Emotion Recognition in Product Evaluation: Leveraging Face Tracking Data in Virtual Reality Environments

The use of Virtual Reality (VR) technologies in product design allows for the creation of virtual prototypes, which can be evaluated in immersive environments in a realistic and controlled manner. Unlike traditional assessment methods which rely on self-reporting, novel techniques based on eye-tracking and face-tracking technologies enable a more accurate and unbiased understanding of users’ emotions in response to a product. In this paper, we report the development of a system for the collection of real-time behavioral data during product evaluation in virtual environments through face tracking techniques. Our findings suggest that the ability to interpret users’ emotions during their interactions with virtual prototypes provides valuable information for designing products that can more effectively meet the needs and preferences of users.