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DHT.5.0	
Workshop:	Distributed	cognition	
in	socio-technical	systems
Kai	Pata
7.05.2017,	Pärnu
15.00-17.00
Aims	of	the	workshop
• What	processes	does	distributed	cognition	model	explain?	What	are	
critical	issues?	
• In	groups:	To	elaborate	with	distributed	cognition	model	what	
services	needed	are	future	socio-technical	systems.	Groups	explain	
future	socio-technical	systems	using	distributed	cognition	model:
• Smart	adaptive	co-creative	city
• Artificially	enhanced	society
• Sustainable	digitally	enhanced	school
• What	HCI	methods	can	be	used	for	collecting	data	to	feed	distributed	
cognition	inspired	research?	What	data	flows	must	be	created?
Distributed	cognition
• Distributed	cognition	approach	(Hollan et	al.,	2000;	Järvilehto,	1998;	
Clark	&	Chalmers,	1998;	Oeberst et	al.,	2016)	sees	cognitive	activities	
inhering	in	social	practices	and	tools	and	artifacts	used	in	those	
practices,	cognition	is	being	extended	to	the	environment	where	
hybrid	network	of	external	and	internal	entities	as	a	coupled	system	
takes	active	part	of	it.
Distributed	cognition	model:	enculturation
Pata &	Bardone,	2014
Ley,	Seitlinger,	Pata,	2016
Distributed	cognition	model	in	semantic	systems
Individual	cognitive	stabilization	
co-occurs	with	enculturation	
processes.
Artifact-mediated	activity	leads	to	
the	formation	and	stabilization	of	
individual	patterns.
Collective	stabilization	is	a	result	
of	individual	pattern	formation	
and	artifact-mediated	social	
feedback.
Distributed	cognition	model	in	informal	learning	in	
digitally	enhanced	work	spaces
Knowledge	is	actively	mediated	between	
epistemic	and	collective	levels	by	
interrelated	maturation	practices for	
cultural	knowledge	focusing	on	the	
“inside-out”	development	of	knowledge,	
and	scaffolding	practices	focusing	on	the	
“outside-in”
development	of	knowledge	by	guiding	
individuals	to	cultural	knowledge	where	
individuals	with	expertise
or	authority,	social	peer-groups,	artifacts	
or	emergent	socio-technical	scaffolds	
(e.g.	measures	of	trust,
validity)	play	a	central	role
Pata,	2016
Socio-technical	system	definition
• Socio-technical	system	is	an	open	system	where	self-organized	users	
conduct	collective	operational	tasks	and	the	system	undertakes	the	
operational	delivery	of	task	objectives	using	the	co-optimized	social	
and	technical	sub-systems	for	task	performance	(Maquire,	2014)
• Socio-technical	systems	provide	services	using	the	collective	
intelligence	of	its	prosumers.
Case	1:	Smart	adaptive	environment
• Smartness	- Smartness	– directedness	to	successive	changes
• Adaptiveness	and	fitness	of	humans	to	smart	environment
• Giovanella,	C.	(2014)	:	The	smartness	or	attractiveness	of	an	ecosystem	does	
not	depend	exclusively	on	its	ability	to	run	“all	gears”	in	an	effective	and	
efficient	manner.	It,	rather,	depends	on	its	ability	to	create	an	environment	
able	to	meet	the	individuals’	basic	needs	and	keep	them	in	a	state	of	positive	
tension	in	which	their	skills	are	stimulated	by	adequate	challenges,	to	favor	
the	achievement	of	the	self-realization	(that	is	a	Flow	state)
Case	2:	Artificially	enhanced	society
• Intercultural	learning	across	agents
• Brain-Artificial	intelligence,	brain-
to-brain	interactions
Cross-species	brain-to- brain	interactions,	neural	
privacy,	loss	of	identity,	coersion,	persons’	conscious	
agency,	data	protection	and	misuse,	hacking	to	brains,	
collective	manipulation
Case	3:	Sustainable	and	reactive	to	societal	
changes	digitally	enhanced	school
• School	has	to	prepare	kids	for	
living	in	AI	improved	society
• Effectiveness	of	resources	
and	approaches
• Sustainability	of	digital	
innovation	in	schools
• Overproduction	and	waste	of	
human	resources,	learning	
resources,	apps,	tools
Task
• In	groups:	elaborate	with	distributed	cognition	model	what	services	
needed	are	future	socio-technical	systems.	Groups	explain	future	
socio-technical	systems	using	distributed	cognition	model:
• Smart	adaptive	co-creative	city
• Artificially	enhanced	society
• Sustainable	digitally	enhanced	school
• What	HCI	methods	can	be	used	for	collecting	data	to	feed	distributed	
cognition	inspired	research?	What	data	flows	must	be	created?

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