This project aims to explore the creation of wearable data sculptures by merging art with data visualization. By transforming abstract data into tangible physical forms, these sculptures provide a tactile and aesthetic experience. With a specific focus ...

Our participatory art project, Bitter Data, allows the audience to taste the bitterness of 100,000 trouble data via 11 teapots corresponding to 11 years of data. The bitterness and color of each pot reflect the quantity of trouble data in the ...

Daily Sketches (2022) is a collection of computational sketches the author created in the year 2022. The sketches include still images, short animations, and interactive visuals that are rendered in real time based on the presence of viewers. In ...

Museum collection strategies are governed by a variety of factors, including topical focus, acquisition funds, availability of works in the art market, donations and specific coincidental opportunities. Yet, it remains unclear if more fundamental ...

This paper aims to explore the use of color and color harmony in Vincent van Gogh’s paintings and present the results in the form of a web-based digital museum to provide an intuitive and immersive experience to the public audience. To achieve this ...

Projection mapping is a form of urban public art that uses light and video to transform buildings and structures into dynamic canvases. However, producing high-quality projection mapping content with compelling storytelling requires extensive time and ...

Relational datasets capture insights into complex networks of entities and their interconnections. The analysis of such datasets is critical for various domains, from social and biological networks to scientific research. The complexity and ...

Deep Reinforcement Learning (DRL) has been remarkably successful, but the lack of RL expertise and the complexity of DRLs hinder model understanding. In this paper, we focus on visual analysis of experience data to improve the interpretability of DRLs, ...

PNG-8 images are commonly used on the web due to their small size, but their limited color palette often leads to dithering artifacts. Unfortunately, restoring these images using a conventional convolutional neural network (CNN) often results in ...

Generative models provide an efficient way to analyze and understand unlabeled data, creating the latent space for data modeling and generation. Since the interpretation of latent space usually requires implicit expert knowledge, this human-centered ...

Scene-graph-based Visual Question Answering (VQA) has emerged as a burgeoning field in Deep Learning research, with a growing demand for robust and interpretable VQA systems. In this paper, we present a novel visual analysis approach that addresses two ...

We introduce the Collection Space Navigator (CSN), a browser-based visualization tool to explore, research, and curate large collections of visual digital artifacts that are associated with multidimensional data, such as vector embeddings or tables of ...

Style information, such as tone, mood, and genre of artworks, is important for museum visitors to appreciate them better. However, such information can be challenging for non-art specialists to comprehend in the short period that they view artworks. ...

A key challenge in data analysis tools for domain-specific applications with high-dimensional time series data is to provide an intuitive way for users to explore their datasets, analyze trends and understand the models developed for these applications ...

While financial forums are increasingly significant in financial analysis, current visualization tools do not properly exploit their text data. To address this, we present BiverWordle, a novel tool that reveals the relationship between market sentiment ...

Virtual reality (VR) and associated technologies have rapidly grew, creating new opportunities for improving mental health. In order to provide an immersive and concentrated meditation experience, this paper offers the idea of VR-assisted meditation, ...

User avatars are a critical component in collaborative Virtual Environments. A multitude of tools exist, employing various avatar types for self-representation and the representation of others. However, the optimal appearance for these avatars remains ...

Augmented reality (AR) is a burgeoning interaction technology with the ability to provide users with immersive everyday experiences. Shopping is among the most common experiences. When consumers purchase products, they often encounter difficulties in ...

Virtual reality (VR) technology has been used for educational purposes in different learning contents during teaching and training. VR could improve users’ learning efficiency and motivation to study abstract concepts. This work designed a VR ...

Dockless Bike-sharing systems can be treated as a typical paradigm of the sharing economy. Due to the indiscriminate use and placement of huge bikes, their scheduling rules are complicated, which poses a challenge to the macro-control of the companies ...