@luzixu.bsky.social
55 followers 44 following 15 posts
Postdoc Researcher at The Hong Kong Polytechnic University https://www.decision-neuro.com/ Working on visual attention, awareness, memory & decision making CAP-Lab: https://www.cap-lab.net/ AttentionLab: https://www.uu.nl/en/research/attentionlab/team
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luzixu.bsky.social
Thank you, Sebastiaan!😀🎉
luzixu.bsky.social
If you're interested in this article, here's the link: trebuchet.public.springernature.app/get_content/... Thanks to my supervisors @suryagayet.bsky.social @chrispaffen.bsky.social and @Stefan Van der Stigchel for their support!🎉
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attentionlab.bsky.social
Congrats to Luzi @luzixu.bsky.social! We're very proud of you! 🎊
suryagayet.bsky.social
Last Friday the irreplaceable @luzixu.bsky.social successfully defended her PhD (at @utrechtuniversity.bsky.social). This has been an incredibly productive 3+ years, and we are sad to see her leave, but are very proud of her accomplishments (with @attentionlab.bsky.social, @chrispaffen.bsky.social)!
luzixu.bsky.social
Once you eventually select those other times for your next round of search, they are encoded more efficiently thanks to these memory traces.
luzixu.bsky.social
In sum, when you are repeatedly checking your shopping list for the next two/three items to search for, through visual exposure, you build up latent memory traces for the other items on your list as well!
luzixu.bsky.social
We found that inspection durations were again shorter in the stable condition when observers were placing the last four items. Here, differences in sampling duration could only be attributed to prior visual exposure to the last four items (and not to e.g. visual distractions caused by swapping).
luzixu.bsky.social
In Exp. 3, observers were asked to place four cued items (indicated by thick black outlines) first, and four uncued items later. We manipulated the stability of the last four items (uncued items)only while participants placed the first four (cued items).
luzixu.bsky.social
Across 3 experiments, we found that when to-be-placed items were stable, observers took less time to sample them when they were selected for action later. This indicates that -through visual exposure- memory traces build up for prospective items, facilitating subsequent encoding.
luzixu.bsky.social
In the SHUFFLED condition, we randomly swapped the locations of to-be-placed items before participants accessed the Model grid, which should interfere with the build-up of memory traces for unplaced items.
luzixu.bsky.social
In the STABLE condition, the to-be-placed items remained at the same location throughout a trial, allowing for the build-up of memory traces for these unplaced items through repeated visual exposure.
luzixu.bsky.social
Akin to the shopping list example, it is difficult for observers to memorize and place all items in one go. Therefore, participants need to revisit the Model grid, and are frequently visually exposed to items that are not yet selected for immediate action.
luzixu.bsky.social
We asked whether memory traces are formed for these prospective (non-selected) items. To this end, our participants were tasked to reproduce a model grid (left) by dragging items from a resource grid (right) to their correct positions in the workspace (middle).
luzixu.bsky.social
For instance, when using a shopping list, we may select a few items for immediate action, while being passively exposed to other (prospective) items on the list.
luzixu.bsky.social
In our daily lives, we often encounter visual objects that we do not act on immediately, but are nonetheless exposed to, and may engage with in the future.
luzixu.bsky.social
🎉New paper out in JEP:HPP [email protected] @suryagayet.bsky.social @chrispaffen.bsky.social and Stefan Van der Stigchel. We asked whether memory traces are formed for items that have not yet been selected for immediate action, while we are actively sampling targets for imminent action.