Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging | Paper Citation Record

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This paper cites Maximum a Posteriori Policy Optimisation.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Maximum a Posteriori Policy Optimisation

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This paper cites Deep-bcn: Deep networks meet biased competition to create a brain-inspired model of attention control.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Deep-bcn: Deep networks meet biased competition to create a brain-inspired model of attention control

Reference 2

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This paper cites Persistence of value-driven attentional capture.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Persistence of value-driven attentional capture

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This paper cites Value-driven attentional capture.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Value-driven attentional capture

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This paper cites Learning dexterous in-hand manipulation.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Learning dexterous in-hand manipulation

Reference 5

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This paper cites Boosted visual performance after eye blinks.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Boosted visual performance after eye blinks

Reference 6

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This paper cites Rudder: Return decomposition for delayed rewards.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Rudder: Return decomposition for delayed rewards

Reference 7

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This paper cites Multiple Object Recognition with Visual Attention.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Multiple Object Recognition with Visual Attention

Reference 8

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This paper cites Confidence controls perceptual evidence accumulation.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Confidence controls perceptual evidence accumulation

Reference 9

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Observation 54d63350-4b3d-499b-8a5b-b5e461323d48 · outbound

This paper cites Reaction time latencies of eye and hand movements in single-and dual-task conditions.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Reaction time latencies of eye and hand movements in single-and dual-task conditions

Reference 10

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This paper cites Dynamic programming and optimal control: Volume I.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Dynamic programming and optimal control: Volume I

Reference 11

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This paper cites Scene perception: Detecting and judging objects undergoing relational violations.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Scene perception: Detecting and judging objects undergoing relational violations

Reference 12

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This paper cites What/where to look next? modeling top-down visual attention in complex interactive environments.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging What/where to look next? modeling top-down visual attention in complex interactive environments

Reference 13

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Observation 89738a4f-05a7-46b0-92d7-1e52843a71ae · outbound

This paper cites Visual long-term memory has a massive storage capacity for object details.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Visual long-term memory has a massive storage capacity for object details

Reference 14

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Observation df9fc657-4d57-4bed-8dce-9c894b299d1b · outbound

This paper cites A bayesian optimal foraging model of human visual search.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging A bayesian optimal foraging model of human visual search

Reference 15

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This paper cites Fixation patterns in simple choice reflect optimal information sampling.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Fixation patterns in simple choice reflect optimal information sampling

Reference 16

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This paper cites Optimal foraging, the marginal value theorem.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Optimal foraging, the marginal value theorem

Reference 17

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This paper cites Predicting human scanpaths in visual question answering.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Predicting human scanpaths in visual question answering

Reference 18

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This paper cites Beyond average: Individualized visual scanpath prediction.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Beyond average: Individualized visual scanpath prediction

Reference 19

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This paper cites Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Deep reinforcement learning-based dynamic resource management for mobile edge computing in industrial internet of things

Reference 20

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This paper cites Autoregressive generalized linear mixed effect models with crossed random effects: An application to intensive binary time series eye-tracking data.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Autoregressive generalized linear mixed effect models with crossed random effects: An application to intensive binary time series eye-tracking data

Reference 21

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This paper cites Eye movement analysis with switching hidden markov models.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Eye movement analysis with switching hidden markov models

Reference 22

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This paper cites Task-evoked pupil responses reflect internal belief states.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Task-evoked pupil responses reflect internal belief states

Reference 23

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Observation 775d7e94-0f00-4331-9c96-4cf41bdb2a5c · outbound

This paper cites Dopamine and inhibitory action control: evidence from spontaneous eye blink rates.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Dopamine and inhibitory action control: evidence from spontaneous eye blink rates

Reference 24

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Observation 17481af8-b4cf-49d8-98cc-811d35f072fa · outbound

This paper cites Scanmatch: A novel method for comparing fixation sequences.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Scanmatch: A novel method for comparing fixation sequences

Reference 25

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This paper cites Maximum expected hitting cost of a markov decision process and informativeness of rewards.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Maximum expected hitting cost of a markov decision process and informativeness of rewards

Reference 26

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This paper cites Scanpathnet: A recurrent mixture density network for scanpath prediction.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Scanpathnet: A recurrent mixture density network for scanpath prediction

Reference 27

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This paper cites Imagenet: A large-scale hierarchical image database.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Imagenet: A large-scale hierarchical image database

