Using facial expressions instead of response keys in the implicit association test.

Area of Science:

• Psychology
• Cognitive Science
• Human-Computer Interaction

Background:

• Facial expressions are faster and more intense when congruent with object valence (liking/disliking).
• Traditional Implicit Association Tests (IATs) use key presses for responses, potentially limiting nuanced data capture.

Purpose of the Study:

• To test a novel indirect evaluation measure based on facial response congruence.
• To validate the Facial Response IAT (FR-IAT) as a reliable and valid measure of evaluations.

Main Methods:

• Developed and implemented a web-based FR-IAT using webcam-based emotional facial expression detection.
• Participants completed the FR-IAT, responding with emotional facial expressions instead of key presses.
• Conducted two web studies to assess the FR-IAT's reliability and validity.

Main Results:

• The FR-IAT demonstrated comparable reliability and validity to the traditional keyboard-based IAT.
• Facial responses in the FR-IAT provided richer data compared to key press responses.
• The FR-IAT effectively measured implicit evaluations.

Conclusions:

• The FR-IAT is a reliable and valid indirect measure of evaluations.
• Facial expression detection offers a promising avenue for enhancing indirect evaluation measures.
• Future research should focus on refining FR-IAT methodology, software, and data analysis for improved measurement quality.