文章基本信息

标题：Gaze-and-brain-controlled interfaces for human-computer and human-robot interaction
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作者：Shishkin S. L. ; Zhao D. G. ; Isachenko A. V. 等
期刊名称：Psychology in Russia : State of Art
印刷版ISSN：2074-6857
电子版ISSN：2307-2202
出版年度：2017
卷号：10
期号：3
页码：120-137
出版社：M.V. Lomonosov Moscow State University
摘要：Background. Human-machine interaction technology has greatly evolved during thelast decades, but manual and speech modalities remain single output channels with theirtypical constraints imposed by the motor system’s information transfer limits. Will braincomputerinterfaces (BCIs) and gaze-based control be able to convey human commandsor even intentions to machines in the near future? We provide an overview of basic approachesin this new area of applied cognitive research.Objective. We test the hypothesis that the use of communication paradigms anda combination of eye tracking with unobtrusive forms of registering brain activity canimprove human-machine interaction.Methods and Results. Three groups of ongoing experiments at the Kurchatov Instituteare reported. First, we discuss the communicative nature of human-robot interaction,and approaches to building a more efficient technology. Specifically, “communicative”patterns of interaction can be based on joint attention paradigms fromdevelopmental psychology, including a mutual “eye-to-eye” exchange of looks betweenhuman and robot. Further, we provide an example of “eye mouse” superiority over thecomputer mouse, here in emulating the task of selecting a moving robot from a swarm.Finally, we demonstrate a passive, noninvasive BCI that uses EEG correlates of expectation.This may become an important filter to separate intentional gaze dwells fromnon-intentional ones.
关键词：attention; eye-to-eye contact; eye movements; brain-computer interface;(BCI); eye-brain-computer interface (EBCI); electroencephalography (EEG); expectancy;wave (E-wave); human-robot interaction; brain output pathways