In social settings, people often need to reason about unobservable mental content of other people, such as their beliefs, goals, or intentions. This ability helps them to understand, to predict, and even to influence the behavior of others. People can take this ability further by applying it recursively. …

Human activity recognition system is of great importance in robot-care scenarios. Typically, training such a system requires activity labels to be both completely and accurately annotated. In this paper, we go beyond such restriction and propose a learning method that allow labels to be incomplete and …

This study investigates the knowledge that experienced teachers draw on when fostering students’ reflections. Reflective skills are crucial for advancing students’ learning. In order to promote students’ reflection productively, extensive support and scaffolding from teachers is indispensible. However, …

Safety is monitored by various proactive and reactive methods, including the investigation of adverse accidents and incidents, which are collectively known as safety investigations. In this study we demonstrate how accident and incident investigation reports can be useful to identify implicit safety …

Researchers in CSCL have used a wide range of qualitative and quantitative methods to track students' cognitive involvement during collaboration. However, neither individual method suffices the need to capture the dynamic evolvement of students' epistemic engagement in CSCL. We developed Epistemic Synchronization …

The last decade has seen an increasing demand from the industrial field of computerized visual inspection. Applications rapidly become more complex and often with more demanding real time constraints. However, from 2004 onwards the clock frequency of CPUs has not increased significantly. Computer Vision …

Motivational Interviewing (MI) can effectively stimulate motivation for health behavior change, but the active ingredients of MI are not well known. To help clinicians further stimulate motivation, they need to know the active ingredients of MI. A psychometrically sound instrument is required to identify …

Anomaly detection is a key factor in the processing of large amounts of sensor data from Wireless Sensor Networks (WSN). Efficient anomaly detection algorithms can be devised performing online node-local computations and reducing communication overhead, thus improving the use of the limited hardware …

Summary: The traditional landscape in international business has changed, for decades the Uppsala model of internationalization has been key-instrument for foreign success. Since McKinsey (1993) made notice of the term Born Global times have changed. More rapidly and in increasing numbers throughout …

Optical Coherence Tomography (OCT) is an imaging technique for collecting depth resolved information in human tissue based on an interferometer. With an imaging depth of between 1 and 2 mm, OCT is only used to investigate (near) surfaces. But with an axial (depth) resolution of between 2 and 10 μm, and …