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Is	
  Your	
  Intelligent	
  Computer	
  	
  
Smart	
  Enough	
  
To	
  Be	
  on	
  My	
  Team?	
  
Barbara	
  J.	
  Grosz	
  
School	
  of	
  Engineering	
  and	
  Applied	
  Sciences	
  
Harvard	
  University	
  
	
  
Acknowledgements:	
  Nuance	
  FoundaEon	
  	
  
	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Background:	
  A	
  Par@cular	
  	
  
Turing	
  Predic@on	
  
}  “.	
  .	
  .	
  The	
  original	
  quesEon,	
  ‘Can	
  machines	
  think?’	
  I	
  
believe	
  to	
  be	
  too	
  meaningless	
  to	
  deserve	
  discussion.	
  
Nevertheless	
  I	
  believe	
  that	
  at	
  the	
  end	
  of	
  the	
  century	
  
the	
  use	
  of	
  words	
  and	
  general	
  educated	
  opinion	
  will	
  
have	
  altered	
  so	
  much	
  that	
  one	
  will	
  be	
  able	
  to	
  speak	
  of	
  
machines	
  thinking	
  without	
  expec5ng	
  to	
  be	
  
contradicted.	
  .	
  .”	
  
	
  
	
  
“Computing Machinery and Intelligence”,
Mind, 1950. p. 442
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
What	
  Ques@on	
  Might	
  Turing	
  Pose	
  Now?	
  	
  
}  SeOng:	
  Agents	
  and	
  people	
  work	
  together	
  on	
  
nontrivial	
  task,	
  	
  extended	
  in	
  Eme,	
  in	
  an	
  uncertain,	
  
dynamic	
  environment.	
  	
  
	
  
}  Can	
  a	
  computer	
  (agent)	
  team-­‐member	
  behave,	
  over	
  
the	
  long-­‐term,	
  in	
  such	
  a	
  way	
  that	
  people	
  on	
  the	
  team	
  
will	
  not	
  noEce	
  it’s	
  not	
  human	
  or	
  think	
  it’s	
  stupid.	
  	
  
Grosz,	
  Turing	
  Research	
  Symposium,	
  University	
  of	
  Edinburgh	
  &	
  Royal	
  
Society	
  of	
  Edinburgh,	
  11	
  May	
  2012;	
  AI	
  Magazine,	
  33:4,	
  2012;	
  The	
  
Atlan2c	
  blog,	
  August	
  2012.	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Why	
  Teamwork?	
  
Canonical	
  Compu@ng	
  Environment	
  Now	
  
From “Computing Machinery and Intelligence” and
“Can MachinesThink?” toTeamwork
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Why	
  Teamwork?	
  
Arguments	
  from	
  Cogni@ve	
  Science	
  	
  
}  It’s	
  fundamental:	
  “Every	
  funcEon	
  in	
  the	
  child's	
  cultural	
  
development	
  appears	
  twice:	
  first,	
  on	
  the	
  social	
  level,	
  and	
  
later,	
  on	
  the	
  individual	
  level	
  .	
  .	
  .	
  	
  All	
  the	
  higher	
  func5ons	
  
originate	
  as	
  actual	
  rela5ons	
  between	
  human	
  
individuals.”	
  (Vygotsky,	
  1978,	
  pp.	
  56-­‐57)	
  
	
  
}  Language	
  is	
  interpersonal,	
  cooperaEve:	
  
}  “Infants	
  depend	
  in	
  both	
  their	
  comprehension	
  and	
  producEon	
  of	
  
poinEng	
  on	
  a	
  joint	
  ahenEonal	
  frame	
  (common	
  ground)	
  with	
  their	
  
communicaEve	
  partners	
  .	
  .	
  .	
  And	
  they	
  do	
  this	
  for	
  the	
  
fundamentally	
  coopera5ve	
  mo5ves	
  of	
  helping	
  and	
  sharing	
  
informaEon	
  and	
  aOtudes	
  .	
  .	
  .”	
  (Tomasello,	
  et	
  al.,	
  2007,	
  p.	
  720)	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Teamwork	
  Is	
  Not	
  Easy:	
  Essen@al	
  Match	
  of	
  
Abili@es	
  to	
  Tasks	
  and	
  Roles	
  or	
  .	
  .	
  .	
  	
  
Source: http://msdn.microsoft.com
Interac@ve	
  Intelligence	
  and	
  	
  
Health	
  Care	
  Coordina@on	
  
new	
  twists:	
  
loosely	
  coupled	
  team	
  members	
  
team	
  of	
  peers	
  (limited/no	
  hierarchy)	
  
relaEvely	
  long	
  Eme	
  horizon	
  (not	
  “one-­‐shot”)	
  
	
  
My	
  current	
  research	
  focus:	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Research	
  Program	
  Framing:	
  Design/Build	
  
	
  Collabora@ve	
  Computer	
  Agents	
  
Models	
  and	
  algorithms	
  for	
  efficient	
  
decision-­‐making	
  under	
  uncertainty	
  	
  Formal	
  models	
  of	
  collaboraEon	
  
Methods	
  for	
  supporEng	
  communicaEon	
  
and	
  informaEon	
  sharing	
  
Methods	
  for	
  analyzing	
  and	
  learning	
  people’s	
  
percepEons	
  of	
  agent	
  behavior	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Theore@cal	
  Founda@ons:	
  
SharedPlans	
  Theory	
  
}  Each	
  team	
  members	
  commits	
  to	
  team’s	
  performance	
  
of	
  the	
  group	
  acEvity;	
  requires	
  model	
  of	
  inten2on.	
  
}  Team	
  members	
  reach	
  consensus	
  on	
  a	
  (high-­‐level)	
  
“recipe”,	
  recipes	
  may	
  be	
  par2al,	
  revised	
  over	
  2me.	
  	
  
}  Team	
  reaches	
  consensus	
  on	
  allocaEon	
  of	
  (subtasks),	
  
taking	
  into	
  account	
  agents’	
  capabiliEes.	
  	
  
}  Team	
  members	
  commit	
  to	
  assigned	
  subtasks.	
  
}  Team	
  members	
  commit	
  to	
  each	
  others’	
  success.	
  	
  
Theory	
  implicitly	
  requires	
  group	
  decision	
  making	
  processes.	
  
(Grosz&Kraus, 1996,1999; Hunsberger,
1999; Grosz&Hunsberger, 2006 )	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Theory	
  As	
  Inspira@on	
  and	
  Design	
  Guide:	
  
Collabora@ve	
  Interfaces	
  I:	
  
What’s	
  the	
  right	
  
division	
  of	
  labor?	
  	
  
Writer’s	
  Aid	
  (Babaian,
Grosz, Shieber, 2002)	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Theory	
  As	
  Inspira@on	
  and	
  Design	
  Guide:	
  
Collabora@ve	
  Interfaces	
  II:	
  
Detailed	
  descripEon	
  of	
  
students’	
  interacEons	
  
Condensed	
  presentaEon	
  
of	
  students’	
  interacEons	
  
Direct	
  feedback	
  from	
  
teacher	
  to	
  students	
  
Complemen2ng	
  and	
  working	
  
well	
  with	
  people.	
  
