All Research Clusters

Research Cluster 1: Prospective user-oriented designs for the medical industry

The human-machine interaction in medical technology is characterized by an important factor, namely that both parties - the system operator and the ?object? under examination - are human beings. When we extend human-machine-interaction to include human-machine-human-interaction, new roll-specific conditions and aspects of design arise, which are closely examined by Research Cluster 1. More

Research Cluster 2: Assisting motorized vehicular traffic

The advanced state of technology today opens-up a series of innovative possibilities, which can support, warn and if necessary automatically escort the operators and drivers of motorized vehicles away from dangerous situations. Interestingly, there are many parallels between vehicles on the road, where the driver is the operator, and aircraft on the airfield, where the pilot is the operator. Research Cluster 2 addresses both these groups, using tools ranging from pure psychological application-research and extending all the way to issues of practical design and construction. The research places considerable emphasis on problems of perception, on the conceptual design of safety-support systems as well as on adapting the entire system of assistance to the requirements of both automobile-driver and taxing-pilot. More

Research Cluster 3: Design-principles for the development of user-centered Virtual/Mixed Reality tools - facilitating the design of tomorrow?s products

Virtual-Reality methods are increasingly used in the design and construction of products. Designing in a Virtual-Reality world facilitates the creation of virtual prototypes, which enables product designers to address the ergonomic, interactive and aesthetic features of tomorrow?s products. Because the physical qualities of a product are so important, it is necessary that these qualities be incorporated into any design process that utilizes the tools of virtual reality. Although a number of different taxonomies for integrating physical and virtual components into virtual scenes already exist in the domain of ?Mixed? reality, these approaches are not directly applicable to virtual product development. In the PhD project, this Smart Hybrid Prototyping concept should be methodically extended in order to reach an optimal distribution of functionality between the physical and virtual components of a hybrid prototype. Methods pertaining to computer haptics, tangible user interfaces and mixed reality can all be employed in this process. The effectiveness of these methods should all be empirically ensured. More

Research Cluster 4: How humans perceive and understand in a 3-dimensional space

The goal of Research Cluster 4 is the derivation and formulation of design criteria that will facilitate the depiction of information in both real and virtual 3-dimensional space. More

Research Cluster 5: Basic principles of effective warning strategies in complex systems

The focus of Research Cluster 5 is to work on basic and applied studies which examine different aspects of validity in alarm systems as well as to examine the behavioral consequences of the operator when handling these systems. Experimental paradigms will be developed for different levels of confidence or trust. More

Research Cluster 6: Usability workbench: methods for User Modeling and System Evaluation

In Research Cluster 6, a variety of issues concerning the usability of interactive systems are investigated.. Projects within this cluster are concerned with the semantics of information and warning signals in automobiles, causal knowledge about complex systems and its implications for system usability as well as innovative approaches to capture user experience in human machine interaction. More

Research Cluster 7: Measuring and forecasting the quality of multi-modal telecommunications products/services

The work in Research Cluster 7 deals with the design of multi-modal telecommunication services, like entertainment portals, ambient intelligence applications and secure portals for authentification and specific administrative purposes. One of the goals here is to measure, and by means of simulation to predict, both the quality and the usability of such applications, without having to rely too much on the efforts of human participants used in the research. In such an undertaking, certain domain characteristics (i.e. large non-homogeneous user-groups and fast development cycles) must be considered and addressed by adequate methods.

For these purposes, available methods will be further developed to capture aspects of subjective quality appraisals in multi-modal interactions which have not yet been addressed by quantitative approaches (i.e. hedonistic aspects, Joy-of-Use). These aspects can serve as target-values of a model-based prediction of quality. Typical user-behavior is simulated, and the simulated interactions are recorded. From this data - and by means of user and application specific prediction models for such usability - the appropriate target values are estimated. Simulation and predictions are integrated into a development environment, which have been based on the preliminary workings of the Quality and Usability Lab at Deutsche Telecom (T-Labs). This environment is finally validated for prototypical multimodal applications that are developed in the T-Labs. More

Research Cluster 8: Allocation of functions between human and machine as well as division of labor between developer and operator: two perspectives on human-machine-systems.

To this day, the analysis of automation in human-machine-systems has concentrated on synchronous function allocation under operating conditions. Complementing this approach, Research Cluster 8 also focuses on the asynchronous division of labor between developers and operators. This approach is examined at different stages in the life-cycle of human-machine-systems. The primary methods of research used in this cluster are experimental. More

Research Cluster 9: Process-Monitoring for the assessment of operating performance when using complex systems

Research Cluster 9 is supervised by Prof. Dr.-Ing. Günter Wozny, head of the Department of Process Dynamics and Operations. The aim of this cluster is to design prototypes which serve as support tools for the analysis and evaluation of complex and dynamic processes in the chemical industry. More

Research Cluster 10: Human-adaptive automation systems

The basic idea behind human-centered and human-adapted automated systems is the adjustment of the device to human characteristics and abilities to ensure a close and at the same time efficient cooperation between human and machine. This research cluster focuses on machines and robots to support motor re-learning after stroke. This field of application imposes high demands regarding the adaptation of the robot with respect to cognitive and sensorimotor skills of  individual stroke patients. More

Research Cluster 11: Developing a methodology for Adaptive and Competence-promoting Human-Machine-Systems in the early phase of product development

How can we support inexperienced elderly users as they learn to handle electronic devices? How should we design electronic devices to adapt to the user?s knowledge and expertise? How can we design technology that is intuitively useable? How can cognitive linguistic theory contribute to a design that supports intuitive use? Within Research Cluster 11, two PhD projects are looking for answers to these questions. Since the Director of this Research Cluster, Frau Prof. Dr.-Ing. Blessing, has been called to a professorship at the University of Luxembourg, Cluster 11 is in the process of winding down and will be assigning no further scholarships. More

Research Cluster 12: Application of cognitive User Models in the process of system development

Research Cluster 12 focuses on the procedures for modeling and integrating cognitive and physical models into the simulation of control processes of human-machine-systems. Since the Director of this cluster, Herr Prof. Dr.-Ing. Urbas, has followed a call to the TU Dresden, Cluster 12 is now continued by Dr.-Ing. Nele Russwinkel. At the moment no further scholarships are assigned. More