Brain-Computer Interaction: A Scoping Review of Current Advances, Challenges, and Future Research Directions
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, sa.1, ss.1-19, 2026 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Derleme
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/10447318.2026.2706903
- Dergi Adı: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
- Derginin Tarandığı İndeksler: Applied Science & Technology Source, Academic Search Ultimate (EBSCO), Business Source Ultimate (EBSCO), Engineering Source (EBSCO), Scopus, Psychology & Behavioral Sciences Collection (EBSCO), Technology Collection (ProQuest), Aerospace Database, Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), ABI/INFORM, Compendex, INSPEC, Psycinfo
- Sayfa Sayıları: ss.1-19
- Gazi Üniversitesi Adresli: Evet
Özet
The term Brain-Computer Interaction (BCIx) is used to denote a paradigm that is characterized by the use of an adaptive and bidirectional communication link between the brain and computers. A literature search was performed in all major scientific databases in order to identify peer-reviewed articles on the subject. The search was successful in identifying 28 articles published until May 2026. A variety of BCIx applications have been examined, such as emotion detection, imagery, motor execution, neuro-rehabilitation, multimodal and networked BCIs, advancements in EEG decoding, methods for data augmentation, and novel hardware implementations. The studies have revealed advancements at a remarkable pace, driven by deep learning, multimodal sensing and advanced signal processing, although considerable issues remain, namely inconsistent terminology; small data sets; inter- and intra-subject variabilities, and real-world robustness issues. This review emphasizes the requirement for clearer conceptualization, standardized methodology, and interdisciplinary cooperation to address these issues.