Amelia Hunt

Amelia Hunt


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2011 in Journal of Vision
Verified
Journal Article
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AHAmelia Hunt
Amelia Hunt
Patrick CavanaghPatrick Cavanagh
Patrick Cavanagh
Cells in saccade control areas respond if a saccade is about to bring a target into their receptive fields (J. R. Duhamel, C. L. Colby, & M. R. Goldberg, 1992). This remapping process should shift the retinal location from which attention selects target information (P. Cavanagh, A. R. Hunt, S. R. Afraz, & M. Rolfs, 2010). We examined this attention shift in a masking experiment where target and mask were presented just before an eye movement. In a control condition with no eye movement, masks interfered with target identification only when they spatially overlapped. Just before a saccade, however, a mask overlapping the target had less effect, whereas a mask placed in the target's remapped location was quite effective. The remapped location is the retinal position the target will have after the upcoming saccade, which corresponds to neither the retinotopic nor spatiotopic location of the target before the saccade. Both effects are consistent with a pre-saccadic shift in the location from which attention selects target information. In the case of retinally aligned target and mask, the shift of attention away from the target location reduces masking, but when the mask appears at the target's remapped location, attention's shift to that location brings in mask information that interferes with the target identification.

30 April 2019
Verified
Book Chapter
Closed access
AHAmelia Hunt
Amelia Hunt
JRJosephine Reuther
Josephine Reuther
MHMatthew D. Hilchey
Matthew D. Hilchey
RKRaymond M. Klein
Raymond M. Klein

1 August 2009 in Journal of Vision
Verified
Journal Article
Open access
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AHAmelia Hunt
Amelia Hunt
Patrick CavanaghPatrick Cavanagh
Patrick Cavanagh
How do we know where we are looking? Our direction of gaze is commonly thought to be assigned to the location in the world that falls on our fovea, but this may not always hold, especially, as we report here, just before an eye movement. Observers shifted their gaze to a clock with a fast-moving hand and reported the time perceived to be on the clock when their eyes first landed. The reported time was 39 ms earlier than the actual time the eyes arrived. In a control condition, the clock moved to the eyes, mimicking the retinal motion but without the eye movement. Here the reported time lagged 27 ms behind the actual time on the clock when it arrived. The timing of perceived fixation in our experiment is similar to that for the predictive activation observed in visual cortex neurons at the time of eye movements.

1 May 2016 in Journal of Vision
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Journal Article
Open access
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Alasdair ClarkeAlasdair Clarke
Alasdair Clarke
PGPatrick Green
Patrick Green
MCMike J. Chantler
Mike J. Chantler
AHAmelia Hunt
Amelia Hunt
Previous work has demonstrated that search for a target in noise is consistent with the predictions of the optimal search strategy, both in the spatial distribution of fixation locations and in the number of fixations observers require to find the target. In this study we describe a challenging visual-search task and compare the number of fixations required by human observers to find the target to predictions made by a stochastic search model. This model relies on a target-visibility map based on human performance in a separate detection task. If the model does not detect the target, then it selects the next saccade by randomly sampling from the distribution of saccades that human observers made. We find that a memoryless stochastic model matches human performance in this task. Furthermore, we find that the similarity in the distribution of fixation locations between human observers and the ideal observer does not replicate: Rather than making the signature doughnut-shaped distribution predicted by the ideal search strategy, the fixations made by observers are best described by a central bias. We conclude that, when searching for a target in noise, humans use an essentially random strategy, which achieves near optimal behavior due to biases in the distributions of saccades we have a tendency to make. The findings reconcile the existence of highly efficient human search performance with recent studies demonstrating clear failures of optimality in single and multiple saccade tasks.

8 December 2015 in Psychological Science
Verified
Journal Article
Open access
ACAlasdair D. F. Clarke
Alasdair D. F. Clarke
AHAmelia Hunt
Amelia Hunt
In a series of related experiments, we asked people to choose whether to split their attention between two equally likely potential tasks or to prioritize one task at the expense of the other. In such a choice, when the tasks are easy, the best strategy is to prepare for both of them. As difficulty increases beyond the point at which people can perform both tasks accurately, they should switch strategy and focus on one task at the expense of the other. Across three very different tasks (target detection, throwing, and memory), none of the participants switched their strategy at the correct point. Moreover, the majority consistently failed to modify their strategy in response to changes in task difficulty. This failure may have been related to uncertainty about their own ability, because in a version of the experiment in which there was no uncertainty, participants uniformly switched at an optimal point.

2 July 2018 in Attention, Perception, & Psychophysics
Verified
Journal Article
Open access
PDF file
AMAoife Mahon
Aoife Mahon
ACAlasdair D. F. Clarke
Alasdair D. F. Clarke
AHAmelia Hunt
Amelia Hunt
People are unable to accurately report on their own eye movements most of the time. Can this be explained as a lack of attention to the objects we fixate? Here, we elicited eye-movement errors using...