S-­‐CASTS	
  (Reddy et al., 2009; Gal, Reddy,
Shieber, Rubin, Grosz, 2012)	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Problem:	
  	
  
Interrup@on	
  Management	
  
drive	
  	
  
home	
  	
  
Route	
  A	
   Route	
  B	
  
0.9	
   0.1	
  
drive	
  	
  
home	
  	
  
Route	
  A	
  
Agent	
  
(Observe/
Help)	
  	
  
Recipient	
  
Communicate?	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Problem:	
  	
  
Interrup@on	
  Management	
  
drive	
  	
  
home	
  	
  
Route	
  A	
   Route	
  B	
  
0.9	
   0.1	
  
drive	
  	
  
home	
  	
  
Route	
  A	
  
Inform	
  
if	
  Expected	
  U@lity>Cost	
  Agent	
  
(Observe/
Help)	
  	
  
Recipient	
  
Surprise!	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
A	
  New	
  Representa@on:	
  	
  
Probabilis@c	
  Recipe	
  Trees	
  (Kamar,	
  2010)	
  
May 20, 2015 Slide 14
Expected
Duration:
19 min
min10 min5 min3 min10 min14 min2 min2
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Inform	
  Decisions	
  
May 20, 2015
Ece Kamar - Harvard University
Slide 15
Expected
Duration:
47.8 min
min5 min3 min10 min14 min2 min242 min
Route A
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Inform	
  Decisions	
  
May 20, 2015
Ece Kamar - Harvard University
Slide 16
Expected
Duration:
28 min
min10 min14 min2 min2
0.11.00.0 0.0
Route A
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Interrupt	
  to	
  Inform?	
  
EU( )
Updated Plan
EU( )
Original Plan
>	
  
Communicate	
  if	
  the	
  gain	
  is	
  bigger	
  than	
  the	
  cost	
  of	
  
communicaEon	
  and	
  interrupEon	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
The	
  Vision	
  and	
  the	
  Challenges	
  
}  “Turing	
  Challenge”:	
  Can	
  a	
  computer	
  (agent)	
  team-­‐
member	
  behave,	
  over	
  the	
  long-­‐term,	
  in	
  such	
  a	
  way	
  
that	
  people	
  on	
  the	
  team	
  will	
  not	
  no2ce	
  it’s	
  not	
  human	
  
or	
  think	
  it’s	
  stupid.	
  	
  
}  Test	
  Environment:	
  Health	
  Care	
  Coordina2on	
  	
  
}  Vision:	
  Care	
  Augmen2ng	
  SoQware	
  Partners	
  
(CASPERs)	
  
}  AI	
  scienEfic	
  challenges	
  (MAS,	
  AI)	
  arise	
  from	
  	
  
}  demands	
  of	
  coordinaEng	
  care	
  
}  needs	
  for	
  improving	
  communicaEon	
  between	
  paEents	
  and	
  
medical	
  providers	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Parents
Primary
Care
Provider
Physical
Therapist
Neurologist
School nurse
Camp
counselor
Health
aide
Teacher
Speech
Therapist
GI
The	
  Care	
  for	
  Children	
  with	
  Complex	
  
Chronic	
  Condi@ons	
  (Amir,	
  Grosz,	
  Law	
  &	
  Stern,	
  AAMAS	
  2013)	
  
Project	
  in	
  collabora2on	
  with	
  the	
  Complex	
  Primary	
  
Care	
  Clinic,	
  	
  Stanford	
  University	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Parents
Primary
Care
Provider
Physical
Therapist
Neurologist
School nurse
Camp
counselor
Health
aide
Teacher
Speech
Therapist
GI
The	
  Care	
  for	
  Children	
  with	
  Complex	
  
Chronic	
  Condi@ons	
  (Amir,	
  Grosz,	
  Law	
  &	
  Stern,	
  AAMAS	
  2013)	
  
The Problem: care for children with
complex conditions is poorly coordinated,
leading to unmet health needs and
preventable health care crises
Project	
  in	
  collabora2on	
  with	
  the	
  Complex	
  Primary	
  
Care	
  Clinic,	
  	
  Stanford	
  University	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Team-­‐Based	
  Care	
  Plans	
  for	
  Improved	
  
Coordina@on	
  (LPFCH,	
  2014)	
  
Goals Actions Caregivers
Move to
oral feeds
•  Improve mouth muscle tone
•  Adjust formula for weight
gain
PCP, GI, OT,
nutritionist
Start
daycare
•  Minimize need for tube
feeds
•  Assess therapy needs
Parents, PCP,
nutritionist,
home nurse
Go on
family trip
•  Arrange portable equipment
•  Arrange funding and
transportation
Parents, PCP,
PT, social
worker
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Team-­‐Based	
  Care	
  Plans	
  for	
  Improved	
  
Coordina@on	
  (LPFCH,	
  2014)	
  
Goals Actions Caregivers
Move to
oral feeds
•  Improve mouth muscle tone
•  Adjust formula for weight
gain
PCP, GI, OT,
nutritionist
Start
daycare
•  Minimize need for tube
feeds
•  Assess therapy needs
Parents, PCP,
nutritionist,
home nurse
Go on
family trip
•  Arrange portable equipment
•  Arrange funding and
transportation
Parents, PCP,
PT, social
worker
Rationale: everybody “on the same page”
In practice: rarely deployed or consulted
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Study	
  of	
  Complex	
  Care	
  Teams	
  
(Amir,	
  Grosz,	
  Gajos,	
  Swenson,	
  and	
  Sanders,	
  2015)	
  
}  “From	
  Care	
  Plans	
  to	
  Care	
  Coordina@on:	
  Opportuni@es	
  for	
  
Computer	
  Support	
  of	
  Teamwork	
  in	
  Complex	
  Healthcare”	
  	
  
}  Interviews	
  and	
  observaEons	
  of	
  team	
  members:	
  
}  Parents	
  (13)	
  
}  Primary	
  care	
  providers	
  (4)	
  
}  Specialists	
  (4)	
  
}  Therapists	
  (8)	
  
}  Care	
  coordinator	
  (1)	
  
}  Program	
  directors	
  (2)	
  
}  Family	
  services	
  coordinator	
  (1)	
  
}  Social	
  worker	
  (1)	
  
}  Analyzed	
  using	
  affinity	
  diagramming	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Barriers	
  to	
  Effec@ve	
  Care	
  Plan	
  Use:	
  
Complex	
  Teamwork	
  in	
  Complex	
  Care	
  
“FLECS”	
  teamwork	
  characterisEcs:	
  	
  
}  Flat-­‐structure	
  of	
  team	
  
}  Loosely	
  coupled	
  plans	
  and	
  acEviEes	
  
}  Extended	
  duraEon	
  of	
  plans	
  	
  
}  ConEnual	
  distributed	
  revision	
  of	
  plans	
  
}  Syncopated	
  Eme	
  scales	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Flat	
  Structure	
  
No	
  single	
  person	
  in	
  charge:	
  
“We	
  have	
  different	
  goals	
  for	
  different	
  specialists;	
  it	
  is	
  
hard	
  to	
  keep	
  track.”	
  (parent)	
  
Need	
  to	
  priori2ze	
  goals	
  because	
  “everyone	
  wants	
  to	
  
work	
  on	
  everything.”	
  (parent)	
  
	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Loosely	
  Coupled	
  Ac@vi@es	
  
Loose	
  coupling	
  makes	
  appropriate	
  informa5on	
  
sharing	
  hard:	
  
“There	
  isn’t	
  an	
  example	
  when	
  I	
  wasn’t	
  missing	
  
informa2on”	
  	
  (specialist)	
  
