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Wobrock, Dennis: Combined analysis of Electroencephalography and eyetracking to create new windows into cognitive human-machine interaction. 2022
Inhalt
Declaration of Authorship
Abstract
Acknowledgements
Introduction
Motivation
Focus
Contribution
Outline of the work
Inspecting Human-Machine Interaction
A Brief History
Evaluating Human-machine Interaction
The Design Cycle
Sources of Grievance
Usability
Limits of HMI
Limits of Evaluation
Limits of Interfaces
Choosing Biosignals for HMI
Selection Criteria
Eye movements
Electrooculography
Optical Eyetracking
Brain activity
Recording Methods
Electroencephalography
Using Biosignals for Applications
General Use of Biosignals
Application to HMI Improvement
Creating A Brain-Computer Interface
Defining The BCI's Goals
BCI Transposability
Minimizing System Adaptations
Comfort of our BCI
Accessing Relevant Information
Preprocessing
Extracting Information
Event-related Potentials
Sensory, Attentive and Pre-attentive Potentials
Fixation-related Potentials
Methods for Event-related Potential Analysis
Required Methods
Accessing Single-Trial ERP Properties
Adaptive Multi-linear Regression with dispersion term (aMLRd)
ERP and Epoch Overlap
Synchronizing Modalities
Classical Approaches
Fixation-based Component Resynchronization (FCSync)
System Summary So Far
Applying This BCI To Interaction
BCI Objectives during Interaction
The Most Common Interaction : Visual Searches
Study One : Materials and Methods
Experimental Protocol
Scene Stimuli
Apparatus
Participants
Artifact Correction and Preprocessing
Study One : Data Analysis
Eyetracking Results
EEG Results
FRP Results
Methods for Interface Evaluation
General Difficulty via Eyetracking (GDET)
Stable Peak Property Quantification (SPPQ)
Segment Frequency Bands Analysis (SFBA)
Examining the Methods
Application for User Grievances
Expanding and Improving Methods
Expanding the Methods to Natural Interactions
Objectives for Natural Interaction
Emulating Natural Interaction in a Laboratory Setting
Study Two : Materials and Methods
Experimental Protocol
Stimuli
Apparatus
Participants
Artifact Correction and Preprocessing
Study Two : Data Analysis
Eyetracking Results
EEG Results
FRP Results
Adapting our Methods
Transposing the GDET, SPPQ and SFBA Methods
Comparing Perceptions of Individual Objects
User-dependent Potential Variance (UdPV)
State of the BCI
Preliminary Conclusions Regarding Our Set of Methods
Expanding and Improving Methods Further
Exploring the Methods in Changing Interactions
Objectives in Changing Interaction Tasks
Clutter in Natural Interactions
Study Three : Materials and Methods
Experimental Protocol
Scene Stimuli
Apparatus
Participants
Artifact Correction and Preprocessing
Study Three : Data Analysis
Eyetracking Results
EEG Results
FRP Results
Validating our Methods
Validating GDET, SPPQ and SFBA in Changing Interactions
Investigating Task difficulties with Our Setup
Transposing the UdPV Method
Conclusions Regarding the State of the BCI
Final State of the Methods
Further Possible Improvements
Discussion of the BCI and Findings of the Studies
BCI Transposability
Setup Transposability
Method Transposability
BCI Utility
Difficulties Relating to Individual Scene Elements
Difficulties Relating to Entire Scenes
Difficulties Relating to the Task
Difficulties Relating to User Strategies
Expanding on BCI Insights
Comparing Study Scenarios
Overlapping Epochs
Other Fixation-related Potentials
Conclusion and Perspectives
Summary
Observations and Criticisms
Perspectives
Study Two : Scene Stimuli
Study Three : Scene Stimuli
Algorithm MatLab Code
MultiLinear Regression with dispersion term
Fixation-based Component Resynchronization
Bibliography