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Xindi Kang is a researcher and artist working with interactive media. She is interested in interfacing between human and technologies through voice and movements. She designs experiences that inspire the users to see and hear themselves in different ways. Her research and professional interest lies in human computer interaction and user experience design. She is currently working towards her master's degree at the Media Arts and Technology program at the University of California, Santa Barbara.

Aurora
Data Visualization | Processing

Oscilla
Interactive Installation | Allolib + Pd

Luminaria
LED Installation | Arduino

GeoD
Data Visualization | Google Maps JS API

Invisible Machine
Exhibition | Web Design/Curation

Painting Series
Paintings | Oil on canvas

xindi[at]ucsb[dot]edu



Aurora

Aurora is a 3D data visualization of the relationship between people’s level of curiousity for the aurora borealis and the actual insensity of the aurora borealis in the North Pole. The visualization demonstrates book-checkout data from the Seattle Public Library and the solarwind intensity data from NASA from 2006-2014. The raw data sets were processed through SQL and Python Jupyter Notebook and then visualized in a spherical coordinate system to allow 4 dimensions of information (month, year, dewey class, and level of interest/ intensity) to exist simutaneously. Users can scroll through 10 years of data with the GUI element and see the fluctuation between years animated. They can also turn on and off different scales such as month, year, and dewey class with key press interaction.



Oscilla

Sound can be visualized in a number of ways. Different forms of representation are typically used as analytical tools in the context of scientific inquiry. Oscilla is an audio-visual installation that allows the audience to interact with a waveform with their own voice through a microphone, and experience both the acoustic and visual results. The audience is encouraged by the visual feedback from the waveform and the audio feedback from the ring-modulation filter to produce more interesting results with their voice. With more experimenting, the audience can deduce certain patterns hidden in the algorithm of the visual pattern and gain control over them.

// In collaboration with Rodney Duplessis

// Currently Exhibiting at Museum of Sensory and Movement Experiences




Luminaria

Luminaria is an LED installation as part of IV Lightworks exhibition. LEDs installed on a bridge in Anisquoio Park, with colors and patters responding to incoming traffic (pedestrians, bikes and skateboards) detected by transducers attached underneath the bridge. Responses are made programmable by four Arduino units

// In collaboration with: David Aleman, Hsin Hsuan Chen, Chris Hoang, Intae Hwang, Xindi Kang, Lu Liu, Wen Liu, Brenda Morales, Andrew Piepenbrink, PJ Powers, Rebecca Prieto, Annika Tan, Leonardo Vargas, Muhammad Hafiz Wan Rosli, Dan Wang, Carmen Wen, Junxiang Yao

// Exhibited June 2016 - June 2017, Anisq'Oyo Park, Isla Vista, CA




GeoD

GeoD visualizes geographical information (locations and entities with geocoded information) contained in topic models. It can be used to analyze locations discussed in the whole corpus underlying a whole model or in a specific topic. The geocoded information that MetadataGeoD maps is gathered from the corpus for a topic model first through a “wikification” process (using the Illinois Wikifier; see L. Ratinov et al., 2011) that confirms the recognition of named entities by checking for correspondence to locations, organizations, etc., for which there are articles in Wikipedia, and secondly through collecting latitude/longitude information for the data. (However, not all possible named entities can be recognized and geocoded as locations in this way.)

// Working Version of Geod with 250 Topic Models from WE1S Corpus
// In collaboration with Dan Baciu and Sihwa Park

// Developed for the WE1S Project included in the Topic Model Observatory

// Publications: https://doi.org/10.1016/j.biosystems.2020.104208 https://doi.org/10.31219/osf.io/896wb



MAT End of Year Show 2018 -- InVisible Machine

MAT End of Year Show is a curated exhibition featuring media art works and research demos from the Media Arts and Technology program. Each year we welcome hundreds of visitors from all around the world to celebrate a year of extraordinary work with us. Our theme this year is 'Invisible Machine', representing the mechanism of inducing transformation in the world of Media Arts. At MAT, our community research is the art of the “invisible becoming visible” in every field, from revealing the abstracted processes between input and output of a machine, to turning the complicated scientific data into shapes and colors. As technologists and artists, we weave through this diverse research in novel ways,creating new works that transcend the present way we view the world. Our show is the product of this process, and we invite all to join us in its celebration.

// Show Website: show.mat.ucsb.edu/2018
// Show Highlights:www.mat.ucsb.edu/eoys2018/

// This series of oil paintings are dedicated to my parents, for they are the source of my perseverance and the guiding forces for my aspirations.