,	
  Diagnostic	
  and	
  Statistical	
   Manual	
  of	
  Mental	
  Disorders	
  (DSM),	
  Fifth.	
  United	
  States:	
  
American	
  Psychological	
  Association,	
  2013.
[4]	
  C.	
  A.	
  Gadia,	
  R.	
  Tuchman,	
  and	
  N.	
  T.	
  Rotta,	
  “Autism	
  and	
  pervasive	
  developmental	
  disorders,”	
  J.	
  Pediatr.,	
  vol.	
  
80,	
  no.	
  2,	
  pp.	
  83–94,	
  2004.
[5]	
  H.	
  J.	
  Carrer,	
  E.	
  B.	
  Pizzolato,	
  and	
  C.	
  Goyos,	
  “Evaluation	
  of	
  educational	
  software	
  with	
  speech	
   recognition	
  in	
  
individuals	
  with	
  normal	
  development	
  and	
  language	
  delay,”	
   Rev.	
  Bras.	
  Informática na Educ.,	
  vol.	
  17,	
  no.	
  3,	
  pp.	
  
67–81,	
  2009.
[6]	
  L.	
  Millen,	
  R.	
  Edlin-­‐White,	
  and	
  S.	
  Cobb,	
  “The	
  development	
  of	
  educational	
  collaborative	
  virtual	
  environments	
  
for	
  children	
  with	
  autism,”	
  Proceedings	
  of	
  5th	
  Cambridge	
  Workshop	
  on	
  Universal	
  Access	
  and	
  Assistive	
  
Technology	
  (CWUAAT	
  2010),	
  2010,	
  pp.	
  1–7.
[7]	
  C.	
  Putnam	
  and	
  L.	
  Chong,	
  “Software	
  and	
  technologies	
  designed	
  for	
  people	
  with	
  autism:	
  what	
  do	
  users	
  
want?,”	
  Proceedings	
  of	
  the	
  10th	
  Int.	
  ACM	
  SIGACCESS	
  Conf.	
  Comput.	
  Access.,	
   pp.	
  3–10,	
  2008.
[8]	
  A.	
  Battocchi,	
   A.	
  Ben-­‐Sasson,	
  G.	
  Esposito,	
  E.	
  Gal,	
  F.	
  Pianesi,	
  D.	
  Tomasini,	
  P.	
  Venuti,	
   P.	
  Weiss,	
  and	
  M.	
  
Zancanaro,	
  “Collaborative	
  puzzle	
  game:	
  a	
  tabletop	
  interface	
  for	
  fostering	
  collaborative	
  skills	
  in	
  children	
  with	
  
autism	
  spectrum	
  disorders,”	
  J.	
  Assist.	
  Technol.,	
  vol.	
  4,	
  no.	
  1,	
  pp.	
  4–13,	
  2010.
References
[9]	
  G.	
  F.	
  M.	
  Silva,	
  L.	
  C.	
  de	
  Castro	
  Salgado,	
  and	
  A.	
  B.	
  Raposo,	
  “Metaphors	
  of	
  Cultural	
  Perspectives	
  in	
  the	
  
(re)	
  definition	
   of	
  collaboration	
  patterns	
  of	
  a	
  multi-­‐touch	
  game	
  for	
  users	
  with	
  autism,”	
  Proceedings	
  of	
  
the	
  12th	
  Brazilian	
  Symposium	
   on	
  Human	
  Factors	
  in	
  Computing	
  Systems,	
  2013,	
  vol.	
  5138,	
  pp.	
  112–121.
[10]	
  L.	
  Millen,	
  S.	
  V.	
  G.	
  Cobb,	
  H.	
  Patel,	
  and	
  T.	
  Glover,	
  “Collaborative	
  virtual	
  environment	
  for	
  conducting	
  
design	
  sessions	
   with	
  students	
  with	
  autism	
  spectrum	
  conditions,”	
   Proceedings	
  of	
  the	
  9th	
  Intl	
  Conf.	
  