Reference 28

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This paper cites Exploration-guided reward shaping for reinforcement learning under sparse rewards.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Exploration-guided reward shaping for reinforcement learning under sparse rewards

Reference 29

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Observation 7095d63c-f96b-4db0-bedd-d2c3d66af7a1 · outbound

This paper cites How does the brain solve visual object recognition? Neuron, 73(3):415–434, 2012.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging How does the brain solve visual object recognition? Neuron, 73(3):415–434, 2012

Reference 30

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This paper cites Efficient Zero-shot Visual Search via Target and Context-aware Transformer.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Efficient Zero-shot Visual Search via Target and Context-aware Transformer

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This paper cites Prioritizing selection of new elements: Bottom-up versus top-down control.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Prioritizing selection of new elements: Bottom-up versus top-down control

Reference 32

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 33

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This paper cites Searching for conjunctively defined targets.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Searching for conjunctively defined targets

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging When is it time to move to the next map? optimal foraging in guided visual search

Reference 35

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Spatial statistics and attentional dynamics in scene viewing

Reference 36

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures

Reference 37

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This paper cites The antisaccade task in a sample of 2,006 young men: I.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The antisaccade task in a sample of 2,006 young men: I

Reference 38

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Contrastive learning as goal-conditioned reinforcement learning

Reference 39

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Oat: Object-level attention transformer for gaze scanpath prediction

Reference 40

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging On the development of voluntary and reflexive components in human saccade generation

Reference 41

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Smooth pursuit eye movements of patients with schizophrenia and affective disorder during clinical treatment

Reference 42

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Decoding go/no-go decisions from eye movements

Reference 43

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This paper cites What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition

Reference 44

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This paper cites Metamers of the ventral stream.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Metamers of the ventral stream

Reference 45

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Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Eye movement monitoring as a process tracing methodology in decision making research

Reference 46

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This paper cites Value-based attention but not divisive normalization influences decisions with multiple alternatives.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Value-based attention but not divisive normalization influences decisions with multiple alternatives

Reference 47

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This paper cites Microsaccade production during saccade cancelation in a stop-signal task.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Microsaccade production during saccade cancelation in a stop-signal task

Reference 48

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This paper cites A change in perspective: The interaction of saccadic and pursuit eye movements in oculomotor control and perception.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging A change in perspective: The interaction of saccadic and pursuit eye movements in oculomotor control and perception

Reference 49

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This paper cites Reconstructing human gaze behavior from eeg using inverse reinforcement learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Reconstructing human gaze behavior from eeg using inverse reinforcement learning

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This paper cites Visual search asymmetry: Deep nets and humans share similar inherent biases.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Visual search asymmetry: Deep nets and humans share similar inherent biases

Reference 51

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This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 52

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This paper cites The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas v4, it for attention and eye movement.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The reentry hypothesis: the putative interaction of the frontal eye field, ventrolateral prefrontal cortex, and areas v4, it for attention and eye movement

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This paper cites Stabilizing deep q-learning with convnets and vision transformers under data augmentation.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Stabilizing deep q-learning with convnets and vision transformers under data augmentation

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This paper cites Hierarchical World Models as Visual Whole-Body Humanoid Controllers.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Hierarchical World Models as Visual Whole-Body Humanoid Controllers

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This paper cites Monte carlo sampling methods using markov chains and their applications.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Monte carlo sampling methods using markov chains and their applications

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This paper cites Object identification in context: the visual processing of natural scenes.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Object identification in context: the visual processing of natural scenes

Reference 57

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Observation 73145dd0-cae4-4c4c-8c44-f3a28f035ff0 · outbound

This paper cites Eliminating inhibition of return by changing salient nonspatial attributes in a complex environment.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Eliminating inhibition of return by changing salient nonspatial attributes in a complex environment

Reference 58

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Observation 4c92d825-f37b-4063-a4d3-cd55270db4ca · outbound

This paper cites Learning to reason: End-to-end module networks for visual question answering.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Learning to reason: End-to-end module networks for visual question answering

Reference 59

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Observation 30021821-ea5c-4397-9923-899d7230a230 · outbound

This paper cites A saliency-based search mechanism for overt and covert shifts of visual attention.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging A saliency-based search mechanism for overt and covert shifts of visual attention

Reference 60

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Observation 7d239ae0-f20c-4a5b-994e-f8f337ffeb73 · outbound

This paper cites Fantastic answers and where to find them: Immersive question-directed visual attention.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Fantastic answers and where to find them: Immersive question-directed visual attention

