Related Experiment Video
Updated: Dec 7, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Different temporal dynamics of object-based attentional allocation for reward and non-reward objects
Fangxing Song1,2, Sicen Zhou1,2, Yunfei Gao1,2
1School of Psychology, Shaanxi Normal University, Xi'an, China.
Attention allocation differs for reward versus non-reward objects. While non-reward items consistently guide attention, reward items like money or food only do so at shorter stimulus onset asynchrony (SOA) intervals.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Attention
Background:
- Previous research shows both reward and non-reward objects capture attention.
- The precise attentional selection mechanisms for reward objects remain unclear.
Purpose of the Study:
- To investigate and compare object-based attentional selection modes for reward and non-reward objects.
- To determine if temporal dynamics of attention differ based on object type.
Main Methods:
- Utilized a two-rectangle visual presentation paradigm.
- Conducted four experiments varying object types (reward vs. non-reward) and stimulus onset asynchrony (SOA).
Main Results:
- Non-reward objects (rectangles, umbrellas) consistently elicited object-based effects across all SOAs.
- Object-based effects for reward objects (money, food) diminished at longer SOAs.
- Monetary and food reward objects demonstrated similar attentional guidance patterns.
Conclusions:
- Temporal dynamics of object-based attentional allocation differ significantly between reward and non-reward objects.
- Reward value, not specific reward type, appears to influence attentional selection timing.
More Related Videos
08:24The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
09:27Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
Published on: January 19, 2024