iiinova — where your digital self keeps evolving

huiqinchen.bsky.social

@huiqinchen.bsky.social

Reposted by @huiqinchen.bsky.social

Dirk Bernhardt-Walther @dirkbwalther.bsky.social · 31/03/2026

Our brains cling to stability: when scenes slowly change, people still see the original for longer than expected. This AI-image study shows that perception lags behind reality -our minds favor continuity over constant reprocessing. doi.org/10.1037/xhp0... @uoftpsychology.bsky.social

185

Reposted by @huiqinchen.bsky.social

Dirk Bernhardt-Walther @dirkbwalther.bsky.social · 31/03/2026

Wonderful undergraduate research by @huiqinchen.bsky.social, with @myang01501.bsky.social, @songaeun.bsky.social, and @drmack.bsky.social @macklab.bsky.social, shows a strong hysteresis effect for crossing a scene category boundary in opposite directions. PDF: www.bwlab.org/publications

Example of Bayesian fitting result from an example sequence (sequence 32, motor reaction time removed). The x-axis is zero-centered time distance from the middle of the transition in seconds. The y-axis is the percentage of participants perceiving the stimuli as Category B. This graph compares the transitions for sequence 32 between directions A to B (red) and B to A (blue). Data from direction B to A were recoded to share the same x-axis with data from direction A to B.

031