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» Adaptive brain-computer interface
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WSCG
2004
188views more  WSCG 2004»
13 years 9 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...
HCI
2009
13 years 5 months ago
Development of Open Platform Based Adaptive HCI Concepts for Elderly Users
This paper describes the framework and development process of adaptive user interfaces within the OASIS project. After presenting a rationale for user interface adaptation to addre...
Jan-Paul Leuteritz, Harald Widlroither, Alexandros...
IUI
1997
ACM
13 years 12 months ago
Decision Making in Intelligent User Interfaces
Intelligent user interfaces are characterised by their capability to adapt at run-time and make several communication decisions concerning ‘what’, ‘when’, ‘why’ and â€...
Constantine Stephanidis, Charalampos Karagiannidis...
CHI
2005
ACM
14 years 8 months ago
An empirical assessment of adaptation techniques
The effectiveness of adaptive user interfaces highly depends on the how accurately adaptation satisfies the needs of users. This paper presents an empirical study that examined tw...
Theophanis Tsandilas, Monica M. C. Schraefel
CHI
2008
ACM
14 years 8 months ago
Predictability and accuracy in adaptive user interfaces
While proponents of adaptive user interfaces tout potential performance gains, critics argue that adaptation's unpredictability may disorient users, causing more harm than go...
Krzysztof Z. Gajos, Katherine Everitt, Desney S. T...