Jialin's Project Page
Jialin Wu
Creating a Mathematical Model to Represent Personal Bias and Diversity in a Video Game
Student Bio
Who: I was born in China and raised in Northern Utah. I love to go on walks and hike in the mountains, and I enjoy drawing and playing video games.
My engineering interests: Since I was a junior high school, I have wanted to go into something science related. It was not until high school, with the support of some amazing teachers, that I realized how much I love math, coding, and engineering.
Academic goals: I am currently pursuing a degree in Computer Science with an Emphasis in Entertainment Arts and Engineering. I hope to continue working in my ACCESS lab and to learn more about computing and other disciplines.
Career goals: After earning my undergraduate degrees, I might go into industry or pursue a PhD in CS. Maybe I want to be a professor, maybe I want to create games or develop software. I’m looking forward to my unknown future!
Research Abstract
Often, a person does not recognize their own implicit biases until it is pointed out, generally in confrontation from other individuals to the biased individual. Even when a bias is brought to light, often the individual may express defensive and angry behavior, resulting in a negative confrontation and resulting in the individual avoiding the situation. Our goal is to create awareness of implicit biases within people in the context of hiring university faculty, while avoiding negative situations. We aim to create this awareness via a computerized serious game.
In the faculty-hiring simulation game, the player is presented with situations that might prompt them to behave in a biased way. The player’s behavior will be recorded as inputs. The inputs will be translated into correlated numbers that can be used to give the player a diversity score and an employee excellence score. By calculating and showing the players a score based off of their potential biases, we hypothesize that we will successfully elicit player awareness of their own implicit biases in the faculty hiring process.
Project Video
Research Poster
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