Semiotic training for brain-computer interfaces

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

With time education becomes more personified. New categories of learners join in educational processes and new areas of education appear. Brain-computer interfaces have good perspective to contribute to these tendencies. This technology may allow disabled people to participate in social life, including education, and may let healthy people to develop the skill of controlling brain waves. Training the skill is the object of investigation and researchers recommend taking into account human factors: general principles of learning, motivations, personal patterns and abilities (among them, spatial). Education may be a source of highly motivated training tasks. The paper treats brain-computer interface as a type of communication and argues for semiotic training that is a variant of training spatial abilities. Semiotic training have proved effectiveness in other areas of education. Theoretical background and preliminary empirical comments of the approach are considered.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы921-925
Число страниц5
ISBN (электронное издание)9788360810903
DOI
СостояниеОпубликовано - 3 ноя 2016
Событие2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 - Gdansk, Польша
Продолжительность: 11 сен 201614 сен 2016

Конференция

Конференция2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016
СтранаПольша
ГородGdansk
Период11.09.201614.09.2016

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  • Цитировать

    Timofeeva, M. (2016). Semiotic training for brain-computer interfaces. В Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 (стр. 921-925). [7733352] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15439/2016F75