RESEARCH ARTICLE


Fundamental Issues in Affective Intelligent Social Machiness



Brian R. Duffy *
SMARTlab Digital Media Institute, University of East London, Docklands Campus, 4-6 University Way, London, E16 2RD UK.


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© 2017 Duffy et al.;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the SMARTlab Digital Media Institute, University of East London, Docklands Campus, 4-6 University Way, London, E16 2RD UK; E-mail: brd@media.mit.edu


Abstract

In the early 1990s, computer scientists became motivated by the idea of rendering human-computer interactions more humanlike and natural for their users in order to both address complaints that technologies impose a mechanical (sometimes even anti-social) aesthetic to their everyday environment, and also investigate innovative ways to manage system-environment complexity. With the recent development of the field of Social Robotics and particularly Human- Robot Interaction, the integration of intentional emotional mechanisms in a system’s control architecture becomes inevitable. Unfortunately, this presents significant issues that must be addressed for a successful emotional artificial system to be developed. This paper provides an additional dimension to documented arguments for and against the introduction of emotions into artificial systems by highlighting some fundamental paradoxes, mistakes, and proposes guidelines for how to develop successful affective intelligent social machines.

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