“We	
  need	
  to	
  relay	
  informa2on	
  back	
  and	
  
forth...”	
  (parent)	
  
	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Extended	
  Dura@on,	
  
Con@nual	
  Distributed	
  Plan	
  Revision	
  
No	
  mechanism	
  to	
  support	
  plan	
  revision:	
  
	
  
Full-­‐team	
  mee2ngs	
  “totally	
  not	
  
scalable”	
  (specialist)	
  
	
  
“All	
  the	
  status	
  chats	
  have	
  to	
  be	
  provider	
  ini2ated,	
  
and	
  so	
  if	
  you	
  don’t	
  remember	
  to	
  do	
  it	
  or	
  there’s	
  no	
  
one	
  coordina2ng	
  it,	
  it’s	
  like	
  where	
  is	
  it	
  going,	
  where	
  
do	
  you	
  even	
  look	
  for	
  it?”	
  (specialist)	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Syncopated	
  Time	
  Scales	
  
Different	
  frequencies	
  of	
  seeing	
  the	
  pa5ent	
  
}  Primary	
  care	
  providers:	
  	
  3	
  to	
  4	
  2mes	
  a	
  year	
  
}  Specialists:	
  2	
  to	
  3	
  2me	
  a	
  year	
  
}  Therapists:	
  1	
  to	
  3	
  2mes	
  a	
  week	
  
	
  
Different	
  informa5on	
  needs:	
  
“A	
  doctor	
  asks	
  if	
  she	
  is	
  walking	
  and	
  expects	
  a	
  yes/no	
  
answer;	
  a	
  physical	
  therapist	
  will	
  ask	
  how	
  she	
  is	
  walking	
  
and	
  how	
  much	
  progress	
  she	
  has	
  made.”	
  (parent)	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Team-­‐Based	
  Care	
  Plans:	
  Ideal	
  vs.	
  Reality	
  
}  Principles	
  for	
  successful	
  care	
  plan	
  use	
  (LPFCH,	
  2014):	
  
}  “The	
  plan	
  of	
  care	
  is	
  systema2zed	
  as	
  a	
  common,	
  shared	
  
document;	
  it	
  is	
  used	
  consistently	
  by	
  every	
  provider…”	
  
}  “The	
  team	
  monitors	
  progress	
  against	
  goals,	
  provides	
  feedback	
  
and	
  adjusts	
  the	
  plan	
  of	
  care	
  on	
  an	
  ongoing	
  basis…”	
  
}  “Family-­‐centered	
  care	
  teams	
  can	
  access	
  the	
  informa5on	
  they	
  
need	
  to	
  make	
  shared,	
  informed	
  decisions.”	
  
}  Principles	
  are	
  largely	
  not	
  realized	
  in	
  current	
  pracEce;	
  
root	
  cause:	
  FLECS	
  nature	
  of	
  teamwork.	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Team-­‐Based	
  Care	
  Plans:	
  Ideal	
  vs.	
  Reality	
  
}  Principles	
  for	
  successful	
  care	
  plan	
  use	
  (LPFCH,	
  2014):	
  
}  “The	
  plan	
  of	
  care	
  is	
  systema2zed	
  as	
  a	
  common,	
  shared	
  
document;	
  it	
  is	
  used	
  consistently	
  by	
  every	
  provider…”	
  
}  “The	
  team	
  monitors	
  progress	
  against	
  goals,	
  provides	
  feedback	
  
and	
  adjusts	
  the	
  plan	
  of	
  care	
  on	
  an	
  ongoing	
  basis…”	
  
}  “Family-­‐centered	
  care	
  teams	
  can	
  access	
  the	
  informa5on	
  they	
  
need	
  to	
  make	
  shared,	
  informed	
  decisions.”	
  
}  Principles	
  are	
  largely	
  not	
  realized	
  in	
  current	
  pracEce;	
  
root	
  cause:	
  FLECS	
  nature	
  of	
  teamwork.	
  	
  
Research focus: Develop foundations and
technology to better support complex
FLECS teamwork.
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Founda@ons	
  for	
  Design	
  of	
  Systems	
  to	
  
Support	
  Complex	
  Care	
  Teams	
  
SharedPlans	
  (Grosz	
  &	
  Kraus	
  1996)	
  :	
  	
  	
  
A	
  computaEonal	
  theory	
  of	
  collaboraEon	
  
	
  
	
  
	
  
	
  
	
  
“..the	
  capabili2es	
  needed	
  for	
  collabora2on	
  cannot	
  be	
  
patched	
  on	
  but	
  must	
  be	
  designed	
  in	
  from	
  the	
  start.	
  "	
  
	
  
SharedPlans	
  Representa@on	
  
adjust	
  
formula	
  
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
move	
  to	
  
oral	
  feeds	
  
go	
  on	
  
family	
  trip	
  
improve	
  
mouth	
  
muscle	
  tone	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
arrange	
  
equipment	
  {…}	
   {…}	
   {…}	
   {…}	
  
SharedPlans	
  Representa@on	
  
adjust	
  
formula	
  
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
move	
  to	
  
oral	
  feeds	
  
go	
  on	
  
family	
  trip	
  
improve	
  
mouth	
  
muscle	
  tone	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
arrange	
  
equipment	
  {…}	
   {…}	
   {…}	
   {…}	
  
adjust	
  
formula	
  
arrange	
  
equipment	
  
go	
  on	
  
family	
  trip	
  
move	
  to	
  
oral	
  feeds	
  
SharedPlans Representation
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
{…}	
   {…}	
   {…}	
   {…}	
  
improve	
  
mouth	
  
muscle	
  tone	
  
improve	
  
mouth	
  
muscle	
  tone	
  
SharedPlans Representation
adjust	
  
formula	
  
arrange	
  
equipment	
  
go	
  on	
  
family	
  trip	
  
move	
  to	
  
oral	
  feeds	
  
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{…}	
   {…}	
   {…}	
   {…}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Elements	
  of	
  
SharedPlans	
  Theory	
  
}  Consensus	
  on	
  recipe:	
  	
  	
  
}  Recipes	
  may	
  be	
  parEal	
  and	
  evolve	
  over	
  Eme:	
  
}  Team	
  members	
  commit	
  to	
  performance	
  of	
  group	
  
acEvity	
  and	
  to	
  each	
  others’	
  success:	
  
(Grosz&Kraus, 1996,1999; Hunsberger,
1999; Grosz&Hunsberger, 2006 )	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Elements	
  of	
  
SharedPlans	
  Theory	
  
}  Consensus	
  on	
  recipe:	
  	
  	
  
}  Support	
  for	
  providers	
  establishing	
  agreement	
  on	
  high-­‐level	
  
approach,	
  establishing	
  mutual	
  belief.	
  
}  Recipes	
  may	
  be	
  parEal	
  and	
  evolve	
  over	
  Eme:	
  
}  Support	
  dynamically	
  evolving	
  plans.	
  	
  	
  
}  Team	
  members	
  commit	
  to	
  performance	
  of	
  group	
  
acEvity	
  and	
  to	
  each	
  others’	
  success:	
  
}  Support	
  communicaEon	
  and	
  coordinaEon	
  at	
  appropriate	
  
levels	
  and	
  Emes.	
  	
