You're pledging to donate if the project hits its minimum goal and gets approved. If not, your funds will be returned.
Automation bias with AI has increasingly been a problem, leading to loss of critical thinking, loss of confidence, and lack of real world skills. Many people can't realize or monitor whether they are over relying on these agents, making them unable to try and be a little more independent than they were. Since the majority of users use chatbot interfaces to interact with AI, we can run a study on the digital biometrics of people using these interfaces, leading to recognizable patterns. Since there are already studies of physical symptoms during automation bias, we know that there will be some patterns in the biometrics. After finding the symptoms, we can build an app that actively tracks the user's movement, for example keylogging, leading to real time diagnosing. We can even see how these symptoms connect to other human aspects overall.
The goal is to find patterns in the digital biometrics when users interact with a AI chatbot. We will achieve this by asking users whether news headlines are real or fake, with help from an AI chatbot interface, and tracking their movements.
I will be using this funding 3 ways. Using it to submit my project to an IRB committee (~$1,000), by paying users on prolific or MTurk to use my data collecting app (~$1,500), and a subscription to Claude Code.
This is an independent research project and my first.
The most likely cause is that there are no consistent symptoms and nothing to track. It also might be too rudimentary and non-specific. Another risk is that this project is too privacy invasive, but it won't be able to be used for malicious purposes.
I have raised no money