Disabil.	
  Virtual	
  Real.	
  Assoc.	
  Technol.,	
  pp.	
  10–12,	
  2012.
[11]	
  M.	
  Moore	
  and	
  S.	
  Calvert,	
  “Brief	
  Report:	
  Vocabulary	
  Acquisition	
  for	
  Children	
  with	
  Autism:	
  Teacher	
  
or	
  Computer	
  Instruction,”	
  J.	
  Autism	
  Dev.	
  Disord.,	
  vol.	
  30,	
  no.	
  4,	
  pp.	
  359–362,	
  2000.
[12]	
  A.	
  Darejeh and	
  D.	
  Singh,	
  “A	
  review	
  on	
  user	
  interface	
  design	
  principles	
  to	
  increase	
  software	
  
usability	
  for	
  users	
  with	
  less	
  computer	
  literacy,”	
  J.	
  Comput.	
  Sci.,	
  vol.	
  9,	
  no.	
  11,	
  pp.	
  1443–1450,	
  2013.
[13]	
  T.	
  Gentry,	
  J.	
  Wallace,	
  C.	
  Kvarfordt,	
  and	
  K.	
  B.	
  Lynch,	
  “Personal	
  digital	
  assistants	
  as	
  cognitive	
  aids	
  for	
  
high	
  school	
  students	
  with	
  autism:	
  Results	
  of	
  a	
  community-­‐based	
  trial,”	
  J.	
  Vocat.	
  Rehabil.,	
  vol.	
  32,	
  no.	
  2,	
  
pp.	
  101–107,	
  2010.
[14]	
  T.	
  R.	
  Goldsmith	
  and	
  L.	
  a	
  Leblanc,	
  “Use	
  of	
  Technology	
  in	
  Interventions	
  for	
  Children	
  with	
  Autism,”	
  J.	
  
Early	
  Intensive	
  Behav.	
  Interv.,	
  vol.	
  1,	
  no.	
  2,	
  pp.	
  166–178,	
  2004.
[15]	
  R.	
  Muñoz,	
  T.	
  Barcelos,	
  R.	
  Noël,	
  and S.	
  Kreisel,	
  “Development of software	
  that supports the
improvement of the empathy in	
  children with autism spectrum disorder,”	
  Proceedings of Int.	
  Conf.	
  Chil.	
  
Comput.	
  Sci.	
  Soc.	
  SCCC,	
  pp.	
  223–228,	
  2013.
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
  ON	
  ADVANCES	
  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 20
References
[16]	
  AssistiveWare,	
  “Proloquo2Go,”	
  2014.	
  [Online].	
  Available from:	
  http://www.assistiveware.com/product/proloquo2go	
  
2016.03.19
[17]	
  PuzzlePiece,	
  “PuzzlePiece,”	
  2014.	
  [Online].	
  Available from:	
  https://www.getpuzzlepiece.com/	
  2016.03.19
[18]	
  J.	
  Mankoff,	
  G.	
  R.	
  Hayes,	
  and D.	
  Kasnitz,	
  “Disabilitystudies as	
  a	
  source of critical inquiry for	
  the fieldof assistive
technology,”	
  Proceedings of 12th	
  Int.	
  ACM	
  SIGACCESS	
  Conf.	
  Comput.	
  Access.	
  -­‐ ASSETS	
  ’10,	
  p.	
  3,	
  2010.
[19]	
  D.	
  Moore,	
  “Computer-­‐BasedLearning	
  Systems	
  for	
  People	
  with Autism,”	
  in	
  Disabled Students in	
  Education:	
  
Technology,	
  Transition,	
  and Inclusivity,	
  D.	
  Moore,	
  A.	
  Gorra,	
  M.	
  Adams,	
  J.	
  Reaney,	
  and H.	
  Smith,	
  Eds.	
  Hershey,	
  PA:	
  IGI	
  
Global,	
  pp.	
  84–107,	
  2012.
[20]	
  K.	
  Sitdhisanguanand N.	
  Chotikakamthorn,	
   “Using tangible user interfaces	
  in	
  computer-­‐basedtraining	
  systems	
  for	
  
low-­‐functioning autistic children,”	
  Pers.	
  Ubiquitous Comput.,	
  vol.	
  16,	
  no.	
  2,	
  pp.	
  143–155,	
  2012.
[21]	
  M.	
  G.	
  Friedman	
  and D.	
  N.	
  Bryen,	
  “Web	
  accessibilitydesign	
  recommendations for	
  people withcognitive disabilities,”	
  
Technol.	
  Disabil.,	
  vol.	
  19,	
  pp.	
  205–212,	
  2007.
[22]	
  L.	
  Seemanand M.	
  Cooper,	
  “Cognitive AccessibilityUser Research,”	
  2015.	
  [Online].	
  Available from:	
  
http://w3c.github.io/coga/user-­‐research/	
  2016.03.19
[23]	
  WebAIM,	
  “Evaluating Cognitive Web	
  AccessibilitywithWAVE,”	
  2014.	
  [Online].	
  Available from:	
  
http://wave.Webaim.org/cognitive 2016.03.19
[24]	
  S.	
  Abou-­‐Zahra,	
  “How People	
  with Disabilities Use	
  the Web.	
  Status:	
  Draft	
  Updated 1	
  August	
  2012,”	
  2012.	
  [Online].	
  
