Definitions, Concepts and Assumptions

  • Péter Baranyi
  • Adam Csapo
  • Gyula Sallai


In this chapter, a description of the scope and goals of CogInfoCom is provided. This is followed by an overview of novel concepts—such as those of mode and type of communication, as well as the more general notion of cognitive capability—which have emerged through the field. Further, a set of assumptions, primarily founded on the existence and consequences of the merging process between humans and ICT, are described in terms of their relevance to CogInfoCom research.


Sensory Modality Merging Process Cognitive Capability Multiple Temporal Scale Cognitive Entity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Baranyi P, Csapo A (2010) Cognitive infocommunications: CogInfoCom. In: 2010 11th international symposium on computational intelligence and informatics (CINTI), Budapest, pp 141–146Google Scholar
  2. Baranyi P, Csapo A (2012) Definition and synergies of cognitive infocommunications. Acta Polytech Hung 9:67–83Google Scholar
  3. Dahlbom B (1996) The new informatics. Scand J Inf Syst 8(2):3Google Scholar
  4. Deacon TW (2011) Incomplete nature: how mind emerged from matter. WW Norton & CompanyGoogle Scholar
  5. Drouin M, Kaiser DH, Miller DA (2012) Phantom vibrations among undergraduates: prevalence and associated psychological characteristics. Comput Hum Behav 28(4):1490–1496CrossRefGoogle Scholar
  6. Gripenberg P (2011) The walking video interview (WVI) as potential technique to tap into the everyday experiences of ICTs. In: IRISGoogle Scholar
  7. Heder M (2014) Emergence and tacit knowledge in machines. Ph.D. thesis.
  8. Hodder I (2012) Entangled. Blackwell PublishingGoogle Scholar
  9. Hodder I (2014) The entanglements of humans and things: a long-term view. New Lit Hist 45(1):19–36CrossRefGoogle Scholar
  10. Hollan J, Hutchins E, Kirsh D (2000) Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans Comput Hum Interact 7(2):174–196CrossRefGoogle Scholar
  11. Pang ASK (2013) The distraction addiction: getting the information you need and the communication you want, without enraging your family, annoying your colleagues, and destroying your soul. Hachette, New YorkGoogle Scholar
  12. Picard RW (2003a) Affective computing: challenges. Int J Hum Comput Stud 59(1):55–64MathSciNetCrossRefGoogle Scholar
  13. Platzer E, Petrovic O (2011) An experimental deprivation study of mobile phones, Internet and TV. Comput Technol Appl 2(8):600–606Google Scholar
  14. Romportl J, Zackova E, Kelemen J (eds) (2015) Beyond artificial intelligence – the disappearing human-machine divide. Topics in intelligent engineering and informatics, vol 9. Springer International Publishing, SwitzerlandGoogle Scholar
  15. Stone L (2011) Just breathe: building the case for email apnea (the huffington post).

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Péter Baranyi
    • 1
    • 2
  • Adam Csapo
    • 2
    • 1
  • Gyula Sallai
    • 3
    • 4
  1. 1.Széchenyi István University GyőrBudapestHungary
  2. 2.Institute for Computer Science and Control of the Hungarian Academy of SciencesBudapestHungary
  3. 3.Budapest University of Technology and EconomicsBudapestHungary
  4. 4.Future Internet Research Coordination CentreUniversity of DebrecenDebrecenHungary

Personalised recommendations