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Vision Sciences Society Annual Meeting Abstract September 2021

Features derived from a deep neural network distinguish visual cues used by CCTV experts versus novices

Yujia Peng; Joseph Burling; Greta Todorova; Hongjing Lu; Frank Pollick

Journal of Vision. 2021; 21(9):1965. https://doi.org/10.1167/jov.21.9.1965

Vision Sciences Society Annual Meeting Abstract September 2021

Expectation Modulates Performance Above the Effect of Attention in Two Dynamic Online Experiments

Greta K. Todorova; Ian M. Thornton; Frank E. Pollick

Journal of Vision. 2021; 21(9):2609. https://doi.org/10.1167/jov.21.9.2609

Vision Sciences Society Annual Meeting Abstract August 2017

The importance of gaze coherence of CCTV operators in facilitating the ability to recognise harmful intentions

Greta Todorova; Joseph Burling; Hongjing Lu; Frank Pollick

Journal of Vision. 2017; 17(10):546. https://doi.org/10.1167/17.10.546

Vision Sciences Society Annual Meeting Abstract September 2016

A comparison of eye-movement patterns between experienced observers and novices in detecting harmful intention from surveillance video

Joseph Burling; Hongjing Lu; Greta Todorova; Frank Pollick

Journal of Vision. 2016; 16(12):1340. https://doi.org/10.1167/16.12.1340

Vision Sciences Society Annual Meeting Abstract September 2016

Recognizing harmful intent from surveillance video viewed through the eye-movements of novice and experienced observers

Frank Pollick; Greta Todorova; Steven Thurman; Joseph Burling; Hongjing Lu

Journal of Vision. 2016; 16(12):1342. https://doi.org/10.1167/16.12.1342

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