  
(Grosz&Kraus, 1996,1999; Hunsberger,
1999; Grosz&Hunsberger, 2006 )	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Elements	
  of	
  
SharedPlans	
  Theory	
  
}  Consensus	
  on	
  recipe:	
  	
  	
  
}  Support	
  for	
  providers	
  establishing	
  agreement	
  on	
  high-­‐level	
  
approach,	
  establishing	
  mutual	
  belief.	
  
}  Recipes	
  may	
  be	
  parEal	
  and	
  evolve	
  over	
  Eme:	
  
}  Support	
  dynamically	
  evolving	
  plans.	
  	
  	
  
}  Team	
  members	
  commit	
  to	
  performance	
  of	
  group	
  
acEvity	
  and	
  to	
  each	
  others’	
  success:	
  
}  Support	
  communicaEon	
  and	
  coordinaEon	
  at	
  appropriate	
  
levels	
  and	
  Emes.	
  	
  
Key	
  capability:	
  informaEon	
  sharing	
  without	
  informaEon	
  
overload.	
  	
  	
  
(Grosz&Kraus, 1996,1999; Hunsberger,
1999; Grosz&Hunsberger, 2006 )	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Key	
  Roles	
  for	
  Technology	
  for	
  
Suppor@ng	
  Complex	
  Care	
  Teams	
  
}  Make	
  the	
  care	
  plan	
  “ever	
  present”	
  
}  Support	
  plan	
  revision	
  and	
  expansion	
  
}  Support	
  efficient	
  informaEon	
  sharing	
  
Challenges:	
  
}  EliciEng	
  plans	
  
}  Inferring	
  context	
  in	
  plan	
  
}  Reasoning	
  about	
  informaEon	
  sharing	
  
	
  
adjust	
  
formula	
  
Agreement on High-Level Approach,
Mutual Beliefs
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
move	
  to	
  
oral	
  feeds	
  
go	
  on	
  
family	
  trip	
  
improve	
  
mouth	
  
muscle	
  tone	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
arrange	
  
equipment	
  
{…}	
   {…}	
   {…}	
   {…}	
  
Dynamically Evolving Plans
…	
   …	
   …	
   …	
  
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
move	
  to	
  
oral	
  feeds	
  
go	
  on	
  
family	
  trip	
  
improve	
  
mouth	
  
muscle	
  tone	
  
adjust	
  
formula	
  
arrange	
  
equipment	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
{…}	
   {…}	
   {…}	
   {…}	
  
adjust	
  
formula	
  
…	
   …	
   …	
   …	
  
funding	
  &	
  
transportaEon	
  
follow	
  family	
  
prioriEes	
  
move	
  to	
  
oral	
  feeds	
  
go	
  on	
  
family	
  trip	
  
improve	
  
mouth	
  
muscle	
  tone	
  
{parents,	
  primary	
  care	
  provider,	
  
specialists,	
  therapists,	
  community	
  
members}	
  
{primary	
  care	
  
provider,	
  	
  physical	
  
therapist,	
  social	
  
worker}	
  
{primary	
  care	
  provider,	
  
gastroenterologist,	
  occupa2onal	
  
therapist,	
  nutri2onist}	
  
arrange	
  
equipment	
  
Communication and Coordination
{…}	
   {…}	
   {…}	
   {…}	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Ongoing	
  Work:	
  	
  
GoalKeeper	
  (Ofra	
  Amir)	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Parents
PCP
Physical
Therapist
GI
School
nurse
Camp
counselor
Health
aide
Teacher
Speech
Therapist
Neurologist
Beyond	
  Health	
  Care:	
  Plan	
  Coordina@on	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Victims
Police
Fire
Fighter
National
Guard
Politician
Business man
ICU
NGOs Construction
Coordina@ng	
  Rescue	
  and	
  Rebuilding	
  
Psychologist
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Ongoing	
  Work:	
  
Suppor@ng	
  Collabora@ve	
  Wri@ng	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  “Deploying	
  AI	
  Methods	
  to	
  Support	
  Collabora2ve	
  Wri2ng:	
  a	
  Preliminary	
  
Inves2ga2on”,	
  	
  Gehrmann,	
  Urke,	
  Amir	
  and	
  Grosz,	
  CHI	
  2015	
  
	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
No	
  man	
  is	
  an	
  island,	
  	
  
en@re	
  of	
  itself...	
  
(John	
  Donne,	
  1624)	
  
computer
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Giving	
  Turing	
  the	
  Last	
  Word:	
  
Fundamental	
  Knowledge	
  	
  
}  “The	
  whole	
  thinking	
  process	
  is	
  sEll	
  rather	
  mysterious	
  
to	
  us,	
  but	
  I	
  believe	
  the	
  ahempt	
  to	
  make	
  a	
  thinking	
  
machine	
  will	
  help	
  us	
  greatly	
  in	
  finding	
  out	
  how	
  we	
  
think	
  ourselves.”	
  
Typescript,	
  BBC	
  Third	
  Programme	
  
15	
  May	
  1951;	
  reprinted	
  in	
  Shieber,	
  
The	
  Turing	
  Test:	
  Verbal	
  Behavior	
  as	
  
the	
  Hallmark	
  of	
  Intelligence,	
  2004	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
References	
  
SharedPlans:	
  
Barbara	
  J.	
  Grosz	
  and	
  Luke	
  Hunsberger,	
  2006.	
  The	
  Dynamics	
  of	
  IntenEons	
  in	
  CollaboraEve	
  
IntenEonality.	
  	
  	
  In	
  Cogni2ve	
  Systems	
  Research	
  (special	
  issue	
  on	
  Cogni2on,	
  Joint	
  Ac2on	
  and	
  
Collec2ve	
  Inten2onality),	
  7,2-­‐3.	
  	
  
	
  
Luke	
  Hunsberger.	
  1999.	
  “Making	
  SharedPlans	
  More	
  Concise	
  and	
  Easier	
  to	
  Reason	
  About.”	
  
In	
  Intelligent	
  Agents	
  V:	
  Agents	
  Theories,	
  Architectures,	
  and	
  Languages,	
  pp.	
  81-­‐98.	
  Springer	
  Berlin	
  
Heidelberg.	
  
	
  
Barbara	
  Grosz	
  and	
  Sarit	
  Kraus.	
  1999.	
  The	
  EvoluEon	
  of	
  SharedPlans.	
  Founda2ons	
  of	
  Ra2onal	
  
Agencies,	
  A.	
  Rao	
  and	
  M.	
  Wooldridge,	
  eds.,	
  Kluwer	
  Academic	
  Press,	
  	
  pp.	
  227-­‐262.	
  
	
  
Barbara	
  J.	
  Grosz	
  and	
  Sarit	
  Kraus.	
  1996.	
  CollaboraEve	
  Plans	
  for	
  Complex	
  Group	
  AcEon.	
  In	
  Ar2ficial	
  
Intelligence	
  86(2),	
  pp.	
  269-­‐357.	
  	
  Awarded	
  IFAAMAS	
  Influen2al	
  Paper	
  Award,	
  2007.	
  	
  
	
  
SharedPlans	
  for	
  dialogue:	
  Karen	
  E.	
  Lochbaum.	
  1998.	
  A	
  collaboraEve	
  planning	
  model	
  of	
  
intenEonal	
  structure.	
  Computa2onal	
  Linguis2cs.	
  24,	
  4	
  (December	
  1998),	
  525-­‐572.	
  
	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
References	
  
Collabora@ve	
  interfaces:	
  	
  
S-­‐CASTS:	
  Ya'akov	
  Gal,	
  Swapna	
  Reddy,	
  Stuart	
  Shieber,	
  Andee	
  Rubin,	
  and	
  Barbara	
  Grosz.	
  2012.	
  
