Amazing! congratulations

!

Super cool, congratulations! @jadynpark.bsky.social and Yuan Chang

📊 Key finding:
Participants over-attributed AI generation, labeling nearly 60% of all images as synthetic—even though only half were.
This "AI attribution bias" leads to:
✅ Higher accuracy detecting synthetic images
❌ Lower accuracy recognizing authentic images (5/)

Finally! Congrats, great to see this one out

I'll be presenting work led by Anqi Mao, a PhD student of mine, on improving human detection of AI-generated faces via training. This kicks off a new direction in our lab's research on social perception and interaction in digitally mediated contexts. More to come! @ohlab.bsky.social

Congrats Joy Tong for her single-presenter talk acceptance at #SPSP2026: “Intrapersonal Factors Trump Contact Frequency in Cross-Racial Face Recognition.”

Network analysis shows that quality interactions (not mere exposure) are what matter for improving other-race recognition.

Congrats Finneaz @firdausmoner.bsky.social for his accepted symposium “The Architecture of Status Perception: Economic Status Stereotype Awareness Shapes Clothing-Based Competence Perceptions” at #SPSP2026!

He’ll present “Dressing the Part,” and Ming Huang (Ben) Teo will share “Empowering Attire."

Thanks Jeni for mention & repost !

The results open a path for new interventions that don’t just target stereotypes but also attempt to recalibrate biased visual perception directly, with the hopes of mitigating such high-stakes misjudgments under stress and uncertainty.

(6/6)

While past work has generally assumed such weapon-identification biases involve an accurate perception of the object but then a racially biased impulse that is difficult to control, our findings suggest that part of the problem is a temporary visual distortion as well.

(5/6)