Emotion Detection in Commercial Applications

This technical report provides comprehensive best practice guidelines for researchers conducting multimodal online research. Developed by experts from iMotions and audEERING, the paper explores how combining voice analysis, facial expression analysis (FEA), and respiration metrics can provide deeper consumer insights than traditional surveys alone.

Why Download This Report?

As remote data collection becomes the standard for commercial testing, understanding the nuances of biometric data is essential. This report uses a comparative study of advertisements for The Sims and Grand Theft Auto VI to demonstrate how to effectively measure emotional engagement and consumer intent.

Key Insights Include:

  • Study Design & Data Collection: Guidelines for obtaining participant consent, performing technical checks for webcams and microphones, and why you must collect voice and respiration data separately.
  • The Power of Baselines: Learn how to use neutral baselines to normalize individual variability in voice and facial expressions.
  • Advanced Data Analysis: Detailed explanations of Signal Processing, FEA-Adaptive Valence, and the use of Mixed Models to control for individual differences.
  • Innovative Visualizations: Examples of using Circumplex diagrams to map approach-avoidance behavior and Valence Word Clouds to identify the specific words that trigger the strongest emotional reactions.

Whether you are involved in advertisement, package, shelf, or product testing, these guidelines provide a roadmap for leveraging biosensors to capture the “why” behind participant reflections.

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