Mixed Methods and Behavioural Science

Key Insights

• •

  Mixed methods research blending qualitative and quantitative data delivers deeper understanding of both observable behavior and underlying motivations.

• •

  Eye tracking combined with EEG and facial expression analysis can reveal subconscious attention, emotional valence, and motivation shifts during user interaction.

• •

  Increased pupil dilation indicates arousal or heightened attention, while prefrontal asymmetry changes correlate with approach or avoidance motivation.

• •

  Users often fixate first on salient elements, but repeated revisits to specific content indicate genuine interest and engagement.

• •

  Websites lacking sufficient visual content, like images on hotel landing pages, are perceived as less trustworthy and inviting.

• •

  Cognitive load increases when users struggle with tasks, detectable via metrics like blink rate reduction and EEG signals.

• •

  Simplifying tasks and motivating users are the two primary levers to improve behavior and conversion on digital platforms.

• •

  Behavioral science-based experiments can identify friction points contributing to drop-offs, enabling targeted design improvements.

• •

  Ethical considerations, including screening for neurodiversity and disability, are crucial when applying biometric behavioral research.

• •

  Triangulating lab-based biometric insights with real-world analytics and user feedback allows building testable, effective UX hypotheses.

Notable Quotes