Seeking Participants for WebXR Developer User Study
Hi Everyone,
Our research group from the Department of Computer Science is working on a XR developers study to understand their design considerations and challenges while developing immersive scenes.
We are seeking participants aged 18 and older with experience in XR development (particularly WebXR development) to take part in a research study. Interested individuals must first complete a (1) screening questionnaire and (2) provide their availability for the main interview. Candidates with suitable backgrounds will be invited based on their responses.
The main interview study will take no longer than two hours and will include questions about participants’ WebXR development experience, along with a series of small coding tasks for a WebXR app using A-Frame and Three.js. Participants will be able to test their code within a web browser, no head-mounted display (HMD) is required. Additional instructions will be provided upon scheduling the interview.
The study will be conducted remotely via Zoom. With participants’ consent, the sessions will be recorded. To ensure anonymity, all recordings will be processed to blur the participant’s face in the video and to modify the audio by altering the pitch of their voice.
Participants in the main interview will receive a $50 Amazon gift card as compensation for their time. Prior to the start of the interview, they will be required to sign a consent form.
If you are interested, please first take the screening survey (it will take less than 15 minutes) (https://purdue.ca1.qualtrics.com/jfe/form/SV_8pj3soHb3BEN7fw). Also, please provide your availability using the form (https://forms.gle/Z7PSXyaUMDQ3kxBL8).
IRB (IRB-2025-498) has approved this study. Please email cmukherj@purdue.edu with any comments or questions. Your participation is voluntary!!
Qualtrics Survey: https://purdue.ca1.qualtrics.com/jfe/form/SV_8pj3soHb3BEN7fw
Google Form (Availability): https://forms.gle/Z7PSXyaUMDQ3kxBL8
Please use the same email address.
XR Developers Study
PI: Prof. Z. Berkay Celik
IRB-2025-498
Department of Computer Science
Purdue University