Behavioral Research Blog - Facial Expression Analysis

Generation Z has the shortest attention span for commercials, yet they are becoming an increasingly important market segment. Understanding what captures their interest and how to engage them in commercials is crucial.

In this blog post, we'll dive deeper into the validity and different applications of FaceReader — the most robust tool for automated facial expression analysis.

Facial expressions offer a rich source of information about human emotions. In this study, Elisa Landmann examines the best ways to collect, handle, and analyze FaceReader data in different areas of research.

Emotions deeply influence our daily lives, shaping our moods and behaviors - including our decision making. That's why facial expression analysis is often used in consumer and behavior research.

Is boredom the opposite of interest? Lídia Vinczéné Fekete and her research team used FaceReader and The Observer XT to find out what makes students get bored and which elements encourage interest.

For brands seeking to resonate with customers, being seen as authentic is vital. Using custom expressions in FaceReader, we explore how perception of brand authenticity relates to ad performance.

What if you had a way to understand a baby's unspoken needs? Analyzing facial expressions in infants helps researchers and caregivers understand more about the early development of emotions and social interactions.

Using custom expressions in facial expression analysis can unlock a deeper understanding of human behavior. How can you use custom expressions in different fields of research?

When we want to understand each other better, we tend to copy one another's facial expressions. How does this work in children with autism spectrum disorder? In this blog post, you’ll learn more about facial mimicry in ASD.

Researchers Krause and Franke studied how our experiences change while designing our own products. How do these experiences influence whether we finish a product or abandon the process?