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Gaze-and-brain-controlled interfaces for human-computer and human-robot interactionстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 5 июня 2019 г.
- Авторы: Shishkin S.L., Zhao D.G., Isachenko A.V., Velichkovsky B.M.
- Журнал: Psychology in Russia: State of the Art
- Том: 10
- Номер: 3
- Год издания: 2017
- Первая страница: 120
- Последняя страница: 137
- DOI: 10.11621/pir.2017.0308
- Аннотация: Background. Human-machine interaction technology has greatly evolved during the last decades, but manual and speech modalities remain single output channels with their typical constraints imposed by the motor system’s information transfer limits. Will braincomputer interfaces (BCIs) and gaze-based control be able to convey human commands or even intentions to machines in the near future? We provide an overview of basic approaches in this new area of applied cognitive research. Objective. We test the hypothesis that the use of communication paradigms and a combination of eye tracking with unobtrusive forms of registering brain activity can improve human-machine interaction. Methods and Results. Three groups of ongoing experiments at the Kurchatov Institute are 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 from developmental psychology, including a mutual "eye-to-eye" exchange of looks between human and robot. Further, we provide an example of "eye mouse" superiority over the computer 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 from non-intentional ones. Conclusion. The current noninvasive BCIs are not well suited for human-robot interaction, and their performance, when they are employed by healthy users, is critically dependent on the impact of the gaze on selection of spatial locations. The new approaches discussed show a high potential for creating alternative output pathways for the human brain. When support from passive BCIs becomes mature, the hybrid technology of the eye-brain-computer (EBCI) interface will have a chance to enable natural, fluent, and effortless interaction with machines in various fields of application. © Russian Psychological Society, 2017.
- Добавил в систему: Шишкин Сергей Львович