Plan	
  RecogniEon	
  in	
  Exploratory	
  Domains.	
  Ar2ficial	
  Intelligence.	
  176(1):	
  pp.	
  2270—2290.	
  
	
  	
  
WAID:	
  Tamara	
  Babaian,	
  Barbara	
  J.	
  Grosz	
  and	
  Stuart	
  M.	
  Shieber.	
  	
  2002	
  A	
  Writer’s	
  CollaboraEve	
  Aid.	
  
Proceedings	
  of	
  the	
  Intelligent	
  User	
  Interfaces	
  Conference	
  (IUI-­‐2002),	
  San	
  Francisco,	
  CA.	
  	
  January	
  13-­‐16.	
  	
  
ACM	
  Press.	
  	
  pp.	
  7-­‐14.	
  
	
  	
  
Colored	
  Trails	
  MAS	
  Testbed:	
  	
  
Ya’akov	
  Gal,	
  Barbara	
  Grosz,	
  Sarit	
  Kraus,	
  Avi	
  Pfeffer,	
  Stuart	
  Shieber.	
  2010.	
  Agent	
  Decision-­‐Making	
  in	
  
Open	
  Mixed	
  Networks.	
  Ar2ficial	
  Intelligence,	
  174(18):	
  pp.	
  1460-­‐1480.	
  
	
  	
  
Interrup@on	
  Management:	
  
Ece	
  Kamar,	
  Kobi	
  Gal,	
  and	
  Barbara	
  Grosz.	
  2013.	
  Modeling	
  InformaEon	
  Exchange	
  OpportuniEes	
  for	
  
EffecEve	
  Human-­‐computer	
  Teamwork.	
  Ar2ficial	
  Intelligence	
  195:528–550.	
  
	
  	
  
Ece	
  Kamar,	
  Ya'akov	
  Gal,	
  and	
  Barbara	
  J.	
  Grosz.	
  2009.	
  IncorporaEng	
  helpful	
  behavior	
  into	
  collaboraEve	
  
planning.	
  In	
  Proceedings	
  of	
  The	
  8th	
  Interna2onal	
  Conference	
  on	
  Autonomous	
  Agents	
  and	
  Mul2agent	
  
Systems	
  -­‐	
  Volume	
  2	
  (AAMAS	
  '09),	
  Vol.	
  2.	
  InternaEonal	
  FoundaEon	
  for	
  Autonomous	
  Agents	
  and	
  
MulEagent	
  Systems,	
  Richland,	
  SC,	
  pp.	
  875-­‐882.	
  
	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
References	
  
Informa@on	
  Sharing	
  for	
  Care	
  Coordina@on	
  and	
  Collabora@ve	
  Work:	
  
Ofra	
  Amir,	
  Barbara	
  Grosz,	
  Krzysztof	
  Gajos,	
  Sonja	
  Swenson,	
  and	
  Lee	
  Sanders.	
  
2015.	
  From	
  Care	
  Plans	
  to	
  Care	
  CoordinaEon:	
  OpportuniEes	
  for	
  Computer	
  
Support	
  of	
  Teamwork	
  in	
  Complex	
  Healthcare.”	
  In	
  Proceedings	
  of	
  the	
  33rd	
  
Annual	
  ACM	
  Conference	
  Extended	
  Abstracts	
  on	
  Human	
  Factors	
  in	
  Compu2ng	
  
Systems.	
  Seoul,	
  South	
  Korea.	
  April	
  18-­‐23,	
  2015.	
  pp.	
  1419-­‐1428	
  
	
  	
  
Ofra	
  Amir,	
  Barbara	
  J.	
  Grosz,	
  Edith	
  Law,	
  and	
  Roni	
  Stern.	
  2013.	
  CollaboraEve	
  
Health	
  Care	
  Plan	
  Support.	
  Proceedings	
  of	
  the	
  12th	
  Interna2onal	
  Conference	
  
on	
  Autonomous	
  Agents	
  and	
  Mul2agent	
  Systems	
  (AAMAS	
  2013),	
  Ito,	
  Jonker,	
  
Gini,	
  and	
  Shehory	
  (eds.).	
  pp.	
  793-­‐796.	
  Second	
  Prize,	
  Compu2ng	
  Community	
  
Consor2um/AAMAS2013	
  Challenges	
  and	
  Visions	
  Track	
  
	
  	
  
SebasEan	
  Gehrmann,	
  Lauren	
  Urke,	
  Ofra	
  Amir,	
  and	
  Barbara	
  J	
  Grosz.	
  2015.	
  
Deploying	
  AI	
  Methods	
  to	
  Support	
  CollaboraEve	
  WriEng:	
  A	
  Preliminary	
  
InvesEgaEon.	
  In	
  Proceedings	
  of	
  the	
  33rd	
  Annual	
  ACM	
  Conference	
  Extended	
  
Abstracts	
  on	
  Human	
  Factors	
  in	
  Compu2ng	
  Systems.	
  Seoul,	
  South	
  Korea.	
  April	
  
18-­‐23,	
  2015.	
  pp.	
  917-­‐922.	
  	
  
Barbara J. GroszSmart Enough To Be
On My Team
IBM CSIG
May 2015
Thanks!	
  
	
  
Collaborators: Ofra Amir, Krzysztof Gajos
Harvard SEAS; Sonja Swenson, Lee Sanders
Stanford University Medical School.
	
  
Research supported in part by Nuance
Foundation.
	
  
QuesEons?	
  	
  

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Ibm cog comp_may2015_handanimate

