Grady is a fun research project by Computer Science students at Foothill College, Los Altos Hills, CA, and UC Santa Barbara.

The project aims to find data to investigate how humans approach problems that can be tackled with analytical versus visual cues. This game, Grady, was developed by us to collect and interpret data to this end.

The Research Team (Alphabetical order)

Rebecca Blau

is a first-year CS student at Foothill College. She is interested in learning about how computer science and biology intersect. Rebecca is a hands-on learner, so she wants Grady to reflect on the importance of visual learning. She also seeks to gain experience with collaboration in the computer science field through this opportunity.

Katelyn Deng

is currently a Dual Enrollment student at Foothill College. As a music enthusiast, she is excited to combine her knowledge of art with her passion for computer science in the Grady Project. Through this opportunity, she especially hopes to gain more hands-on experience in research collaboration and in writing research papers. As a keen piano player, Katelyn is working on a set of sound effects for the next version of this game.

Rui Dong

is a CS student at Foothill College, and the winter of 2024 is her first quarter. Rui has multiple postgraduate degrees in business and has over 5 years of experience working in the operations department of a tech company, where she finally found her interest in CS when her team tried to automate slow-moving workbooks.

Ryan Gillies

is a CS student at Foothill College with an additional interest in debate, ethics, and philosophy. Having taken nearly an equal share of STEM and humanities classes, Ryan believes that working with and studying the implications of the Grady game offers an invaluable opportunity to utilize CS knowledge to understand the potential self-fulfilling effects of individual strengths and weaknesses.

Rina Li

is a CS student at Foothill College with an Applied Math degree from UC Berkeley. She is interested in the intersection of math and cognitive science. She sees the Grady project an opportunity for hands-on research in both fields. Rina led the quantitiative and research efforts for the Grady project.

Isidor Manning

is an international CS student from Sweden. While also being passionate about fields like physics and entrepreneurship, Isidor has always had a particular fascination for AI and data science. As a consequence of this fascination, Isidor is dedicated to developing the Grady game into a statistical tool, capable of unraveling the learning patterns exhibited by various individuals playing the Grady game. Isidor was the main project coordinator and also participated in the software development for this project.

Wesley Miller

holds an MFA in studio art from UC Davis and is now pursuing an education in computer science.

Sanatan Mishra

is a CS student at Foothill College. He is interested in computer science and wishes to use computer science and AI to make the world more convenient and safer.

Ariana Yi

is a dual enrollment student at Foothill College. She is interested in computer science and mathematics, hoping to major in both of these fields in the future. She aspires to be a professor, inspiring and guiding others to learn. As an artist who learns best from the visualization of concepts, she hopes to use her background in both arts and STEM to contribute to the Grady Project, which encourages engaging and effective visual learning.

Cindy Zhao

is studying CS at Foothill/UCSB. Growing up, she found STEM concepts difficult to grasp without proper visual aids. With the Grady project, she hopes to develop recommendations for mathematics instruction to improve general math literacy. She's also interested in researching emergent AI behavior and finding answers at the intersection of tech and the humanities. Cindy coordinated data collection from locations outside of the US.

Research Report and Data

Preliminary investigation of the Grady Data can be found here and the Grady Research report can be found here

All the data collected by Grady can be found at this address. In fact, if you scroll towards the bottom of that page you may recognize the data records from your own game. This data is 100% free for research use.

Easter Eggs/Tips for Grady

• Toggle the difficulty level by changing “level” in the url: "index.html?level=1". Level 1 is default. Currently acceptable levels are 1, 2 and 3, which require increasing precision in the input guesses. Here are links for level 2 and level 3 if you're feeling lazy.
• In visual mode, you can zoom in on only the y-axis by hovering your cursor over it and using your scroll wheel to zoom.
• Getting too tough? End the game early by entering I give up.

Feedback and bug reports

Please contact isidormanning@gmail.com.

We hope you enjoyed Grady.

The Grady Team