Matthias Roetting

Effects of driver fatigue monitoring - an expert survey

On long journeys under monotonous road conditions, fatigue monitoring systems might help to reduce sleep-related crashes by informing or alerting the driver, or even by taking corrective actions in the driving task. The objective of this study was to find out more about the view of experts on future driver fatigue monitoring. A questionnaire was designed to discover the objectives and the predicted effects of these systems. Evaluations of 19 researchers and 52 professional drivers were compared to each other. Researchers predict positive effects of fatigue monitoring, as the reduction of accidents, but do not deny possible hazards due to behavioral adaptation. Professional drivers claim it is particularly important to develop an affirmative attitude towards driving without fatigue and see potential in enhancing the individual responsibility of the drivers.

Analyzing the Effects of a BCMA in Inter-Provider Communication, Coordination and Cooperation

Many hospitals have implemented various kinds of information technologies. Using information technology can improve communication and improve patient safety. One of the information technologies is the application of bar code medication administration (BCMA). For achieving a successful implementation, a semi-formal notation form is used to model and to evaluate the effects of a BCMA system on communication-coordination-cooperation (C3) processes among nurses, physicians and pharmacists. This model could support a successful implementation of the BCMA system by identifying potential unintended and supportive effects related to C3, and providing recommendations for a better implementation. This article describes an approach for an analysis and evaluation of a planned BCMA implementation.

A text entry interface using smooth pursuit movements and language model

Nowadays, with the development of eye tracking technology, the gaze-interaction applications demonstrate great potential. Smooth pursuit based gaze typing is an intuitive text entry system with low learning effort. In this study, we provide a language-prediction function for a smooth-pursuit based gaze-typing system. Since the state-of-the-art neural network models have been successfully applied in language modeling, this study uses a pretrained model based on convolutional neural networks (CNNs) and develops a prediction function, which can predict both next possible letters and word. The results of a pilot experiment have shown that the next possible letters or word can be well predicted and selected. The mean typing speed can achieve 4.5 words per minute. The participants consider that the word prediction is helpful for reducing the visual search time.

Warnings and Instructions as Key Elements for Integrated User Support in IPS2

To keep up in times of global competition, an integrated user support is crucial for the safety and competitiveness in the field of Industrial Product-Service Systems (IPS2). This paper contains a review of the project work on warnings and instructions in IPS2 using the application scenario ‘spindle change’ on a micro milling machine. Specifically, the invented warning prototype and the animated instruction video as well as the associated experiments and their results will be presented. The paper concludes with the recent project work on the integration of both types of user support and the provision of future prospects.