How do you address potential biases in research studies conducted through eye-tracking technology?

Sample interview questions: How do you address potential biases in research studies conducted through eye-tracking technology?

Sample answer:

Ensure representative sampling: Select participants who reflect the target population to minimize bias from specific demographics or characteristics.
Control for confounding variables: Identify and monitor variables that could influence eye-tracking results, such as lighting, room temperature, and participant demographics.
Randomize stimuli order: Present stimuli in random order to reduce order effects or sequence bias that may influence eye movements.
Use multiple measures: Employ complementary methodologies, such as questionnaires or interviews, to triangulate findings and reduce the reliance on a single source of data.
Validate results: Conduct pilot studies or use pre-established norms to confirm the accuracy and reliability of the eye-tracking measurements.

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