Reference Points for the Observation of Systems Behaviour -- Efficient Text Categorization Using a Min-Max Modular Support Vector Machine -- A Self-healing Protocol Stack Architecture for Bluetooth® Wireless Technology -- From Keyframing to Motion Capture -- Multi-Modal Machine Attention: Sound Localization and Visual-Auditory Signal Synchronization -- A note on the Berlin Brain-Computer Interface -- Segmentation of Brain MR Images Using Local Multi-Resolution Histograms -- EMG-Driven Human Model for Orthosis Control -- Virtual Information Center for Human Interaction -- Reduced Human Interaction via Intelligent Machine Adaptation -- A Novel Watershed Method Using Reslice and Resample Image -- Stable Motion Patterns Generation and Control for an Exoskeleton-Robot -- A Study on Situational Description in Domain of Mobile Phone Operation -- Computer-Supported Decision Making with Object Dependent Costs for Misclassifications -- Robust Analysis and Interpretation of Spoken Chinese Queries -- Development and Control of a Hand Exoskeleton for Rehabilitation -- Automatically Constructing Finite State Cascades for Chinese Named Entity Identification -- Improving Information Retrieval by Concept-Based Ranking -- Liver Perfusion using Level Set Methods.

The International Workshop on "Human Interaction with Machines" is the sixth in a successful series of workshops that were established by Shanghai Jiao Tong University and Technische Universität Berlin. The goal of those workshops is to bring together researchers from both universities in order to present research results to an international community. In human interaction with machines we can distinguish two essential research directions. The first one is what is mostly described by "Usability" i.e. how should future devices like cellular phones or telecommunication services be used. A more intuitive access using e.g. natural language is required so that users do not have to study bulky manuals. The second one is where persons get directly into contact with machines like e.g. robots or medical devices. In this field two aspects are important. Machines cooperating with persons or being in close contact with persons should be safe so that even in the case of failures nobody is injured. The question is how to control such machines. All those aspects are covered in this workshop as e.g.: • Observation of systems behavior • Multi-modal User-Interfaces • Self-healing Software • Machine Learning • Brain-Computer Interfaces • Human-machine interaction • Multi-modal machine attention.