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» Learning from rehabilitation: A bi-manual interface approach
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TAMODIA
2008
13 years 6 months ago
Learning Key Contexts of Use in the Wild for Driving Plastic User Interfaces Engineering
This paper addresses software plasticity, i.e. the ability of interactive systems to adapt to context of use while preserving user-centered properties. In plasticity, a classical a...
Vincent Ganneau, Gaëlle Calvary, Rachel Demum...
JUCS
2006
185views more  JUCS 2006»
13 years 4 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
JMLR
2010
177views more  JMLR 2010»
12 years 11 months ago
Multitask Learning for Brain-Computer Interfaces
Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity to record subjectspecific calibration data prior to actual use of...
Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Al...
PUC
2006
93views more  PUC 2006»
13 years 4 months ago
Comparing end-user and intelligent remote control interface generation
Traditional remote controls typically allow users to activate functionality of a single device. Given that users activate a subset of functionality across devices to accomplish a p...
Olufisayo Omojokun, Jeffrey S. Pierce, Charles Lee...
CHI
2010
ACM
13 years 8 months ago
Designing games for learning: insights from conversations with designers
This paper presents insights about design practices that can lead to effective and fun games for learning, gleaned from interviews with experienced game developers. We based our a...
Katherine Isbister, Mary Flanagan, Chelsea Hash