Home
About
Cancel

About

Hello:) I am Wei

I am a PhD student in the VIXI lab, University of Victoria, under the supervision of Prof. Charles Perin and Miguel Nacenta. My research interest span from visualization co-design, cognitive augmentation, to physicalization, and more generally, interaction design. I was a research intern at Télécom Paris with Prof. Samuel Huron. Before that, I had an incredible MSc (under the instruction of Prof. Ehud Sharlin) at ilab, University of Calgary.

I am a hiker who likes exploring the nature, a programmer who is poor in algorithm, a designer who has radical ideas, a gamer who keeps trying after repeated defeats, and a reader who loves history, sci-fi, fantasy, as well as classics.

You can find my CV here

Publications

Image Description

Locatability and Locatability Robustness of Visual Variables in Single Target Localization

Wei Wei, Miguel A. Nacenta, Michelle F. Miranda and Charles Perin. IEEE TVCG journal paper track at IEEE PacificVis, 2026. Conditionally accepted.

Image Description

The Fuzzy Front Ends: Reflections on the Never-Ending Story of Visualization Co-Design

Wei Wei, Foroozan Daneshzand, Zezhong Wang, Erica Mattson, Charles Perin, and Sheelagh Carpendale. alt.VIS at IEEE VIS, 2025 Paper

Image Description

Towards Autocomplete Strategies for Visualization Construction

Wei Wei, Samuel Huron, and Yvonne Jansen. IEEE VIS, 2023 Paper

Image Description

Touch and Beyond: Comparing Physical and Virtual Reality Visualizations

Danyluk Kurtis, Teoman Tomo Ulusoy, Wei Wei, and Wesley Willett. IEEE Transactions on Visualization and Computer Graphics, 2020 Paper

Image Description

Design of Anthropomorphic Interfaces for Autonomous Vehicle-Pedestrian Interaction

Wei Wei. Master Thesis, 2022 Paper

Ongoing Projects

  • Co-design Visualization with the Arts Sector on Vancouver Island

    This project is a long-term collaboration with the local arts communities on Vancouver Island, supervised by Prof. Sheelagh Carpendale at SFU and Charles Perin at University of Victoria. The collaboration took shape through a participatory initiative that brought together members of the arts sector and visualization researchers, with the shared goal of empowering local arts communities through data science and visualization. The project aimed to explore economic data relevant to the arts sector uncover narratives embedded in existing datasets, and co-design potential solutions for improved data collection and visualization. Ultimately, the goal is to equip the local arts community with tools and insights to support data informed decision-making and policy change on arts funding allocation

  • Characterizing the Locatability of Visual Variables

This project studies the locatability and locatability robustness of seven visual variables. One typical phenomenon that comes from locatability is the popout effect, which enables a distinct item (the target) to stand out from many others (elements) immediately. But we are still unclear about which factors and how they might affect the selectivity. This project aims to bridge this gap. Through a crow-sourcing study, we examine the visual variables (Hue, Length, Luminance, Orientation, Shape, Size, Single-Hue) and three factors: the layout of all elements (are they in a grid or not?), the location of the target (is the target in the center or periphery of the screen?), and set size (the total number of elements shown). For exploration, I create a visual search playground.

As a hobby-oriented project, I am collecting and maintaining a data sheet that aims to log all individuals recorded in Sanguozhi - Records of the Three Kingdoms, a Chinese history classic that chronicles China’s history from 180 CE to 284 CE. You can find more info about the book on the Wiki Page. At this moment, the data sheet has more than 2500 entries. A detailed description of the dataset is here. In the future, I will turn it into a open-source project and create a database for it. The goal of the project is to develop an online tool that utilizes the potential of employing visualization approaches (timeline, network, map, and more) to synthesize and extract insights from this ancient history book,

This post is licensed under CC BY 4.0 by the author.