single-jc.php

JACIII Vol.16 No.2 pp. 297-304
doi: 10.20965/jaciii.2012.p0297
(2012)

Paper:

CogInfoCom Systems from an Interaction Perspective – A Pilot Application for EtoCom –

Gyorgy Persa*, Adam Csapo*,**, and Péter Baranyi*

*Computer and Automation Research Institute, Hungarian Academy of Sciences, Kende u. 13-17, Budapest 1111, Hungary

**Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 2 Magyar Tudosok Krt., Budapest 1117, Hungary

Received:
September 15, 2011
Accepted:
November 15, 2011
Published:
March 20, 2012
Keywords:
cognitive infocommunications, CogInfo-Com, EtoCom
Abstract

Cognitive Infocommunications (CogInfoCom) is a newly emerging research field that investigates the link between infocommunications and the cognitive sciences, with the goal of creating engineering systems in which artificial and natural cognitive systems can work together more effectively. In this paper, we describe the structure of CogInfoCom systems from an interaction perspective. Through the discussions in this paper, our goal is to further clarify the relationship between CogInfoCom and the various research areas that deal with behavioral and structural systems modeling. In order to demonstrate the theoretical aspects of the subject, we describe a pilot application which was developed during the EtoCom project.

Cite this article as:
G. Persa, A. Csapo, and P. Baranyi, “CogInfoCom Systems from an Interaction Perspective – A Pilot Application for EtoCom –,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.2, pp. 297-304, 2012.
Data files:
References
  1. [1] P. Baranyi and A. Csapo, “Cognitive infocommunications: CogInfoCom,” In Computational Intelligence and Informatics (CINTI), 2010 11th Int. Symposium on, pp. 141-146, 2010.
  2. [2] E. Hollnagel and D.Woods, “Cognitive Systems Engineering: New Wine in New Bottles,” Int. J. of Man-Machine Studies, Vol.18, pp. 583-600, 1983.
  3. [3] C. Szabo, A. Roka, M. Gacsi, A. Miklosi, P. Baranyi, and P. Korondi, “An Emotional Engine Model Inspired by Human-Dog Interaction,” In IEEE Int. Conf. on Robotics and Biomimetics, pp. 567-572, 2010.
  4. [4] M. Mori, “Bukimi no Tani (Uncanny Valley Effect),” Energy, Vol.7, No.4, pp. 33-35, 1970.
  5. [5] A. Kerepesi, E. Kubinyi, G. Jonsson, M. Magnusson, and A. Miklosi, “Behavioural Comparison of Human-Animal (Dog) and Human-Robot (AIBO) Interactions,” Behavioural Processes, Vol.73, pp, 92-99, 2006.
  6. [6] D. Syrdal, K. Dautenhahn, K. Koay, M. Walters, and N. Otero, “Exploring Human Mental Models of Robots Through Explicitation Interviews,” In RO-MAN 2010, pp. 638-645, 2010.
  7. [7] T. Farago, V. Konok, and M. Gacsi, “Humans are Able to Recognize Emotions by Behavioural Expressions of an Abstract Artificial Agent,” In 2nd Int. Conf. on Cognitive Infocommunications, 2011.
  8. [8] P. Galambos and P. Baranyi, “VirCA as Virtual Intelligent Space for RT-Middleware,” In IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics (AIM), pp. 140-145, 2010.
  9. [9] A. Komlodi, E. Jozsa, K. Hercegfi, and S. Kucsora, “Empirical Usability Evaluation of the Wii Controller as an Input Device for the VirCA Immersive Virtual Space,” In 2nd Int. Conf. on Cognitive Infocommunications, pp. 1-6, 2011.
  10. [10] T. Kifor, T. Gottdank, and A. Hajnal, “Ethology and Mobile Technology in One: EtoPhone,” In 4th Int. Conf. on Human-Systems Interaction, 2011.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Jan. 21, 2019