Video-based paired comparison to evaluate some cosmetic products under camera movement for dynamic performance

Area of Science:

• Cosmetic Science
• Human-Computer Interaction
• Perception Studies

Background:

• Traditional cosmetic evaluation relies on static images, failing to capture dynamic, real-life consumer experiences.
• Motion and observer viewpoint significantly influence the perception of cosmetic effects like color and texture.
• A need exists for advanced methods to assess cosmetics under dynamic conditions.

Purpose of the Study:

• To develop and validate a novel video-based paired comparison tool for evaluating cosmetic performance.
• To assess motion-related attributes of cosmetics, such as 3D effect, highlight, and color gradation.
• To compare the discriminatory power of video-based versus image-based cosmetic evaluation.

Main Methods:

• Developed an online platform for video-based paired comparison of cosmetic products.
• Evaluated eyeshadow formulations applied to Japanese women, capturing videos with a rotating camera.
• Assessed eyelid 3D effect, highlight, and color gradation via online paired comparison by 60 observers.
• Compared results with traditional picture-based paired comparison using the same observers.

Main Results:

• Video-based paired comparison demonstrated superior product discrimination compared to picture-based methods.
• Dynamic attributes, crucial for cosmetic performance, were more effectively evaluated using video.

Conclusions:

• Video-based cosmetic evaluation, incorporating motion, more accurately reflects real-life consumer experience.
• This method offers enhanced discrimination for motion-related cosmetic attributes over static image analysis.
• The developed online platform provides a robust tool for dynamic cosmetic performance assessment.