Reference 61

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Observation 6dbc610e-a8a5-4f4f-a013-5a8088c43ba0 · outbound

This paper cites Decision-related perturbations of decision-irrelevant eye movements.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Decision-related perturbations of decision-irrelevant eye movements

Reference 62

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Observation 987afeca-a3ef-4f42-95d6-b5700c876e7b · outbound

This paper cites Differentiating between models of perceptual decision making using pupil size inferred confidence.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Differentiating between models of perceptual decision making using pupil size inferred confidence

Reference 63

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Observation a7211597-64cf-4c24-b131-0bb0fb17bcf5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Adam: A Method for Stochastic Optimization

Reference 64

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Observation ec9350df-34ec-45fd-afda-370a13a0171d · outbound

This paper cites Canceling of pursuit and saccadic eye movements in humans and monkeys.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Canceling of pursuit and saccadic eye movements in humans and monkeys

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.595378Z

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Observation 8e323457-04b7-48b9-b71e-91573ff748b9 · outbound

This paper cites A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.599429Z

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Observation 2b728358-50fc-4aa6-8d68-0bdf8821e90c · outbound

This paper cites Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.603545Z

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Observation fee39547-e07b-4bfa-a903-2e22d86ae16f · outbound

This paper cites Visual fixations and the computation and comparison of value in simple choice.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Visual fixations and the computation and comparison of value in simple choice

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.607710Z

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Observation cef56adf-a531-4651-9621-374b94eb3bf2 · outbound

This paper cites The control of voluntary eye movements: new perspectives.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The control of voluntary eye movements: new perspectives

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.612398Z

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Observation 60c6a0df-5022-47de-9c8f-2fc30a83857a · outbound

This paper cites Priming in visual search: Separating the effects of target repetition, distractor repetition and role-reversal.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Priming in visual search: Separating the effects of target repetition, distractor repetition and role-reversal

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.617217Z

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Observation ce2b413a-84d8-451b-9b5d-9a4d360d70da · outbound

This paper cites Current perspectives in medical image perception.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Current perspectives in medical image perception

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.621909Z

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Observation 11f43baa-1a1b-4b36-b71d-2b3d6fc8a0ca · outbound

This paper cites The influence of reward on the speed of reinforcement learning: An analysis of shaping.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The influence of reward on the speed of reinforcement learning: An analysis of shaping

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.626499Z

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Observation f97761d2-3605-4767-8659-349bb3ae18ec · outbound

This paper cites Cqm: Curriculum reinforcement learning with a quantized world model.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Cqm: Curriculum reinforcement learning with a quantized world model

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.631111Z

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Observation 0d48ec24-c6f4-4711-81b8-ccd02f1ab859 · outbound

This paper cites Hierarchical bayesian inference in the visual cortex.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Hierarchical bayesian inference in the visual cortex

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.422497Z

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Observation bc633f43-7e72-4cbc-9cf9-59950314cd99 · outbound

This paper cites The neurology of eye movements.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The neurology of eye movements

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.402186Z

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Observation f2f28110-e456-48f7-a7da-e99f06e28d79 · outbound

This paper cites Schizophrenia spectrum disorders and eye tracking dysfunction in singleton and multiplex schizophrenia families.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Schizophrenia spectrum disorders and eye tracking dysfunction in singleton and multiplex schizophrenia families

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.384532Z

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Observation 9b50341c-ac4c-45d3-acda-adceb86c7cfb · outbound

This paper cites Global and local covert visual attention: Evidence from a bayesian hidden markov model.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Global and local covert visual attention: Evidence from a bayesian hidden markov model

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.368178Z

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Observation d4f62fd0-6e48-4912-aa95-98a092d8c3c8 · outbound

This paper cites Evidence accumulation for value computation in the prefrontal cortex during decision making.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Evidence accumulation for value computation in the prefrontal cortex during decision making

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.350864Z

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Observation b9907491-1ed8-496c-97bc-44f234e1d4fe · outbound

This paper cites Visual guidance of smooth pursuit eye movements.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Visual guidance of smooth pursuit eye movements

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.332868Z

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Observation 1a9403eb-aa68-4bcc-b9ae-2eb86281cb7a · outbound

This paper cites The impact of risk and prevalence on foraging behavior in hybrid visual search.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The impact of risk and prevalence on foraging behavior in hybrid visual search

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.314145Z

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Observation 758b956f-6a4c-4a8c-b006-738579573ac8 · outbound