Available from:	
  http://www.w3.org/WAI/intro/people-­‐use-­‐Web/diversity2016.03.19
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
  ON	
  ADVANCES	
  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 21
References
[25]	
  H.	
  van	
  Rijn and P.	
  J.	
  Stappers,	
  “The	
  Puzzling Life	
  of Autistic Toddlers:	
  Design	
  Guidelines from the
LINKX	
  Project,”	
  Adv.	
  Human-­‐Computer	
  Interact.,	
  vol.	
  2008,	
  pp.	
  1–8,	
  2008.
[26]	
  A.	
  L.	
  Wainer	
  and B.	
  R.	
  Ingersoll,	
  “The	
  use	
  of innovative computer technology for	
  teaching social	
  
communication	
  to individuals with autism spectrum disorders,”	
   Res.	
  Autism Spectr.	
  Disord.,	
  vol.	
  5,	
  no.	
  
1,	
  pp.	
  96–107,	
  2011.
[27]	
  P.	
  L.	
  T.	
  Weiss,	
  E.	
  Gal,	
  S.	
  Eden,	
  M.	
  Zancanaro,	
  and F.	
  Telch,	
  “Usability of a	
  Multi-­‐Touch Tabletop
Surface to Enhance Social	
  Competence Training	
  for	
  Children with Autism Spectrum	
  Disorder,”	
  
Proceedings of the Chais Conference on Instructional Technologies	
  Research:	
  Learning	
  in	
  the
technological era,	
  2011,	
  pp.	
  71–78.
[28]	
  F.	
  K.	
  Lau,	
  A.	
  H.	
  K.	
  Yuen,	
  and J.	
  M.	
  G.	
  Lian,	
  “Adapted design	
  of multimedia-­‐facilitated language
learning programfor	
  children with autism,”	
  Psicol.	
  Esc.	
  e	
  Educ.,	
  vol.	
  11,	
  no.	
  spe,	
  pp.	
  13–26,	
  2007.
[29]	
  C.	
  Putnam	
  and L.	
  Chong,	
  “Software	
  and technologies designed for	
  people with autism:	
  what do	
  
users want?,”	
  in	
  Proceedings of the 10th	
  international ACM	
  SIGACCESS	
  conference on Computers and
accessibility,	
   2008,	
  pp.	
  3–10.
[30]	
  D.	
  Poulson and C.	
  Nicolle,	
  “Making the Internet	
  accessible for	
  people with cognitive and
communication	
  Impairments,”	
  Univers.	
  Access	
  Inf.	
  Soc.,	
  vol.	
  3,	
  no.	
  1,	
  pp.	
  48–56,	
  2004.
[31]	
  N.	
  C.	
  of U.	
  D.	
  for	
  L.	
  UDLCenter,	
  “UDL	
  Guidelines – Version 2.0,”	
  National Center	
  of Universal	
  Design	
  
for	
  Learning,	
  2012.	
  [Online].	
  Available from:	
  http://www.udlcenter.org/aboutudl/udlguidelines
2016.03.19	
  
26/04/16 NINTH	
  INTERNATIONAL	
  CONFERENCE	
  ON	
  ADVANCES	
  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 22
Thank	
  you!
Grazie!
TALITA.CPB@GMAIL.COM
EDNALDO@DC.UFSCAR.BR
HTTP://GITHUB.COM/TALITAPAGANI/GAIA
26/04/16 NINTH	
  INTERNATIONAL	
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  ON	
  ADVANCES	
  IN	
  COMPUTER-­‐HUMAN	
  INTERACTIONS 23

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Towards Web Accessibility Guidelines of Interaction and Interface Design for People with Autism Spectrum Disorder

