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首页> 外文期刊>Journal of ambient intelligence and smart environments >Brain-Computer Interfaces as intelligent sensors for enhancing human-computer interaction
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Brain-Computer Interfaces as intelligent sensors for enhancing human-computer interaction

机译：脑机接口作为智能传感器，可增强人机交互

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The 14th ACM International Conference on Multimodal Interaction (ICMI) has launched its grand challenges. One of them is baptized "Brain-Computer Interfaces as intelligent sensors for enhancing human-computer interaction". This challenge calls for papers, posters, demonstrators, and videos. It aims to explore the integration of traditional multimodal interaction with physiological computing (i.e., systems that use data from the human nervous system as control input to a technological system); in particular, Brain-Computer Interfaces (BCI). We propose to change the conceptual use of "BCI as an actor" (input control) into "BCI as an intelligent sensor" (monitor). This shift of emphasis promotes the capacity of BCI to represent spontaneous changes in the state of the user in order to induce intelligent adaptation at the interface. BCIs can be increasingly used as intelligent sensors which "read" passive signals from the nervous system and infer user states to adapt Ambient Intelligent (Ami) environments and facilitate personalized and ubiquitous computing.
机译：第14届ACM多模式交互国际会议（ICMI）发起了巨大挑战。其中之一是受洗的“脑机接口作为增强人机交互的智能传感器”。这项挑战需要论文，海报，示威者和视频。它旨在探索将传统的多模式交互与生理计算（即使用来自人类神经系统的数据作为技术系统的控制输入的系统）的集成;特别是脑机接口（BCI）。我们建议将“ BCI作为参与者”（输入控制）的概念用途更改为“ BCI作为智能传感器”（显示器）。这种重点转移提高了BCI表示用户状态的自发变化的能力，以便在界面上引起智能适应。 BCI可以越来越多地用作智能传感器，以“读取”来自神经系统的无源信号并推断用户状态以适应环境智能（Ami）环境并促进个性化和无处不在的计算。

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