ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications

Spiros Nikolopoulos's picture
Spiros Nikolopoulos
Centre for Research and Technology Hellas ITI-CERTH (GR)
Elisavet Chatzilari's picture
Elisavet Chatzilari
Centre for Research and Technology Hellas ITI-CERTH (GR)
Conference room
Session time
Thursday, June 22, 2017 - 14:45 to 15:30
An Error Aware SSVEP-based BCI
Abstract: 
ErrPs have been used lately in order to improve several existing BCI applications. In our study we investigate the contribution of ErrPs in a SSVEP based BCI. An extensive study is presented in order to discover the limitations of the proposed scheme. Using Common Spatial Patterns and Random Forests we manage to show encouraging results regarding the incorporation of ErrPs in a SSVEP system. Finally, we provide a novel methodology (ICRT) that can measure the gain of a BCI system by incorporating ErrPs in terms of time efficiency.
Fotis Kalaganis's picture
Fotis Kalaganis
CERTH/ITI (GR)
Elisavet Chatzilari's picture
Elisavet Chatzilari
Centre for Research and Technology Hellas ITI-CERTH (GR)
Kostas Georgiadis's picture
Kostas Georgiadis
Spiros Nikolopoulos's picture
Spiros Nikolopoulos
Centre for Research and Technology Hellas ITI-CERTH (GR)
Nikos Laskaris's picture
Nikos Laskaris
Ioannis Kompatsiaris's picture
Ioannis Kompatsiaris
Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing
Abstract: 
Gaze-based virtual keyboards allow people with motor disability a method for text entry by eye movements. The effectiveness and usability of these keyboards have traditionally been evaluated with conventional text entry performance measures such as words per minute, keystroke saving, error rate, accuracy, etc. However, in comparison to the conventional text entry approaches, gaze-based typing involves natural eye movements that are highly correlated with human brain cognition.
Korok Sengupta's picture
Korok Sengupta
University of Koblenz (DE)
Jun Sun's picture
Jun Sun
Raphael Menges's picture
Raphael Menges
Institute for Web Science and Technologies (DE)
Chandan Kumar's picture
Chandan Kumar
University of Koblenz (DE)
Steffen Staab's picture
Steffen Staab
Assessing the Usability of Gaze-Adapted Interface against Conventional Eye-Based Input Emulation
Abstract: 
In recent years, eye tracking systems have greatly improved, beginning to play a promising role as an input medium. Eye trackers can be used for application control either by simply emulating the mouse device in the traditional graphical user interface, or by customized interfaces for eye gaze events. In this work we evaluate these two approaches to assess their impact in usability. We present a gaze-adapted Twitter application interface with direct interaction of eye gaze input, and compare it to the Twitter in a conventional browser interface with gaze-based mouse and keyboard emulation.
Chandan Kumar's picture
Chandan Kumar
University of Koblenz (DE)
Raphael Menges's picture
Raphael Menges
Institute for Web Science and Technologies (DE)
Steffen Staab's picture
Steffen Staab