Bringing the lab to subjects at home - How AI transforms large scale data collection and the way we study human behavior

This workshop explores the frontiers of online behavioral research, demonstrating how new technologies are enabling the large-scale collection of high-quality data outside of the traditional lab. A primary highlight of this session is Labvanced's peer-reviewed, deep-learning-powered eye-tracking methodology. This technology offers unprecedented accuracy and accessibility, empowering researchers to collect thousands of eye-tracking data sets remotely. The workshop will provide a hands-on demonstration of the entire workflow: from initial calibration and implementation in various paradigms to the final analysis of eye-tracking data. Applications for Cognitive Psychology, Economics, and Marketing Research will be shown during the process.

Beyond eye-tracking, the workshop will delve into other cutting-edge features for creating sophisticated online studies. Specifically,  it will demonstrate how to implement multi-participant designs for economic games and social interaction research, leverage AI integrations like ChatGPT, utilize automatic speech-to-text transcription, and show the power of longitudinal studies. Finally, the workshop will offer a glimpse into the future of remote biosensors, with an outlook on upcoming technologies such as webcam-based pupillometry and heart rate detection (remote photoplethysmography). By the end of this workshop, attendees will understand how to transform traditional lab-based experiments into powerful remote studies, unlocking unprecedented scale and paving the way for groundbreaking new insights.