Advertisement

Temporal Aspects of CogInfoCom Channel Design

  • Péter Baranyi
  • Adam Csapo
  • Gyula Sallai

Abstract

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.

References

  1. Blake R (2000) Computer mediated communication: a window on l2 Spanish interlanguage. Lang Learn Technol 4(1):120–136Google Scholar
  2. Carazo P, Font E (2010) Putting information back into biological communication. J Evol Biol 23(4):661–669CrossRefGoogle Scholar
  3. Csapo A (2014) Outlines of a framework for progressive representation-bridging coginfocom channels. In: 5th IEEE international conference on cognitive infocommunications, Vietri sul Mare, pp 321–326Google Scholar
  4. Csapo A, Baranyi P (2013) The evolving nature of human-device communication: lessons learned from an example use-case scenario. Infocommun J 5(4):27–32Google Scholar
  5. Granstrom B, House D, Swerts M (2002) Multimodal feedback cues in human-machine interactions. In: International conference on speech prosody 2002Google Scholar
  6. Joosten S (1994) Trigger modelling for workflow analysis. In: Proceedings of CON’94: workflow management, challenges, paradigms and products, pp 236–247Google Scholar
  7. Marentakis G, Brewster SA (2005) A comparison of feedback cues for enhancing pointing efficiency in interaction with spatial audio displays. In: Proceedings of the 7th international conference on human computer interaction with mobile devices & services, pp 55–62Google Scholar
  8. Nass CI, Yen C (2010) The man who lied to his laptop: what machines teach us about human relationships. Current TradeGoogle Scholar
  9. Picard RW (2003a) Affective computing: challenges. Int J Hum Comput Stud 59(1):55–64MathSciNetCrossRefGoogle Scholar
  10. Ruxton GD, Schaefer HM (2011) Resolving current disagreements and ambiguities in the terminology of animal communication. J Evol Biol 24(12):2574–2585CrossRefGoogle Scholar
  11. Scott-Phillips TC, Blythe RA, Gardner A, West SA (2012) How do communication systems emerge? Proc R Soc B Biol Sci 279(1735):1943–1949CrossRefGoogle Scholar
  12. Sharmin S (2003) Evaluating non-visual feedback cues for touch input device. New Interact Tech 2003, p 3Google Scholar

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