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Dierker, Angelika: Computer-aided investigation of interaction mediated by an AR-enabled wearable interface. 2012
Inhalt
Introduction to tasks and processes in experiment control and multimodal analysis
An example research process
Facilitating the research process
Recording
Tagging
Data preparation and conversion
Analysis
Intermediate summary
A closed-loop approach to facilitate experiments
Recording
Controlling
Disturbing
Enhancing/Supporting
Intermediate summary
Research questions
Outline
Theoretical background
Communication, interaction and conversation
Selected phenomena in interaction
Selected nonverbal behavioural cues
Analysis of interaction
Augmented Reality (AR)
Sonification
Abbreviations
The AR-enabled Interception Interface (ARbInI)
Hardware
Video components
Audio components
Touch components
Motion and gesture tracking
Software
Video data processing
Audio data processing
Tactile and motion sensor data processing
Features and Methods of ARbInI
Controlling experiments
Component selection
AR-based interaction scenarios
Controlling the trial process
Disturbing interaction
Recording interaction
Tagging interaction
Enhancing interaction
Mediated attention
Conversion: synchronizing and transforming for visualization
Analysing multimodal corpora
Scenarios
Interaction objects
Characteristics & Interaction behaviour of the objects
Criteria for scenarios or tasks
Scenarios and tasks
Object games
Collaborative and multimodal 3-dimensional data exploration
Gaze game
Interactive-exhibition design scenario
Visual search
Animal guessing
Smalltalk
Prompting by computer
Summary
Studies presented in this work
Side-effects on the interaction
Issues of head-mounted AR and their effects on the wearer
Influence of HMDs on eye and head movements
Expectations
Method
Results
Discussion
Influence of HMDs on head movements, speech and task accomplishment
Hypotheses
Method
Results and discussion
Summary
Summary and Discussion
Computer-aided investigation of interaction
Automatic tracking of objects in the field of view
Outlook
Automatic annotation of speech times
Analysis of the speech data of this work
Discussion
Outlook
Automatic tagging of head gestures
Training and classification
Offline evaluation
Automatic/Online classification
Analysis of relevant axes for detailed analysis of gestures
Head gesture corpus
Analysis of the corpus data
Outlook
Timing of speech and head gesture data
Method
Outlook
Summary
Actively influencing interaction with ARbInI
Guiding attention
Method
Scenario: the ``gaze game''
Procedure for the study and sample
Results
Discussion
Disturbing interaction
Review of literature
Method
Initial observations
Discussion
Conclusion
Appendix
Interactive exhibition design study
Questionnaire AR group
Questionnaire non-AR group
Mapping of markers to interactive exhibits
Enhancing/Supporting: A multimodal display for the focus of attention
Todos
Bibliography