Der Kulti war prägend: Zur historischen Nutzung des Kulturpalastes

Dass der Autor 1965 im Jahr der Fertigstellung einer mehrfach überarbeiteten Gesamtkonzeption für ein „Haus der Sozialistischen Kultur“ hier in Dresden geboren ist, tut nichts zur Sache. Wohl aber der Umstand, dass der Kulti ihn fast fünf Jahrzehnte begleitet hat. Über die beschriebene Zeitspanne hinweg haben Schülerkonzerte, Jugendclub-Mitgliedschaft, Dixieland-Festival, Ferienarbeit, Tanzfestival, Tauschbörsen, vergessene Anoraks und ein über Stunden verloren geglaubter Sohn des Autors das Verhältnis eng geschmiedet. Die berufsbedingte Übernahme und Betreuung des Kulturpalast-Archivbestandes durch das Stadtarchiv ab 2012 tat ihr Übriges dazu. Mit Freude erlebte das Stadtarchiv die intensive Benutzung des Kulturpalast-Aktenbestandes für den geplanten Umbau. Die Vollständigkeit der Überlieferung war für dieses Interesse ein Glücksfall

Pupil response as an indicator of hazard perception during simulator driving

We investigate the pupil response to hazard perception during driving simulation. Complementary to gaze movement and physiological stress indicators, pupil size changes can provide valuable information on traffic hazard perception with a relatively low temporal delay. We tackle the challenge of identifying those pupil dilation events associated with hazardous events from a noisy signal by a combination of wavelet transformation and machine learning. Therefore, we use features of the wavelet components as training data of a support vector machine. We further demonstrate how to utilize the method for the analysis of actual hazard perception and how it may differ from the behavioral driving response

How the Swiss federal drug policy spreads to cantons and cities: an evaluation

Since the early 1990s, the Swiss Confederation has been promoting the “Four-Pillars” model to address drug-related issues. This model seeks to reduce drugrelated problems by intervention using the four fields of prevention, treatment, harm reduction, and repression. Since the Confederation has no constitutional competence in drug policy, it cannot enforce this model in a top-down manner. Instead, it must rely on other means in order to convince the main players of Swiss drug policy – the cantons and the cities – to adopt its ideas

FakeNewsPerception: an eye movement dataset on the perceived believability of news stories

Extensive use of the internet has enabled easy access to many different sources, such as news and social media. Content shared on the internet cannot be fully fact-checked and, as a result, misinformation can spread in a fast and easy way. Recently, psychologists and economists have shown in many experiments that prior beliefs, knowledge, and the willingness to think deliberately are important determinants to explain who falls for fake news. Many of these studies only rely on self-reports, which suffer from social desirability. We need more objective measures of information processing, such as eye movements, to effectively analyze the reading of news. To provide the research community the opportunity to study human behaviors in relation to news truthfulness, we propose the FakeNewsPerception dataset. FakeNewsPerception consists of eye movements during reading, perceived believability scores, questionnaires including Cognitive Reflection Test (CRT) and News-Find-Me (NFM) perception, and political orientation, collected from 25 participants with 60 news items. Initial analyses of the eye movements reveal that human perception differs when viewing true and fake news

Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

Eye-tracking technology has to date been primarily employed in research. With recent advances in aordable video-based devices, the implementation of gaze-aware smartphones, and marketable driver monitoring systems, a considerable step towards pervasive eye-tracking has been made. However, several new challenges arise with the usage of eye-tracking in the wild and will need to be tackled to increase the acceptance of this technology. The main challenge is still related to the usage of eye-tracking together with eyeglasses, which in combination with reflections for changing illumination conditions will make a subject "untrackable". If we really want to bring the technology to the consumer, we cannot simply exclude 30% of the population as potential users only because they wear eyeglasses, nor can we make them clean their glasses and the device regularly. Instead, the pupil detection algorithms need to be made robust to potential sources of noise. We hypothesize that the amount of dust and dirt on the eyeglasses and the eye-tracker camera has a significant influence on the performance of currently available pupil detection algorithms. Therefore, in this work, we present a systematic study of the eect of dust and dirt on the pupil detection by simulating various quantities of dirt and dust on eyeglasses. Our results show 1) an overall high robustness to dust in an o-focus layer. 2) the vulnerability of edge-based methods to even small in-focus dust particles. 3) a trade-o between tolerated particle size and particle amount, where a small number of rather large particles showed only a minor performance impact

Testing different function fitting methods for mobile eye-tracker calibration

During calibration, an eye-tracker fits a mapping function from features to a target gaze point. While there is research on which mapping function to use, little is known about how to best estimate the function's parameters. We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. For this purpose, a simulation of binocular gaze was developed for a) different calibration patterns and b) different noise characteristics. We found the commonly used polynomial regression via least-squares-error fit often lacks to find good mapping functions when compared to ridge regression. Especially as data becomes noisier, outlier-tolerant fitting methods are of importance. We demonstrate a reduction in mean MSE of 20% by simply using ridge over polynomial fit in a mobile eye-tracking experiment