A5006417854- Data Visualization and Analytics
- Behavioral Health and Interventions
- Data Analysis with R
- Image Retrieval and Classification Techniques
- Sensory Analysis and Statistical Methods
- Video Analysis and Summarization
- Time Series Analysis and Forecasting
- Eating Disorders and Behaviors
- Web Data Mining and Analysis
- Multimedia Communication and Technology
- Experimental Learning in Engineering
- Topological and Geometric Data Analysis
- Remote Sensing and LiDAR Applications
- Usability and User Interface Design
- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Environmental Education and Sustainability
- Psychology of Moral and Emotional Judgment
- Risk Perception and Management
- Computer Graphics and Visualization Techniques
- Obesity, Physical Activity, Diet
- Optimism, Hope, and Well-being
- Advanced Clustering Algorithms Research
- Geographic Information Systems Studies
- Data Mining Algorithms and Applications
University of Konstanz
2018-2024
University of Bern
2017
Abstract The visualization community has developed to date many intuitions and understandings of how judge the quality views in visualizing data. computation a visualization's usefulness ranges from measuring clutter overlap, up existence perception specific (visual) patterns. This survey attempts report, categorize unify diverse aims establish common vocabulary that will enable wide audience understand their differences subtleties. For this purpose, we present commonly applicable metric...
Why do we eat? Our motives for eating are diverse, ranging from hunger and liking to social norms affect regulation. Although can vary event event, which implies substantial moment-to-moment differences, current ways of measuring rely on single timepoint questionnaires that assess as situation-stable dispositions (traits). However, mobile technologies including smartphones allow events be captured in real time life, thus capturing experienced in-the-moment (states).This study aimed examine...
Many visualizations have proven to be effective in supporting various software related tasks. Although multiple media can used display a visualization, the standard computer screen is most. We hypothesize that medium has role their effectiveness. investigate our hypotheses by conducting controlled user experiment. In experiment we focus on 3D city visualization technique for comprehension deploy across (SCS), an immersive environment (I3D), and physical printed model (P3D). asked...
Abstract Comparing data distributions is a core focus in descriptive statistics, and part of most analysis processes across disciplines. In particular, comparing entails numerous tasks, ranging from identifying global distribution properties, aggregated statistics (e.g., mean values), to the local inspection single cases. While various specialized visualizations have been proposed box plots, histograms, or violin plots), they are not usually designed support more than few unless combined....
We present SMARTEXPLORE, a novel visual analytics technique that simplifies the identification and understanding of clusters, correlations, complex patterns in high-dimensional data. The analysis is integrated into an interactive table-based visualization maintains consistent familiar representation throughout analysis. tightly coupled with pattern matching, subspace analysis, reordering, layout algorithms. To increase analyst's trust revealed patterns, SMARTEXPLORE automatically selects...
Abstract The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by the ordering of dimensions. While community has proposed over 30 automatic strategies, we still lack empirical guidance for choosing an appropriate strategy a given task. In this paper, first propose classification tasks and analyze which PCP reordering strategies help detecting them. Based on our classification, then conduct user study with 31 participants evaluate cluster identification...
Parallel coordinates are a popular technique to visualize multi-dimensional data. However, they face significant problem influencing the perception and interpretation of patterns. The distance between two parallel lines differs based on their slope. Vertical rendered longer closer each other than horizontal lines. This is inherent in has main consequences: (1) clusters which have steep slope axes visually more prominent clusters. (2) Noise clutter can be perceived as clusters, few vertical...
Abstract Infectious diseases pose a serious threat to humans. Therefore, it is crucial understand how accurately people perceive these risks. However, accuracy can be operationalized differently depending on the standard of comparison. The present study investigated in risk perceptions for three infectious (avian influenza, seasonal common cold) using different standards accuracy: Social comparison (self vs. others’ perceptions), general problem level (risk with varying levels), and dynamic...
Abstract While there are many visualization techniques for exploring numeric data, only a few work with categorical data. One prominent example is Parallel Sets, showing data frequencies instead of points ‐ analogous to parallel coordinates numerical As nominal does not have an intrinsic order, the design Sets sensitive visual clutter due overlaps, crossings, and subdivision ribbons hindering readability pattern detection. In this paper, we propose set quality metrics, called ParSetgnostics...
Star glyphs are a well-researched visualization technique to represent multi-dimensional data. They often used in small multiple settings for visual comparison of many data points. However, their overall appearance is strongly influenced by the ordering dimensions. To this end, two orthogonal categories layout strategies proposed literature: order dimensions similarity get homogeneously shaped vs. dissimilarity emphasize spikes and salient shapes. While there evidence that shapes support...
Historical change typically is the result of complex interactions between several linguistic factors. Identifying relevant factors and understanding how they interact across temporal dimension core remit historical linguistics. With respect to corpus work, this entails a separate annotation, extraction painstaking pair-wise comparison bits information. This paper presents significant extension HistoBankVis, multilayer visualization system which allows fast interactive exploration data....
<sec> <title>BACKGROUND</title> Why do we eat? Our motives for eating are diverse, ranging from hunger and liking to social norms affect regulation. Although can vary event event, which implies substantial moment-to-moment differences, current ways of measuring rely on single timepoint questionnaires that assess as situation-stable dispositions (traits). However, mobile technologies including smartphones allow events be captured in real time life, thus capturing experienced in-the-moment...
Star glyphs are a well-researched visualization technique to represent multi-dimensional data. They often used in small multiple settings for visual comparison of many data points. However, their overall appearance is strongly influenced by the ordering dimensions. To this end, two orthogonal categories layout strategies proposed literature: order dimensions similarity get homogeneously shaped vs. dissimilarity emphasize spikes and salient shapes. While there evidence that shapes support...