Research Methodology
Choosing a research method means weighing considerations like measurement validity, calibration and data-quality decisions, and whether a paradigm transfers across contexts. Labvanced is given as an example of how a particular consideration can be handled, when a concrete implementation helps make the point.
The topics that will be covered include:
- Webcam Eye Tracking vs. Lab Eye Tracking: A Methodological Comparison
- Remote Heart Rate Detection (rPPG): What It Can and Can't Measure
- Remote emotion detection methodology
- How to Design a Controlled Human-AI Interaction Study
- How to Run a Synchronous Multi-Participant Online Experiment
- What It Actually Takes to Get Clean Data from an Online Study
- Moving Your Lab Study Online: A Protocol Migration Guide
- From Survey to Experiment: Adding a Behavioral Layer to Your Study
Available Resources on Methodology
- Design Considerations that Affect Webcam Eye Tracking Accuracy: what the validation literature shows about webcam eye tracking accuracy, and the calibration, stimulus, and environmental decisions that determine whether a study achieves it.
- AI Confederate: Methodology and Validity: the methodological case for using an AI agent as a confederate in deception, social-pressure, and negotiation paradigms, and what controlling its behavior rigorously requires.
Already know which method to use, and want to see it in practice rather than evaluate whether it holds up? The technology and research tasks sections cover platform capabilities and specific paradigms.
Have an idea for an upcoming methodology piece?
Further Reading
Experiment Design
Implementation guide: structuring blocks, trials, and conditions when building a study in Labvanced.
Randomization & Balance
Implementation guide: configuring randomization and counterbalancing across conditions and participants.
Eye Tracking
Implementation guide: setting up calibration, recalibration, and data-quality thresholds for an eye tracking task.
Generative AI
Platform capability: embedding OpenAI and ChatGPT directly into a psychology experiment as a stimulus or interaction partner.
Emotion Detection
Platform capability: analyzing facial expressions in real time with precise, time-stamped data.