  • 1. Is  Your  Intelligent  Computer     Smart  Enough   To  Be  on  My  Team?   Barbara  J.  Grosz   School  of  Engineering  and  Applied  Sciences   Harvard  University     Acknowledgements:  Nuance  FoundaEon        
  • 2. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Background:  A  Par@cular     Turing  Predic@on   }  “.  .  .  The  original  quesEon,  ‘Can  machines  think?’  I   believe  to  be  too  meaningless  to  deserve  discussion.   Nevertheless  I  believe  that  at  the  end  of  the  century   the  use  of  words  and  general  educated  opinion  will   have  altered  so  much  that  one  will  be  able  to  speak  of   machines  thinking  without  expec5ng  to  be   contradicted.  .  .”       “Computing Machinery and Intelligence”, Mind, 1950. p. 442
  • 3. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 What  Ques@on  Might  Turing  Pose  Now?     }  SeOng:  Agents  and  people  work  together  on   nontrivial  task,    extended  in  Eme,  in  an  uncertain,   dynamic  environment.       }  Can  a  computer  (agent)  team-­‐member  behave,  over   the  long-­‐term,  in  such  a  way  that  people  on  the  team   will  not  noEce  it’s  not  human  or  think  it’s  stupid.     Grosz,  Turing  Research  Symposium,  University  of  Edinburgh  &  Royal   Society  of  Edinburgh,  11  May  2012;  AI  Magazine,  33:4,  2012;  The   Atlan2c  blog,  August  2012.  
  • 4. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Why  Teamwork?   Canonical  Compu@ng  Environment  Now   From “Computing Machinery and Intelligence” and “Can MachinesThink?” toTeamwork
  • 5. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Why  Teamwork?   Arguments  from  Cogni@ve  Science     }  It’s  fundamental:  “Every  funcEon  in  the  child's  cultural   development  appears  twice:  first,  on  the  social  level,  and   later,  on  the  individual  level  .  .  .    All  the  higher  func5ons   originate  as  actual  rela5ons  between  human   individuals.”  (Vygotsky,  1978,  pp.  56-­‐57)     }  Language  is  interpersonal,  cooperaEve:   }  “Infants  depend  in  both  their  comprehension  and  producEon  of   poinEng  on  a  joint  ahenEonal  frame  (common  ground)  with  their   communicaEve  partners  .  .  .  And  they  do  this  for  the   fundamentally  coopera5ve  mo5ves  of  helping  and  sharing   informaEon  and  aOtudes  .  .  .”  (Tomasello,  et  al.,  2007,  p.  720)    
  • 6. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Teamwork  Is  Not  Easy:  Essen@al  Match  of   Abili@es  to  Tasks  and  Roles  or  .  .  .     Source: http://msdn.microsoft.com
  • 7. Interac@ve  Intelligence  and     Health  Care  Coordina@on   new  twists:   loosely  coupled  team  members   team  of  peers  (limited/no  hierarchy)   relaEvely  long  Eme  horizon  (not  “one-­‐shot”)     My  current  research  focus:    
  • 8. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Research  Program  Framing:  Design/Build    Collabora@ve  Computer  Agents   Models  and  algorithms  for  efficient   decision-­‐making  under  uncertainty    Formal  models  of  collaboraEon   Methods  for  supporEng  communicaEon   and  informaEon  sharing   Methods  for  analyzing  and  learning  people’s   percepEons  of  agent  behavior  
  • 9. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Theore@cal  Founda@ons:   SharedPlans  Theory   }  Each  team  members  commits  to  team’s  performance   of  the  group  acEvity;  requires  model  of  inten2on.   }  Team  members  reach  consensus  on  a  (high-­‐level)   “recipe”,  recipes  may  be  par2al,  revised  over  2me.     }  Team  reaches  consensus  on  allocaEon  of  (subtasks),   taking  into  account  agents’  capabiliEes.     }  Team  members  commit  to  assigned  subtasks.   }  Team  members  commit  to  each  others’  success.     Theory  implicitly  requires  group  decision  making  processes.   (Grosz&Kraus, 1996,1999; Hunsberger, 1999; Grosz&Hunsberger, 2006 )  
  • 10. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Theory  As  Inspira@on  and  Design  Guide:   Collabora@ve  Interfaces  I:   What’s  the  right   division  of  labor?     Writer’s  Aid  (Babaian, Grosz, Shieber, 2002)  
  • 11. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Theory  As  Inspira@on  and  Design  Guide:   Collabora@ve  Interfaces  II:   Detailed  descripEon  of   students’  interacEons   Condensed  presentaEon   of  students’  interacEons   Direct  feedback  from   teacher  to  students   Complemen2ng  and  working   well  with  people.   S-­‐CASTS  (Reddy et al., 2009; Gal, Reddy, Shieber, Rubin, Grosz, 2012)  
  • 12. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Problem:     Interrup@on  Management   drive     home     Route  A   Route  B   0.9   0.1   drive     home     Route  A   Agent   (Observe/ Help)     Recipient   Communicate?    
  • 13. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Problem:     Interrup@on  Management   drive     home     Route  A   Route  B   0.9   0.1   drive     home     Route  A   Inform   if  Expected  U@lity>Cost  Agent   (Observe/ Help)     Recipient   Surprise!  
  • 14. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 A  New  Representa@on:     Probabilis@c  Recipe  Trees  (Kamar,  2010)   May 20, 2015 Slide 14 Expected Duration: 19 min min10 min5 min3 min10 min14 min2 min2
  • 15. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Inform  Decisions   May 20, 2015 Ece Kamar - Harvard University Slide 15 Expected Duration: 47.8 min min5 min3 min10 min14 min2 min242 min Route A
  • 16. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Inform  Decisions   May 20, 2015 Ece Kamar - Harvard University Slide 16 Expected Duration: 28 min min10 min14 min2 min2 0.11.00.0 0.0 Route A
  • 17. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Interrupt  to  Inform?   EU( ) Updated Plan EU( ) Original Plan >   Communicate  if  the  gain  is  bigger  than  the  cost  of   communicaEon  and  interrupEon  
  • 18. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 The  Vision  and  the  Challenges   }  “Turing  Challenge”:  Can  a  computer  (agent)  team-­‐ member  behave,  over  the  long-­‐term,  in  such  a  way   that  people  on  the  team  will  not  no2ce  it’s  not  human   or  think  it’s  stupid.     }  Test  Environment:  Health  Care  Coordina2on     }  Vision:  Care  Augmen2ng  SoQware  Partners   (CASPERs)   }  AI  scienEfic  challenges  (MAS,  AI)  arise  from     }  demands  of  coordinaEng  care   }  needs  for  improving  communicaEon  between  paEents  and   medical  providers    
  • 19. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Parents Primary Care Provider Physical Therapist Neurologist School nurse Camp counselor Health aide Teacher Speech Therapist GI The  Care  for  Children  with  Complex   Chronic  Condi@ons  (Amir,  Grosz,  Law  &  Stern,  AAMAS  2013)   Project  in  collabora2on  with  the  Complex  Primary   Care  Clinic,    Stanford  University  
  • 20. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Parents Primary Care Provider Physical Therapist Neurologist School nurse Camp counselor Health aide Teacher Speech Therapist GI The  Care  for  Children  with  Complex   Chronic  Condi@ons  (Amir,  Grosz,  Law  &  Stern,  AAMAS  2013)   The Problem: care for children with complex conditions is poorly coordinated, leading to unmet health needs and preventable health care crises Project  in  collabora2on  with  the  Complex  Primary   Care  Clinic,    Stanford  University  