This paper cites Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.669181Z

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Observation fd8626a5-bd39-44c6-823c-4a4254766ffb · outbound

This paper cites Irrelevant reward and selection histories have different influences on task-relevant attentional selection.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Irrelevant reward and selection histories have different influences on task-relevant attentional selection

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.296582Z

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Observation a5066029-d65c-4b78-91e1-39e46d954e91 · outbound

This paper cites Resource management with deep reinforcement learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Resource management with deep reinforcement learning

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.278971Z

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Observation 9e44dabc-fb56-4faf-8136-c5204483f6ff · outbound

This paper cites Feature-based attention in visual cortex.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Feature-based attention in visual cortex

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.255950Z

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Observation f34a4071-81da-4a12-bc89-01d92a01c719 · outbound

This paper cites Saccadic eye movements as an index of perceptual decision-making.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Saccadic eye movements as an index of perceptual decision-making

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.238803Z

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Observation 6566aa9e-317b-4b11-bc16-b8c25c115a8c · outbound

This paper cites There’s waldo! a normalization model of visual search predicts single-trial human fixations in an object search task.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging There’s waldo! a normalization model of visual search predicts single-trial human fixations in an object search task

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.214532Z

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Observation dc35157e-7352-484a-96da-1b245827cc59 · outbound

This paper cites The roles of the lateral intraparietal area and frontal eye field in guiding eye movements in free viewing search behavior.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging The roles of the lateral intraparietal area and frontal eye field in guiding eye movements in free viewing search behavior

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.199061Z

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Observation e4113985-546b-4a4a-b597-447838a2bf3e · outbound

This paper cites Stopping smooth pursuit.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Stopping smooth pursuit

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.182985Z

Source-reported events for the cited work

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Observation 2ffd5432-01db-438a-bda2-dd5858800faf · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Playing Atari with Deep Reinforcement Learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.711118Z

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Observation 99fea828-7ca7-4e2e-a18b-1250c1e0c188 · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Asynchronous Methods for Deep Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T21:02:52.716505Z

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Observation 78895c6d-f62c-4345-afae-9b954af3a888 · outbound

This paper cites Recurrent models of visual attention.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Recurrent models of visual attention

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.167089Z

Source-reported events for the cited work

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Observation 32cd4a8a-9a35-4ec2-8bea-4a80a1dd291b · outbound

This paper cites Human-level control through deep reinforcement learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Human-level control through deep reinforcement learning

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.151311Z

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Observation 04e8a479-2377-4030-90b7-fe21d3c2e8ae · outbound

This paper cites Gazeformer: Scalable, effective and fast prediction of goal-directed human attention.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Gazeformer: Scalable, effective and fast prediction of goal-directed human attention

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.135942Z

Source-reported events for the cited work

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Observation beec963b-dd8c-4305-a7c3-cde076ae480d · outbound

This paper cites Does attention increase the value of choice alternatives? Trends in cognitive sciences, 25(4):305–315, 2021.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Does attention increase the value of choice alternatives? Trends in cognitive sciences, 25(4):305–315, 2021

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.118291Z

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Observation ac955dab-45d8-486d-be13-fba37829c1e7 · outbound

This paper cites Saccade, search and orient–the neural control of saccadic eye movements, 2011.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Saccade, search and orient–the neural control of saccadic eye movements, 2011

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.103064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5529c32b-6944-4a59-af9c-2bf0a12052e6 · outbound

This paper cites Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.087807Z

Source-reported events for the cited work

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Observation ed176848-7d37-4b17-8fe8-b579837c13f9 · outbound

This paper cites Curriculum learning in reinforcement learning.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Curriculum learning in reinforcement learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.070788Z

Source-reported events for the cited work

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Observation 099cbf39-fff0-4c04-be4f-2c81df2fbdeb · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Curriculum learning for reinforcement learning domains: A framework and survey

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.052472Z

Source-reported events for the cited work

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Observation 3ed00bf2-b5c9-40f8-a444-bd674dc881c7 · outbound

This paper cites AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:02:53.134592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4cfcd4b-d4ea-48a4-aa43-2700c9fe4c0e · outbound

This paper cites Optimal foraging: L ´evy pattern or process? Journal of the Royal Society Interface , 5(26): 1077–1086, 2008.

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging Optimal foraging: L ´evy pattern or process? Journal of the Royal Society Interface , 5(26): 1077–1086, 2008

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:02:54.034459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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