  • 1. Towards  Web  Accessibility   Guidelines  of  Interaction  and   Interface  Design  for  People  with   Autism  Spectrum  Disorder TALITA CRISTINA  PAGANI BRITTO PHD.  EDNALDO BRIGANTE PIZZOLATO Department  of  Computer  Science Master  Program  in  Computer  Science Federal  University  of  São  Carlos  – UFSCar São  Carlos,  Brazil 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 1
  • 2. Agenda § Introduction:  context,  challenges  and  biases § Background:  state  of  the  art  and  our  purpose § Methods § Results § Final  thoughts:  conclusions  and  further  work 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 2
  • 3. Context Autism  Spectrum  Disorder  (ASD)  is  a  syndrome  which  affects  three   developmental  abilities:  social,  communication  and  interest  skills. Difficulties  may  include  social  interaction,  verbal  and  non-­‐verbal   communication  and  imagination,  as  well  as  a  restricted  repertoire  of   interests  and  activities. 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 3 Introduction Background COMMUNICATION SOCIAL INTEREST Methods Results Final  Thoughts
  • 4. Context 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 4 Introduction Background Methods Results Final  Thoughts In  the  past  20  years,  computer   technology  has  been  used  as  a  support   tool  for  parents,  therapists,  educators   and  people  with  ASD. They  have  been  proved  helpful  to: a) develop  abilities  of  people  with  ASD;   b) facilitate  their  lives;   c) be  a  helpful  tool  for  pedagogical,   therapeutic  and  everyday  life   activities,  independent  of  age.  
  • 5. Challenges  and  biases • Software  developers  and  designers  have  a  lack  of  knowledge   regarding  (Web)  accessibility  not  only  for  people  with  ASD,  but   people  with  cognitive,  learning  or  neuronal  disabilities; • HCI  Guidelines  about  accessibility  for  people  with  ASD  do  exist • Fewer  than  expected • Restricted  to    scientific  papers • Often  difficult  to  understand  practical  implementation • Software  development  for  people  with  ASD  need  to  involve   therapists,  pedagogues  and  other  non-­‐IT  professionals.  These   professionals  also  need  to  understand  how  to  develop  suitable   technology  solutions 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 5 Introduction Background Methods Results Final  Thoughts
  • 6. State  of  the  Art 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 6 Introduction Background Methods Results Final  Thoughts Friedman  &   Bryen (2004) Putnam  &   Chong  (2008) WAI  (2012) Darejeh &   Singh  (2013) COGA   (2015)
  • 7. Our  Purpose 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 7 Introduction Background Methods Results Final  Thoughts Filter  relevant  contributions   from  literature  and  solutions   available  in  the  market Formalize  these  contributions  into  guidelines   easy  to  read,  navigate  and  understand x ✓ Provide  an  open-­‐source  and  open-­‐access   material  to  help  Web  developers  to  design   accessible  Web  interfaces  for  people  with  ASD
  • 8. Methods 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 8 Phase 1  – Studies selection Exploratory bibliographic survey: 4  International standards 3  Software  for  people with ASD 10  papers published between 2005  and 2015 Phase 2  – Extraction Triage to extract recommendations: 107  potential recommendations 10  categories generated through affinity diagram 1 2 3 Phase 3  – Consolidation Grouping and refinements: 28  unique guidelines Detailed description of each guideline,  including how to implement them and their respective importance for   people with ASD Introduction Background Methods Results Final  Thoughts
  • 9. Results § 17  works  analyzed  from  nine  countries: § United  States,  Brazil,  Italy,  England,  Israel,  India,  Malaysia,  Chile  and  Hong   Kong; § Although   contributions   from  United  States  correspond  to  47%  of  works,  it   was  still  possible  to  bring  cultural  diversity  from  different  countries. § Platforms:  Web-­‐based,  Virtual  Reality,  Multitouch Table  and  native   (desktop  or  mobile) § possibility  of  generalizing  recommendations   and  interaction  patterns  that   can  be  platform-­‐independent. § 28  unique  guidelines  distributed  in  10  categories  carefully  labeled  to   represent  common  elements  in  Web  interfaces. 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 9 Introduction Background Methods Results Final  Thoughts
