Target Features Affect Visual Search, A Study of Eye Fixations

@article{Samiei2022TargetFA,
  title={Target Features Affect Visual Search, A Study of Eye Fixations},
  author={Manoosh Samiei and James J. Clark},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.13771}
}
Visual Search is referred to the task of finding a target object among a set of distracting objects in a visual display. In this paper, based on an independent analysis of the COCO-Search18 dataset, we investigate how the performance of human participants during visual search is affected by different parameters such as the size and eccentricity of the target object. We also study the correlation between the error rate of participants and search performance. Our studies show that a bigger and… 

Figures from this paper

References

SHOWING 1-3 OF 3 REFERENCES

Eye tracking for visual marketing

We provide the theory of visual attention and eye-movements that serves as a basis for evaluating eye-tracking research and for discussing salient and emerging issues in visual marketing. Motivated

COCO-Search18 fixation dataset for predicting goal-directed attention control

COCO-Search18 is introduced, the first dataset of laboratory-quality goal-directed behavior large enough to train deep-network models and benchmark it using three machine-learning methods: a ResNet50 object detector, a Res net50 trained on fixation-density maps, and an inverse-reinforcement-learning model trained on behavioral search scanpaths.

Wedel suggests that "a larger number of facings, and top and/or central placement of products on the shelves increases attention to and consideration of the brand