Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights
<|reference_start|>Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights: This study examines the role of visual highlights in guiding user attention in drone monitoring tasks, employing a simulated interface for observation. The experiment results show that such highlights can significantly expedite the visual attention on the corresponding area. Based on this observation, we leverage both the temporal and spatial information in the highlight to develop a new saliency model: the highlight-informed saliency model (HISM), to infer the visual attention change in the highlight condition. Our findings show the effectiveness of visual highlights in enhancing user attention and demonstrate the potential of incorporating these cues into saliency prediction models.<|reference_end|>
@article{wu2024enhancing,
    title={Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual
  Highlights},
    author={Zekun Wu and Anna Maria Feit},
    journal={arXiv preprint arXiv:2405.09695},
    year={2024},
    doi={10.1145/3649902.3655652},
    archivePrefix={arXiv},
    eprint={2405.09695},
    primaryClass={cs.HC cs.CV}
}