  • 21. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Team-­‐Based  Care  Plans  for  Improved   Coordina@on  (LPFCH,  2014)   Goals Actions Caregivers Move to oral feeds •  Improve mouth muscle tone •  Adjust formula for weight gain PCP, GI, OT, nutritionist Start daycare •  Minimize need for tube feeds •  Assess therapy needs Parents, PCP, nutritionist, home nurse Go on family trip •  Arrange portable equipment •  Arrange funding and transportation Parents, PCP, PT, social worker
  • 22. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Team-­‐Based  Care  Plans  for  Improved   Coordina@on  (LPFCH,  2014)   Goals Actions Caregivers Move to oral feeds •  Improve mouth muscle tone •  Adjust formula for weight gain PCP, GI, OT, nutritionist Start daycare •  Minimize need for tube feeds •  Assess therapy needs Parents, PCP, nutritionist, home nurse Go on family trip •  Arrange portable equipment •  Arrange funding and transportation Parents, PCP, PT, social worker Rationale: everybody “on the same page” In practice: rarely deployed or consulted
  • 23. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Study  of  Complex  Care  Teams   (Amir,  Grosz,  Gajos,  Swenson,  and  Sanders,  2015)   }  “From  Care  Plans  to  Care  Coordina@on:  Opportuni@es  for   Computer  Support  of  Teamwork  in  Complex  Healthcare”     }  Interviews  and  observaEons  of  team  members:   }  Parents  (13)   }  Primary  care  providers  (4)   }  Specialists  (4)   }  Therapists  (8)   }  Care  coordinator  (1)   }  Program  directors  (2)   }  Family  services  coordinator  (1)   }  Social  worker  (1)   }  Analyzed  using  affinity  diagramming  
  • 24. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Barriers  to  Effec@ve  Care  Plan  Use:   Complex  Teamwork  in  Complex  Care   “FLECS”  teamwork  characterisEcs:     }  Flat-­‐structure  of  team   }  Loosely  coupled  plans  and  acEviEes   }  Extended  duraEon  of  plans     }  ConEnual  distributed  revision  of  plans   }  Syncopated  Eme  scales    
  • 25. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Flat  Structure   No  single  person  in  charge:   “We  have  different  goals  for  different  specialists;  it  is   hard  to  keep  track.”  (parent)   Need  to  priori2ze  goals  because  “everyone  wants  to   work  on  everything.”  (parent)      
  • 26. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Loosely  Coupled  Ac@vi@es   Loose  coupling  makes  appropriate  informa5on   sharing  hard:   “There  isn’t  an  example  when  I  wasn’t  missing   informa2on”    (specialist)   “We  need  to  relay  informa2on  back  and   forth...”  (parent)      
  • 27. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Extended  Dura@on,   Con@nual  Distributed  Plan  Revision   No  mechanism  to  support  plan  revision:     Full-­‐team  mee2ngs  “totally  not   scalable”  (specialist)     “All  the  status  chats  have  to  be  provider  ini2ated,   and  so  if  you  don’t  remember  to  do  it  or  there’s  no   one  coordina2ng  it,  it’s  like  where  is  it  going,  where   do  you  even  look  for  it?”  (specialist)    
  • 28. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Syncopated  Time  Scales   Different  frequencies  of  seeing  the  pa5ent   }  Primary  care  providers:    3  to  4  2mes  a  year   }  Specialists:  2  to  3  2me  a  year   }  Therapists:  1  to  3  2mes  a  week     Different  informa5on  needs:   “A  doctor  asks  if  she  is  walking  and  expects  a  yes/no   answer;  a  physical  therapist  will  ask  how  she  is  walking   and  how  much  progress  she  has  made.”  (parent)  
  • 29. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Team-­‐Based  Care  Plans:  Ideal  vs.  Reality   }  Principles  for  successful  care  plan  use  (LPFCH,  2014):   }  “The  plan  of  care  is  systema2zed  as  a  common,  shared   document;  it  is  used  consistently  by  every  provider…”   }  “The  team  monitors  progress  against  goals,  provides  feedback   and  adjusts  the  plan  of  care  on  an  ongoing  basis…”   }  “Family-­‐centered  care  teams  can  access  the  informa5on  they   need  to  make  shared,  informed  decisions.”   }  Principles  are  largely  not  realized  in  current  pracEce;   root  cause:  FLECS  nature  of  teamwork.    
  • 30. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Team-­‐Based  Care  Plans:  Ideal  vs.  Reality   }  Principles  for  successful  care  plan  use  (LPFCH,  2014):   }  “The  plan  of  care  is  systema2zed  as  a  common,  shared   document;  it  is  used  consistently  by  every  provider…”   }  “The  team  monitors  progress  against  goals,  provides  feedback   and  adjusts  the  plan  of  care  on  an  ongoing  basis…”   }  “Family-­‐centered  care  teams  can  access  the  informa5on  they   need  to  make  shared,  informed  decisions.”   }  Principles  are  largely  not  realized  in  current  pracEce;   root  cause:  FLECS  nature  of  teamwork.     Research focus: Develop foundations and technology to better support complex FLECS teamwork.
  • 31. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Founda@ons  for  Design  of  Systems  to   Support  Complex  Care  Teams   SharedPlans  (Grosz  &  Kraus  1996)  :       A  computaEonal  theory  of  collaboraEon             “..the  capabili2es  needed  for  collabora2on  cannot  be   patched  on  but  must  be  designed  in  from  the  start.  "    
  • 32. SharedPlans  Representa@on   adjust   formula   funding  &   transportaEon   follow  family   prioriEes   move  to   oral  feeds   go  on   family  trip   improve   mouth   muscle  tone   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   arrange   equipment  {…}   {…}   {…}   {…}  
  • 33. SharedPlans  Representa@on   adjust   formula   funding  &   transportaEon   follow  family   prioriEes   move  to   oral  feeds   go  on   family  trip   improve   mouth   muscle  tone   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   arrange   equipment  {…}   {…}   {…}   {…}  
  • 34. adjust   formula   arrange   equipment   go  on   family  trip   move  to   oral  feeds   SharedPlans Representation funding  &   transportaEon   follow  family   prioriEes   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   {…}   {…}   {…}   {…}   improve   mouth   muscle  tone  
  • 35. improve   mouth   muscle  tone   SharedPlans Representation adjust   formula   arrange   equipment   go  on   family  trip   move  to   oral  feeds   funding  &   transportaEon   follow  family   prioriEes   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {…}   {…}   {…}   {…}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}  
  • 36. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Elements  of   SharedPlans  Theory   }  Consensus  on  recipe:       }  Recipes  may  be  parEal  and  evolve  over  Eme:   }  Team  members  commit  to  performance  of  group   acEvity  and  to  each  others’  success:   (Grosz&Kraus, 1996,1999; Hunsberger, 1999; Grosz&Hunsberger, 2006 )  
  • 37. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Elements  of   SharedPlans  Theory   }  Consensus  on  recipe:       }  Support  for  providers  establishing  agreement  on  high-­‐level   approach,  establishing  mutual  belief.   }  Recipes  may  be  parEal  and  evolve  over  Eme:   }  Support  dynamically  evolving  plans.       }  Team  members  commit  to  performance  of  group   acEvity  and  to  each  others’  success:   }  Support  communicaEon  and  coordinaEon  at  appropriate   levels  and  Emes.     (Grosz&Kraus, 1996,1999; Hunsberger, 1999; Grosz&Hunsberger, 2006 )  