  • 10. Results 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 10 G4  – System  status G10  -­‐ Feedback G5  -­‐ Multimedia G6  – Redundant   representation G8  -­‐ Navigability G1  -­‐ Customization G2  – Visual  and   textual  vocabulary G9  – Interaction   with  touch  screen G7  -­‐ AffordanceG3  -­‐ Engagement Introduction Background Methods Results Final  Thoughts
  • 11. Results 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 11 Figure  1.  Number  of  unique  guidelines  generated  for  each  category  after   systematization  and  summarization. Introduction Background Methods Results Final  Thoughts
  • 12. Results 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 12 G2  – Customization 2.1 Allow  color,  text  size  and  font  customization  for  interface  elements [12][16][21]– [23] 2.2 Provide  options  to  customize  information  visualization  with  images,  sound  and  text  according  to   individual  user’s  preferences [6][7][16][21 ][31] 2.3 Provide  options  to  customize  the  amount  of  element  in  the  interface,  their  arrangement  and   enable  features  personalization [6][9][16][17 ] 2.4 Enable  a  reading  or  printing  mode  for  activities  involving  reading  and  concentration [21][22] G4  –Redundant  Representation 4.1 The  Website  or  Web  application  must  not  rely  only  in  text  to  present  content.  Provide  alternative   representations  through  image,  audio  or  video  and  ensure  that  they  will  be  close  to  the  corresponding   text [5][6][21][23][ 31] 4.2 Symbols,  pictograms  and  icons  should  present  a  textual  equivalent  near  to  facilitate  symbol   understanding  and  contribute  to  enrich  user’s  vocabulary [9][21][31] 4.3 Provide  audio  instructions  and  subtitles  for  texts,  but  ensure  that  this  is  not  the  only  alternate  content   representation [21][28] Introduction Background Methods Results Final  Thoughts
  • 13. 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 13 Title 3.1.  The  website  or  web  application  must  not  rely  only  in  text  to  present  content.  Provide   alternative  representations  through  image,  audio  or  video  and  ensure  that  they  will  be  close  to   the  corresponding  text Description Websites  and  web  applications  must  not  rely  only  in  text  to  provide  instructions,   commands  or   content,  due  to  possible  difficult  people  with  ASD  face  with  verbal  communication  abilities.   Thus,  it’s  recommended  provide  content  in  multiple  formats. ASD’s  related   characteristics Memory Attention Reading Verbal  or  linguistic  understanding Visual  understanding Sensorial  integration Why? Present  content  using  multimedia  (text,  image  and  sound)  reinforce  the  information  idea,   provide  help  in  reading  skills  and  may  facilitate  attention  and  memorizing  for  people  with  ASD. For  children’s  websites,  redundant  and  alternative  representations  support  literacy,  may   expand  vocabulary  and  contribute  with  communication  and  collaboration  skills. How? -­‐ Images  such  as  illustration,  diagrams  and  icons  should   be  used  to  convey  content  and  they   should  present  a  correspondent  text  as  a  (con)textual  cue  to  help  users  understand  content; -­‐ Ensure  that  multiple  representation  of  the  same  information  are  near  each  other  to  reinforce   comparison  and  association  between  the  representations; -­‐ Use  figures,  icons  and  symbols   near  the  corresponding  text; -­‐ If  the  main  content  is  visual  or  sound,   provide  a  text  alternative. Sources [3,  6,  7,  15,  28]
