Hi! I’m Shrreya, a PhD student specializing in Human-Computer Interaction (HCI) and Human Factors, with a passion for human performance modeling.
With over 5 years of experience in academic and applied settings, I’ve completed internships in diverse environments, bringing a unique, computer science based approach to psychology via cognitive modeling and human factors engineering.
I currently serve as the President for the Rice Human Factors and Ergonomics Society. My expertise lies in applying quantitative methods to human-centered design, with a particular focus on optimizing performance in high-stakes environments. I aim to enhance human performance and improve user experiences by solving complex real-world problems.
Digging Into Data
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Visual Grouping Algorithm
Dissertation research focused on developing an algorithm to extend the ACT-R cognitive architecture.
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Task Order Effects on the System Usability Scale
Ongoing research study examining how the order of easy and hard tasks on a college website affects the usability ratings with the SUS under supervision of Dr. Phil Kortum
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Transparency Questionnaire for AI systems
This project involved developing a questionnaire to evaluate user perceptions of product transparency, utilizing insights from previous discussions on transparency. Further psychometric training this semester aims to refine and validate the questionnaire for future publication.
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Essentialism, Anthropomorphism, and AI
This study focuses on answering the following questions: How does essentialist thinking about technology affect attitudes about AI? How does anthropomorphic thinking about technology affect attitudes about AI? What is the relationship between anthropomorphism, essentialism, and attitudes about AI?
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Communicating Intuitively
This study built on to previous research regarding science communications; we used the learnings from “Findings from the NUCOREpus” to test participants’ understanding of articles about DNA that contain varying levels of intuitive language.
We found that anthropomorphic language improved understanding, while essentialist language impaired understanding.
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Findings from the NUCOREpus
This was a field study that evaluated the use of intuitive language across publicly available science communications about DNA and Genetics. We sourced articles from the internet and examined the levels of intuitive language they contained; specifically, anthropomorphism, essentialism, and teleology.
Human-Centered Design
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Smart Stovetop & Oven
Designed a smart electric stovetop and oven combination would likely result in the most ease of use, safety, and satisfaction.
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Environment Systems: Autonomous Vehicle
Designed the controls and displays for the environmental systems (AC, seat-warmer, etc.) in a Level 4 autonomous vehicle using gesture interfaces, audio interfaces
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Smart Grocery Cart
Designed a shopping cart to allow a user to bypass using the store’s checkout system through a built-in scanner and camera using tests such as verbal protocol analysis and tasks using digital prototypes, alongside cognitive walkthrough, flow analysis
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Khoury Kalendar
Developed the basic interface in Java to run multiple user experience and user interface tests for a program that allows students to check the waiting time for office hours and pre-add themselves to a list - reduced the time a student spends overall at office hours significantly by more than 75%
Fun Meets Function
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Formula 1 Commentary Analysis
This project investigates the factors influencing commentator predictions in Formula 1 racing, focusing on the role of racer fame and team strategy. We analyzed pre-race shows and race data from 18 races across three years, along with analyzing the critical role of tire strategy and pit stops in race outcomes, emphasizing the complexity of team decisions in F1 success.
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Machine Learning for Soccer Transfermarkt
This project focuses on developing a machine-learning algorithm to predict soccer players' market values based on demographics and game-play statistics, aiming to identify key value drivers and detect under- or overvalued players.
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Maze Game
This is a maze game where players must try to escape by navigating their way from the top-left of the maze to the bottom-right. The goal was to develop a maze game that allows users to render the solution using both depth-first & breadth-first searches
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Animator
The goal of this project was to build an application that helps to create simple but effective 2D animations from shapes. I developed a program that reads text files to generate animations.
