Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Workshop distributed cognition

Using distributed cognition model to explain future environments, interactions and school

  • Soyez le premier à commenter

Workshop distributed cognition

  1. 1. DHT.5.0 Workshop: Distributed cognition in socio-technical systems Kai Pata 7.05.2017, Pärnu 15.00-17.00
  2. 2. 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?
  3. 3. 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.
  4. 4. Distributed cognition model: enculturation Pata & Bardone, 2014
  5. 5. 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.
  6. 6. 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
  7. 7. 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.
  8. 8. 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)
  9. 9. 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
  10. 10. 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
  11. 11. 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?

×