  • 38. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Elements  of   SharedPlans  Theory   }  Consensus  on  recipe:       }  Support  for  providers  establishing  agreement  on  high-­‐level   approach,  establishing  mutual  belief.   }  Recipes  may  be  parEal  and  evolve  over  Eme:   }  Support  dynamically  evolving  plans.       }  Team  members  commit  to  performance  of  group   acEvity  and  to  each  others’  success:   }  Support  communicaEon  and  coordinaEon  at  appropriate   levels  and  Emes.     Key  capability:  informaEon  sharing  without  informaEon   overload.       (Grosz&Kraus, 1996,1999; Hunsberger, 1999; Grosz&Hunsberger, 2006 )  
  • 39. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Key  Roles  for  Technology  for   Suppor@ng  Complex  Care  Teams   }  Make  the  care  plan  “ever  present”   }  Support  plan  revision  and  expansion   }  Support  efficient  informaEon  sharing   Challenges:   }  EliciEng  plans   }  Inferring  context  in  plan   }  Reasoning  about  informaEon  sharing    
  • 40. adjust   formula   Agreement on High-Level Approach, Mutual Beliefs funding  &   transportaEon   follow  family   prioriEes   move  to   oral  feeds   go  on   family  trip   improve   mouth   muscle  tone   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   arrange   equipment   {…}   {…}   {…}   {…}  
  • 41. Dynamically Evolving Plans …   …   …   …   funding  &   transportaEon   follow  family   prioriEes   move  to   oral  feeds   go  on   family  trip   improve   mouth   muscle  tone   adjust   formula   arrange   equipment   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   {…}   {…}   {…}   {…}  
  • 42. adjust   formula   …   …   …   …   funding  &   transportaEon   follow  family   prioriEes   move  to   oral  feeds   go  on   family  trip   improve   mouth   muscle  tone   {parents,  primary  care  provider,   specialists,  therapists,  community   members}   {primary  care   provider,    physical   therapist,  social   worker}   {primary  care  provider,   gastroenterologist,  occupa2onal   therapist,  nutri2onist}   arrange   equipment   Communication and Coordination {…}   {…}   {…}   {…}  
  • 43. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Ongoing  Work:     GoalKeeper  (Ofra  Amir)  
  • 44. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Parents PCP Physical Therapist GI School nurse Camp counselor Health aide Teacher Speech Therapist Neurologist Beyond  Health  Care:  Plan  Coordina@on  
  • 45. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Victims Police Fire Fighter National Guard Politician Business man ICU NGOs Construction Coordina@ng  Rescue  and  Rebuilding   Psychologist
  • 46. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Ongoing  Work:   Suppor@ng  Collabora@ve  Wri@ng                    “Deploying  AI  Methods  to  Support  Collabora2ve  Wri2ng:  a  Preliminary   Inves2ga2on”,    Gehrmann,  Urke,  Amir  and  Grosz,  CHI  2015    
  • 47. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 No  man  is  an  island,     en@re  of  itself...   (John  Donne,  1624)   computer
  • 48. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Giving  Turing  the  Last  Word:   Fundamental  Knowledge     }  “The  whole  thinking  process  is  sEll  rather  mysterious   to  us,  but  I  believe  the  ahempt  to  make  a  thinking   machine  will  help  us  greatly  in  finding  out  how  we   think  ourselves.”   Typescript,  BBC  Third  Programme   15  May  1951;  reprinted  in  Shieber,   The  Turing  Test:  Verbal  Behavior  as   the  Hallmark  of  Intelligence,  2004  
  • 49. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 References   SharedPlans:   Barbara  J.  Grosz  and  Luke  Hunsberger,  2006.  The  Dynamics  of  IntenEons  in  CollaboraEve   IntenEonality.      In  Cogni2ve  Systems  Research  (special  issue  on  Cogni2on,  Joint  Ac2on  and   Collec2ve  Inten2onality),  7,2-­‐3.       Luke  Hunsberger.  1999.  “Making  SharedPlans  More  Concise  and  Easier  to  Reason  About.”   In  Intelligent  Agents  V:  Agents  Theories,  Architectures,  and  Languages,  pp.  81-­‐98.  Springer  Berlin   Heidelberg.     Barbara  Grosz  and  Sarit  Kraus.  1999.  The  EvoluEon  of  SharedPlans.  Founda2ons  of  Ra2onal   Agencies,  A.  Rao  and  M.  Wooldridge,  eds.,  Kluwer  Academic  Press,    pp.  227-­‐262.     Barbara  J.  Grosz  and  Sarit  Kraus.  1996.  CollaboraEve  Plans  for  Complex  Group  AcEon.  In  Ar2ficial   Intelligence  86(2),  pp.  269-­‐357.    Awarded  IFAAMAS  Influen2al  Paper  Award,  2007.       SharedPlans  for  dialogue:  Karen  E.  Lochbaum.  1998.  A  collaboraEve  planning  model  of   intenEonal  structure.  Computa2onal  Linguis2cs.  24,  4  (December  1998),  525-­‐572.      
  • 50. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 References   Collabora@ve  interfaces:     S-­‐CASTS:  Ya'akov  Gal,  Swapna  Reddy,  Stuart  Shieber,  Andee  Rubin,  and  Barbara  Grosz.  2012.   Plan  RecogniEon  in  Exploratory  Domains.  Ar2ficial  Intelligence.  176(1):  pp.  2270—2290.       WAID:  Tamara  Babaian,  Barbara  J.  Grosz  and  Stuart  M.  Shieber.    2002  A  Writer’s  CollaboraEve  Aid.   Proceedings  of  the  Intelligent  User  Interfaces  Conference  (IUI-­‐2002),  San  Francisco,  CA.    January  13-­‐16.     ACM  Press.    pp.  7-­‐14.       Colored  Trails  MAS  Testbed:     Ya’akov  Gal,  Barbara  Grosz,  Sarit  Kraus,  Avi  Pfeffer,  Stuart  Shieber.  2010.  Agent  Decision-­‐Making  in   Open  Mixed  Networks.  Ar2ficial  Intelligence,  174(18):  pp.  1460-­‐1480.       Interrup@on  Management:   Ece  Kamar,  Kobi  Gal,  and  Barbara  Grosz.  2013.  Modeling  InformaEon  Exchange  OpportuniEes  for   EffecEve  Human-­‐computer  Teamwork.  Ar2ficial  Intelligence  195:528–550.       Ece  Kamar,  Ya'akov  Gal,  and  Barbara  J.  Grosz.  2009.  IncorporaEng  helpful  behavior  into  collaboraEve   planning.  In  Proceedings  of  The  8th  Interna2onal  Conference  on  Autonomous  Agents  and  Mul2agent   Systems  -­‐  Volume  2  (AAMAS  '09),  Vol.  2.  InternaEonal  FoundaEon  for  Autonomous  Agents  and   MulEagent  Systems,  Richland,  SC,  pp.  875-­‐882.      
  • 51. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 References   Informa@on  Sharing  for  Care  Coordina@on  and  Collabora@ve  Work:   Ofra  Amir,  Barbara  Grosz,  Krzysztof  Gajos,  Sonja  Swenson,  and  Lee  Sanders.   2015.  From  Care  Plans  to  Care  CoordinaEon:  OpportuniEes  for  Computer   Support  of  Teamwork  in  Complex  Healthcare.”  In  Proceedings  of  the  33rd   Annual  ACM  Conference  Extended  Abstracts  on  Human  Factors  in  Compu2ng   Systems.  Seoul,  South  Korea.  April  18-­‐23,  2015.  pp.  1419-­‐1428       Ofra  Amir,  Barbara  J.  Grosz,  Edith  Law,  and  Roni  Stern.  2013.  CollaboraEve   Health  Care  Plan  Support.  Proceedings  of  the  12th  Interna2onal  Conference   on  Autonomous  Agents  and  Mul2agent  Systems  (AAMAS  2013),  Ito,  Jonker,   Gini,  and  Shehory  (eds.).  pp.  793-­‐796.  Second  Prize,  Compu2ng  Community   Consor2um/AAMAS2013  Challenges  and  Visions  Track       SebasEan  Gehrmann,  Lauren  Urke,  Ofra  Amir,  and  Barbara  J  Grosz.  2015.   Deploying  AI  Methods  to  Support  CollaboraEve  WriEng:  A  Preliminary   InvesEgaEon.  In  Proceedings  of  the  33rd  Annual  ACM  Conference  Extended   Abstracts  on  Human  Factors  in  Compu2ng  Systems.  Seoul,  South  Korea.  April   18-­‐23,  2015.  pp.  917-­‐922.    
  • 52. Barbara J. GroszSmart Enough To Be On My Team IBM CSIG May 2015 Thanks!     Collaborators: Ofra Amir, Krzysztof Gajos Harvard SEAS; Sonja Swenson, Lee Sanders Stanford University Medical School.   Research supported in part by Nuance Foundation.   QuesEons?