The COVID-19 pandemic underscored the critical need for effective disease mapping tools, essential for tracking infectious diseases. Following the WHO's pandemic declaration in March 2020, numerous technological solutions emerged to map cases, assess ...

Software engineers are challenged with maintaining complex systems as the architecture becomes too difficult to understand in a 2D space. As a result, researchers look for system abstractions to help engineers understand the system architecture and its ...

Self-reflection, a process consisting of evaluation, attribution, and adaptation, is recognized as key to learning in esports games. To better facilitate self-reflection, many games and third-party tools feature retrospective visualizations that provide ...

Scriptwriters usually rely on their mental visualization to create a vivid story by using their imagination to see, feel, and experience the scenes they are writing. Besides mental visualization, they often refer to existing images or scenes in movies ...

Radiotherapy requires precise segmentation of organs at risk (OARs) and of the Clinical Target Volume (CTV) to maximize treatment efficacy and minimize toxicity. While deep learning (DL) has significantly advanced automatic contouring, complex ...

This work introduces Emerging Platforms in 3D for Art and Cultural Heritage, an interdisciplinary approach to advancing ultra-high-resolution 3D imaging for art conservation, research and engagement. In presenting a more intimate and detailed digital ...

Neurofeedback refers to the process of feeding a sensory representation of brain activity back to users in real time to improve a particular brain function, e.g., their focus and/or attention on a particular task. This study addressed the notable lack of ...

In safety-critical applications, domain-specific modeling (DSM) remains insufficiently automated, requiring significant effort. One critical issue is ensuring correct visualization without relying on manual verification processes. In other words: "is ...

In cross-cultural social interactions, understanding non-verbal cues is as crucial as language. Distancebit is a critical design that reflects on how personal computing devices influence these interactions and explores the evolution of Augmented Reality (...

We present HyperCausal, a 3D hypertext visualization framework for exploring causal inference in generative Large Language Models (LLMs). HyperCausal maps the generative processes of LLMs into spatial hypertexts, where tokens are represented as nodes ...

This paper posits that spatially structured concepts can function as a visual representation of knowledge, a notion supported by common methods of eliciting and presenting mental models. Despite an existing gap in understanding the correlation between ...

We present ZoneTrace, a runtime monitoring tool for the Flash-friendly File System (F2FS) on Zoned Namespace (ZNS) Solid-state Drives (SSDs). ZNS SSD organizes its storage into zones of sequential write access. Due to ZNS SSD’s sequential write nature, ...

Providing system-generated explanations for recommendations represents an important step toward transparent and trustworthy recommender systems. Explainable recommender systems provide a human-understandable rationale for their outputs. Over the past two ...

While data is the cornerstone of modern design strategies, design researchers frequently struggle when performing data work. This creates a need to design tools that enable design researchers to actively engage with data. However, this presupposes ...

Critical Climate Machine is a cutting-edge media art installation that critically exposes and quantifies mechanisms of climate change misinformation. Utilizing computational aesthetics across data, imagery, and sound, this work processes real-time data ...

Here, we are focusing on how our real-time visualizations are being used to improve the QA/QC process. While the AEC industry has utilized 3D CAD design software for years, the review process still typically involves commenting on printed 2D drawings or ...

The development of visual computing workflows for clients of the Advanced Visualization Lab (AVL) at Indiana University is challenged by ever larger client datasets. In particular, the varied computational infrastructure for client labs is frequently ...

We propose a dynamic multi-objective optimization algorithm for visualizing and clustering topological features of decision space variables. It maps all the obtained historical optimal solutions to the two-dimensional space through t-SNE, clusters the ...

The performance of evolutionary algorithms for multi-objective optimization is typically assessed by considering only the final populations. This is troublesome for the following reasons. First, it ignores most solutions constructed throughout the ...

Visualization is useful for understanding the behavior of Multiobjective Evolutionary Algorithms (MOEAs). However, it has been challenging to investigate how an MOEA may be trapped by local Pareto optima, in which case some individuals stay inside a "...