Human Latent Metrics: Perceptual and Cognitive Response Correlates to Distance in GAN Latent Space for Facial Images

Shimizu, Kye; Ienaga, Naoto; Takada, Kazuma; Sugimoto, Maki; Kasahara, Shunichi

doi:10.1145/3548814.3551460

Cited by 3 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, K is a constant deviation from the participant, common across all facial samples from participants. The value of K = 70.0 is defined based on the preliminary investigation, as well as previous literature 51 . By using the obtained w other(i, j) as the input into the generating network of StyleGAN2 43 , we can generate the tailored 'other' face which is a constant deviation from the participant toward each destination faces (Fig.…”

Section: Methodsmentioning

confidence: 99%

Investigating the impact of motion visual synchrony on self face recognition using real time morphing

Kasahara,

Kumasaki,

Shimizu

2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

Face recognition is a crucial aspect of self-image and social interactions. Previous studies have focused on static images to explore the boundary of self-face recognition. Our research, however, investigates the dynamics of face recognition in contexts involving motor-visual synchrony. We first validated our morphing face metrics for self-face recognition. We then conducted an experiment using state-of-the-art video processing techniques for real-time face identity morphing during facial movement. We examined self-face recognition boundaries under three conditions: synchronous, asynchronous, and static facial movements. Our findings revealed that participants recognized a narrower self-face boundary with moving facial images compared to static ones, with no significant differences between synchronous and asynchronous movements. The direction of morphing consistently biased the recognized self-face boundary. These results suggest that while motor information of the face is vital for self-face recognition, it does not rely on movement synchronization, and the sense of agency over facial movements does not affect facial identity judgment. Our methodology offers a new approach to exploring the ‘self-face boundary in action’, allowing for an independent examination of motion and identity.

show abstract

Section: Methodsmentioning

confidence: 99%