Candace Peacock, PhD 🦚
@CandacePeacock1
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Vision scientist @Snap | Gaze & adaptive interventions @CUBoulder | Scene perception @UCDavis | Former @RealityLabs intern | Nature, art, & pun lover | Runner
Boulder, CO
Joined October 2019
Check out our new paper! We introduce surface maps that model continuous probabilities of expected surfaces in scenes & combine them with meaning maps to predict where viewers fixate. Excited & proud of this work. @deb_cronin @JhendersonIMB @TRH_PhD
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Want to do vision science and work on cutting edge AR technology? Snap is hiring an intern for 2024! Please see this link to apply:
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RT @ArciniegaPhd: New lab logo. Come join us in NYC! I will be looking to hire a research assistant and postdoc in January. https://t.co/…
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Want to do vision science and work with cutting edge augmented reality hardware? We’re hiring an intern! If you are interested in applying, please see this link: and message @KatieTregillus with questions.
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Check out our paper and prez at ETRA this week! We find that eye movements are sensitive to input recognition errors in virtual reality which gives them the potential to be used in adaptive error mediation.
New paper! "Gaze as an indicator of input recognition error" will be presented tomorrow by @CandacePeacock1 at #ETRA2022! Gaze can be used to rapidly discriminate true positive input from input errors, suggesting potential for adaptive error mediation.
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@kevjones22 @Makkable Lolol this is my favorite episode. @rmcsqrd and I like to joke that we always get seated in the ugly section
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RT @SageQJEP: EXPRESS: Searching for meaning: local scene semantics guide attention during natural visual search in scenes Candace E. Peaco…
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Check our new paper. We find that (surprisingly) despite all the other constraints on search, that meaning continues to guide attention during visual search in scenes.
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Sidney D'Mello's lab is hiring a postdoc to do research on collaboration, small group work, & computer-supported collaborative work at the AI Institute for Student-AI Teaming @CUBoulder. Apply here:
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