Fundamental Issues in Affective Intelligent Social Machines
Fundamental Issues in Affective Intelligent Social Machines
复制标题
情感智能社交机器的基本问题
DOI：
10.2174/1874061800802010021
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
B. Duffy
中科院分区：
文献类型：
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作者：
B. Duffy
在20世纪90年代初，计算机科学家的动机是使用户的人机交互更人性化和自然，以解决有关技术将机械(有时甚至是反社会的)美学强加给他们的日常环境的抱怨，并研究管理系统环境复杂性的创新方法。随着社会机器人领域的发展，特别是人与机器人的交互，在系统的控制结构中集成有意的情感机制变得不可避免。不幸的是，这提出了必须解决的重大问题，才能开发出成功的情感人工系统。本文通过强调一些基本的悖论和错误，为支持和反对将情绪引入人工系统的书面论证提供了一个额外的维度，并为如何开发成功的情感智能社交机器提出了指导方针。
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.