Towards next-generation context-aware affective human-machine interfaces

直到最近，与数字信息交互的普遍方式还是通过键盘和鼠标。然而，随着移动设备的普及，触摸成为人机界面（hmi）的主要输入方式，紧随其后的是语音。然而，未来十年将见证数据生成的巨大增长（例如，统计数据显示，到2020年，我们的数字足迹将增加50倍）。新的传感器和技术将会出现，并将嵌入到日常物品中，创造所谓的物联网革命。这种数据洪流将需要人机交互方面的重大创新，特别是在人与机器以及机器与环境之间的界限变得模糊的情况下。为了实现这一雄心勃勃的目标，拟议的研究计划旨在开发技术，通过使机器不仅意识到周围环境，而且意识到用户的情感/认知状态，从而增强机器智能。这种情境感知的情感hmi将彻底改变加拿大经济的几个关键部门，包括医疗保健、娱乐、教育和电信。

Until recently, the ubiquitous way of interacting with digital information was via a keyboard and mouse. As mobile devices gained popularity, however, touch became the primary input modality for human-machine interfaces (HMIs), followed closely by voice. The next decade, however, will witness tremendous growth in data generation (e.g., statistics suggest a 50-fold increase in our digital footprint by 2020). New sensors and technologies will emerge and will be embedded in everyday objects, creating the so-called Internet-of-Things revolution. This data deluge will require drastic innovations in human-machine interaction, particularly as the boundaries between humans and machines, as well as machines and the environment become blurred. To achieve this ambitious goal, the proposed research program aims at developing technologies that will enhance machine intelligence by making them not only aware of their surroundings, but also of their users’ affective/cognitive states. Such context-aware affective HMIs will revolutionize several key sectors of the Canadian economy, including healthcare, entertainment, education, and telecommunications.