Related Experiment Video
Updated: Jun 14, 2026

05:58
Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
Published on: August 29, 2018
Display probability modulates attentional capture by onset distractors.
Bilge Sayim1, Anna Grubert, Michael H Herzog
1Laboratory of Psychophysics, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. bilge.sayim@epfl.ch
Journal of Vision
|April 10, 2010
Summary
Bottom-up attention, while often considered automatic, can be modulated. Statistical learning, influenced by distractor probabilities, affects attentional capture, showing these processes are not fully automatic.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Attention is categorized as stimulus-driven (bottom-up) or goal-driven (top-down).
- Bottom-up attentional capture by salient distractors is often viewed as automatic and non-modifiable.
- Previous research indicates some modulation by distractor probabilities, but used color distractors, which may not strongly elicit bottom-up attention.
Purpose of the Study:
- To investigate whether onset distractors, which strongly elicit bottom-up attention, are also subject to modulation.
- To determine if statistical learning, based on distractor display probabilities, influences attentional capture by onset distractors.
- To provide further evidence against the complete automaticity of bottom-up attention.
Main Methods:
- Participants performed a visual search task.
- Onset distractors were presented, appearing after other search items.
- The display probabilities of these onset distractors were systematically varied.
Main Results:
- Attentional capture by onset distractors was significantly modulated by their display probabilities.
- This modulation suggests that bottom-up attention is not entirely automatic.
- The findings support the role of statistical learning in modulating attentional capture.
Conclusions:
- Bottom-up attentional processes, even those strongly eliciting attention like onset distractors, are not completely automatic.
- Statistical learning, driven by experience with distractor probabilities, plays a role in modulating attentional capture.
- This research challenges the notion of purely automatic bottom-up attention and highlights its flexibility.

