• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on human-computer interaction;International conference on social computing and social media >Human Factors in the Age of Algorithms. Understanding the Human-in-the-loop Using Agent-Based Modeling
【24h】

Human Factors in the Age of Algorithms. Understanding the Human-in-the-loop Using Agent-Based Modeling

机译：算法时代的人为因素。使用基于代理的建模来了解人在环

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The complex interaction of humans with digitized technology has far reaching consequences, many of which are still completely opaque in the present. Technology like social networks, artificial intelligence and automation impacts life at work, at home, and in the political sphere. When work is supported by decision support systems and self-optimization, human interaction with such systems is reduced to key decision making aspects using increasingly complex interfaces. Both, algorithms and human operators become linchpins in the opaque workings of the complex socio-technical system. Similarly, when looking at human communication flows in social media, algorithms in the background control the flow of information using recommender systems. The users react to this filtered flow of information, starting a feedback-loop between users and algorithm-the filter bubble. Both scenarios share a common feature: complex human-algorithm interaction. Both scenarios lack a deep understanding of how this interaction must be properly designed. We propose the use of agent-based modeling to address the human-in-the-loop as a part of the complex socio-technical system by comparing several methods of modeling and investigating their applicability.
机译：人类与数字化技术之间复杂的相互作用产生了深远的影响，其中许多至今仍然是完全不透明的。诸如社交网络，人工智能和自动化之类的技术会影响工作，家庭和政治领域的生活。当决策支持系统和自我优化为工作提供支持时，使用此类系统的人与人之间的互动将减少到使用日益复杂的界面进行关键决策的方面。算法和人工运算符都成为复杂的社会技术系统不透明的工作中的关键。同样，当查看社交媒体中的人际交流流时，后台的算法会使用推荐系统来控制信息流。用户对这种过滤的信息流做出反应，从而在用户和算法（过滤器气泡）之间开始一个反馈循环。两种情况都有一个共同的特征：复杂的人机交互。两种情况都缺乏对如何正确设计此交互的深刻理解。我们建议通过比较几种建模方法并研究其适用性，来使用基于代理的建模方法来解决复杂的社会技术系统中的“半路人”。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号