  • 14. Relevant  findings Biggest  challenges  for  people  with  ASD  when  using  the  Web  are:     a) to    focus  or  comprehend   lengthy  sections  of  text;  and   b) to  understand  visual/textual  information   due  to  inaccurate  visual  and   textual  communication.   Therefore,  visual  and  textual  vocabulary,  alongside  with  redundant   representation,  may  be  considered  the  most  important   recommendations. As  people  with  ASD,  especially  children,  may  be  uncomfortable  with   certain  distractive  elements  and  also  present  some  difficulties  regarding   focus  and  attention,  Engagement guidelines  are  important  to  work   memory,  attention  and  reading  skills  on  the  Web  interface.   26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 14 Introduction Background Methods Results Final  Thoughts
  • 15. Results GAIA Guidelines  for  Accessible   Interfaces  for  people  with   Autism 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 15 Introduction Background Methods Results Final  Thoughts
  • 16. Conclusions By  proposing  recommendations  and  guiding  principles  for   the  development  of  interfaces  accessible  to  people  with   autism,  it  is  possible  to  mitigate  the  lack  of  knowledge  of   developers  and  enable  the  development  of  more  inclusive   technologies. ◦ Contribution  to  raise  awareness  of  these  professionals  about  the   characteristics  of  the  person  with  ASD  and  how  technology  can  be   valuable  to  them; ◦ Support  the  educational  goals  defined  for  the  application   ◦ Support  for  decision-­‐making  to  suggest  information  and  resources   more  consistent  with  the  context  of  children  with  autism  and,   potentially,  a  variety  of  users.   26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 16 Introduction Background Methods Results Final  Thoughts
  • 17. Conclusions The  proposed  guidelines  should  provide  advances  in  the  state  of  the  art   of  cognitive  Web  accessibility  as:   • Support  material  to  develop  Websites  and  Web  applications  adapted   to  the  needs  of  people  with  ASD,  especially  children;   • A  guidance  documentation  about  best  practices  and  potential   challenges  about  interaction  of  people  with  ASD  with  interactive   systems;   • An  open  source  repository  of  recommendations  in  constant  update; • A  complement  to  literature  regarding  the  biases  of  Web  accessibility   for  people  with  cognitive  or  neuronal  disabilities,  adding  techniques   related  to  ASD. 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 17 Introduction Background Methods Results Final  Thoughts
  • 18. Further  work § Interview  parents  and  teacher  of  children  with  ASD  to   understand  their  perspective  about  using  technology  as   an  educational  and  therapeutic  resource  in  order  to   contemplate  their  viewpoint  into  the  guidelines; § Perform  technical  evaluation  of  the  guidelines  with  Web   developers,  accessibility  experts  and  digital  educational   teachers  involved  with  special  education; § Develop  the  final  version  of  all  the  guidelines  with  their   detailed  description  and  examples. 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 18 Introduction Background Methods Results Final  Thoughts
  • 19. References 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 19 [1]  C.  for  D.  C.  and  Prevention,  “Prevalence  of  Autism  Spectrum  Disorders,”  MMRW,  vol.  61,  no.  3,  pp.  1–19,   2012. [2]  P.  T.  Ozand,  A.  Al-­‐odaib,  H.  Merza,  and  S.  Al  Harbi,  “Autism  :  a  review,”  J.  Pediatr.  Neurol.,  vol.  1,  no.  2,  pp.   55–67,  2003. [3]  A.  P.  Association,  Diagnostic  and  Statistical   Manual  of  Mental  Disorders  (DSM),  Fifth.  United  States:   American  Psychological  Association,  2013. [4]  C.  A.  Gadia,  R.  Tuchman,  and  N.  T.  Rotta,  “Autism  and  pervasive  developmental  disorders,”  J.  Pediatr.,  vol.   80,  no.  2,  pp.  83–94,  2004. [5]  H.  J.  Carrer,  E.  B.  Pizzolato,  and  C.  Goyos,  “Evaluation  of  educational  software  with  speech   recognition  in   individuals  with  normal  development  and  language  delay,”   Rev.  Bras.  Informática na Educ.,  vol.  17,  no.  3,  pp.   67–81,  2009. [6]  L.  Millen,  R.  Edlin-­‐White,  and  S.  Cobb,  “The  development  of  educational  collaborative  virtual  environments   for  children  with  autism,”  Proceedings  of  5th  Cambridge  Workshop  on  Universal  Access  and  Assistive   Technology  (CWUAAT  2010),  2010,  pp.  1–7. [7]  C.  Putnam  and  L.  Chong,  “Software  and  technologies  designed  for  people  with  autism:  what  do  users   want?,”  Proceedings  of  the  10th  Int.  ACM  SIGACCESS  Conf.  Comput.  Access.,   pp.  3–10,  2008. [8]  A.  Battocchi,   A.  Ben-­‐Sasson,  G.  Esposito,  E.  Gal,  F.  Pianesi,  D.  Tomasini,  P.  Venuti,   P.  Weiss,  and  M.   Zancanaro,  “Collaborative  puzzle  game:  a  tabletop  interface  for  fostering  collaborative  skills  in  children  with   autism  spectrum  disorders,”  J.  Assist.  Technol.,  vol.  4,  no.  1,  pp.  4–13,  2010.
