Human‐machine Coexistence in Groups Groups George Kampis Paul Lukowicz Stuart Anderson DFKI (German Research Institute for Artificial Intelligence) DFKI (German Research Institute for Artificial Intelligence), Kaiserslautern, Germany Edinburgh University, Edinburgh, United Kingdom 26/09/2013 www.smart‐society‐project.eu
Smart Society George Kampis & Stuart Anderson: Edinburgh University, Paul Lukowicz: DFK
Presentation from ECAL 2013
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Human‐machine Coexistence in GroupsGroups
George Kampis Paul Lukowicz Stuart Anderson DFKI (German Research Institute for Artificial Intelligence)DFKI (German Research Institute for Artificial Intelligence),
Kaiserslautern, Germany
Edinburgh University, Edinburgh, United Kingdom
26/09/2013 www.smart‐society‐project.eu
“ l l” l“classical” telemonitoring
hScoring scheme
lResults Patients like the system – Scoring is de‐personalisedPatients like the system primarily because it gave them privileged access to doctors...
Doctors orried abo t
Scoring is de personalised Contextual factors are excluded
Doctors worried about: High false positive rate Over diagnosis
Difficult to prioritize patients Brittle response even at small scale
Over treatment
“In participants with a history of admission for exacerbations
small scale
of admission for exacerbations of COPD, Telemonitoring was not effective in postponing hospital admissions orhospital admissions or reducing healthcare costs.”
Diagnosis Capturing Context Shifting Context Capturing Context Pervasive and mobile data capture
Shifting Context Individual Global systemicdata capture
lConclusions Focus on Hybridity and Diversity Focus on Hybridity and Diversity Hybridity drives the programming model…Di it d i th d t d l Diversity drives the data model…