Study 2: Hidden Camera Detection

Purpose: Provide feedback on the UI/UX of a real-world hidden camera detection tool.

Learning objectives:  (1) Experience new research tool as it is being developed; (2) understand how network analytics help at-risk users; (3) learn qualitative research methods in human-computer interactions

How to participate?

1. Sign up by filling out this form.

2. We (the research team led by Prof. Danny Y. Huang) will notify you if you're eligible. Space is extremely limited since the study requires in-person attendance.

3. If you're eligible, we will ask if you'd be available for 30 minutes on a particular date at a particular time. 

4. If you're available, you show up in person at our lab on the 13th floor of 370 Jay St, Brooklyn, NY. Before we begin, we will ask you a few questions about your relevant experience.

5. You will use our tool ("Hidden Camera Inspector") to find a hidden WiFi camera in our lab space. There may or may not be a hidden camera.

6. At the end of the exercise, you will need to provide us with honest feedback on whether the Hidden Camera Inspector helped you find the camera, e.g., in what ways it was useful or not useful.

7. You will receive extra credits of 3 points upon completion (whether you found the hidden camera or not).

Data that we may collect from you:

• Transcript of your conversation with us (Steps 4 and 6)

Number of extra credits: 3 points