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  • 21. References [16]  AssistiveWare,  “Proloquo2Go,”  2014.  [Online].  Available from:  http://www.assistiveware.com/product/proloquo2go   2016.03.19 [17]  PuzzlePiece,  “PuzzlePiece,”  2014.  [Online].  Available from:  https://www.getpuzzlepiece.com/  2016.03.19 [18]  J.  Mankoff,  G.  R.  Hayes,  and D.  Kasnitz,  “Disabilitystudies as  a  source of critical inquiry for  the fieldof assistive technology,”  Proceedings of 12th  Int.  ACM  SIGACCESS  Conf.  Comput.  Access.  -­‐ ASSETS  ’10,  p.  3,  2010. [19]  D.  Moore,  “Computer-­‐BasedLearning  Systems  for  People  with Autism,”  in  Disabled Students in  Education:   Technology,  Transition,  and Inclusivity,  D.  Moore,  A.  Gorra,  M.  Adams,  J.  Reaney,  and H.  Smith,  Eds.  Hershey,  PA:  IGI   Global,  pp.  84–107,  2012. [20]  K.  Sitdhisanguanand N.  Chotikakamthorn,   “Using tangible user interfaces  in  computer-­‐basedtraining  systems  for   low-­‐functioning autistic children,”  Pers.  Ubiquitous Comput.,  vol.  16,  no.  2,  pp.  143–155,  2012. [21]  M.  G.  Friedman  and D.  N.  Bryen,  “Web  accessibilitydesign  recommendations for  people withcognitive disabilities,”   Technol.  Disabil.,  vol.  19,  pp.  205–212,  2007. [22]  L.  Seemanand M.  Cooper,  “Cognitive AccessibilityUser Research,”  2015.  [Online].  Available from:   http://w3c.github.io/coga/user-­‐research/  2016.03.19 [23]  WebAIM,  “Evaluating Cognitive Web  AccessibilitywithWAVE,”  2014.  [Online].  Available from:   http://wave.Webaim.org/cognitive 2016.03.19 [24]  S.  Abou-­‐Zahra,  “How People  with Disabilities Use  the Web.  Status:  Draft  Updated 1  August  2012,”  2012.  [Online].   Available from:  http://www.w3.org/WAI/intro/people-­‐use-­‐Web/diversity2016.03.19 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 21
  • 22. References [25]  H.  van  Rijn and P.  J.  Stappers,  “The  Puzzling Life  of Autistic Toddlers:  Design  Guidelines from the LINKX  Project,”  Adv.  Human-­‐Computer  Interact.,  vol.  2008,  pp.  1–8,  2008. [26]  A.  L.  Wainer  and B.  R.  Ingersoll,  “The  use  of innovative computer technology for  teaching social   communication  to individuals with autism spectrum disorders,”   Res.  Autism Spectr.  Disord.,  vol.  5,  no.   1,  pp.  96–107,  2011. [27]  P.  L.  T.  Weiss,  E.  Gal,  S.  Eden,  M.  Zancanaro,  and F.  Telch,  “Usability of a  Multi-­‐Touch Tabletop Surface to Enhance Social  Competence Training  for  Children with Autism Spectrum  Disorder,”   Proceedings of the Chais Conference on Instructional Technologies  Research:  Learning  in  the technological era,  2011,  pp.  71–78. [28]  F.  K.  Lau,  A.  H.  K.  Yuen,  and J.  M.  G.  Lian,  “Adapted design  of multimedia-­‐facilitated language learning programfor  children with autism,”  Psicol.  Esc.  e  Educ.,  vol.  11,  no.  spe,  pp.  13–26,  2007. [29]  C.  Putnam  and L.  Chong,  “Software  and technologies designed for  people with autism:  what do   users want?,”  in  Proceedings of the 10th  international ACM  SIGACCESS  conference on Computers and accessibility,   2008,  pp.  3–10. [30]  D.  Poulson and C.  Nicolle,  “Making the Internet  accessible for  people with cognitive and communication  Impairments,”  Univers.  Access  Inf.  Soc.,  vol.  3,  no.  1,  pp.  48–56,  2004. [31]  N.  C.  of U.  D.  for  L.  UDLCenter,  “UDL  Guidelines – Version 2.0,”  National Center  of Universal  Design   for  Learning,  2012.  [Online].  Available from:  http://www.udlcenter.org/aboutudl/udlguidelines 2016.03.19   26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 22
  • 23. Thank  you! Grazie! TALITA.CPB@GMAIL.COM EDNALDO@DC.UFSCAR.BR HTTP://GITHUB.COM/TALITAPAGANI/GAIA 26/04/16 NINTH  INTERNATIONAL  CONFERENCE  ON  ADVANCES  IN  COMPUTER-­‐HUMAN  INTERACTIONS 23