• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Augmented Cognition >Artificial Intelligence for Advanced Human-Machine Symbiosis
【24h】

Artificial Intelligence for Advanced Human-Machine Symbiosis

机译：高级人工机组共生的人工智能

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

摘要

Human capabilities such as memory, attention, sensory bandwidth, comprehension, and visualization are critically important but all have innate limitations. However, these human abilities can benefit from rapidly growing computational capabilities. We can apply computational power to support and augment cognitive skills that will bolster the limited human cognitive resource and provide new capabilities through this symbiosis. We now have the ability to design human-computer interaction capabilities where the computer anticipates, predicts, and augments the performance of the user and where the human supports, aids, and enhances the learning and performance of the computer. Augmented cognition seeks to advance this human-machine symbiosis through both machine understanding of the human (such as physical state sensing, cognitive state sensing, psychophysiology, emotion detection, and intent projection) and human understanding of the machine (such as explainable AI, shared situation awareness, trust enhancement, and advanced UX). The ultimate result being a truly interactive symbiosis where humans and computers are tightly coupled in productive partnerships that merge the best of the human with the best of the machine. As advances in artificial intelligence (AI) accelerate across a myriad of applications, we seek to understand the current state-of-the-art of AI and how it may be best applied for advancing human-machine symbiosis.
机译：人类能力，如记忆，关注，感官带宽，理解和可视化都是至关重要的，但都具有天生的限制。然而，这些人类能力可以从快速增长的计算能力中受益。我们可以应用计算能力来支持和增强能够将有限的人类认知资源推出的认知技能，并通过这种共生提供新的能力。我们现在有能力设计计算机预测，预测和增强用户的性能以及人类支持，艾滋病和增强计算机的学习和性能的人机交互能力。增强认知旨在通过对人类的理解（如物理状态感测，认知状态感测，心理生理学，情感检测和意图投影）和人类了解机器（例如解释的AI，分享情况意识，信任增强和先进的UX）。最终结果是一个真正的互动共生，其中人和电脑紧紧地耦合在生产性伙伴关系中，这些合作伙伴关系合并了最好的机器最好的人。由于人工智能（AI）的进步加速了在无数的应用程序中，我们寻求了解目前的AI最先进，以及如何最好地申请推进人机共生。

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