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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Time-dependent modulation of saliency-driven visual attention in free viewing
Sangeetha Nagarajan1, Najiya Sundus K Meethal2, Ronnie George3
1Medical Research Foundation, Chennai, Tamil Nadu, India; Department of Neuroscience, Erasmus Medical Centre, Rotterdam, the Netherlands.
Visual attention during scene viewing is initially guided by salient features but becomes more individualized over time. This shift, influenced by scene content, highlights the interplay of bottom-up and top-down attention.
Area of Science:
- Visual perception research
- Cognitive neuroscience
- Human-computer interaction
Background:
- Understanding visual attention is crucial for fields like psychology and AI.
- Gaze behavior reveals how individuals process complex visual information.
- Distinguishing bottom-up (stimulus-driven) and top-down (goal-driven) attention is key.
Purpose of the Study:
- To investigate gaze behavior similarities across observers in natural scenes.
- To determine if visual saliency guides attention during free viewing.
- To clarify the roles of bottom-up and top-down influences on visual attention.
Main Methods:
- Eye-tracking was used to record gaze behavior in 45 adults viewing 10 natural scenes.
- Fixation heatmaps and gaze parameters were computed.
- Jensen-Shannon Divergence (JSD) measured heatmap similarity over time, compared against saliency maps.
Main Results:
- Initially (first 7.5s), 72% of fixations were directed towards salient regions, with high inter-observer similarity (JSD: 0.15).
- Over 15s, fixation overlap with salient regions varied (52-84%), influenced by scene crowding and social content.
- Gaze similarity decreased over time, indicating a shift towards individualized viewing patterns.
Conclusions:
- Free viewing starts with consistent, saliency-driven attention but becomes more personalized as top-down influences grow.
- Scene characteristics modulate the temporal dynamics of attention.
- This research has clinical implications for assessing visual and cognitive impairments.
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