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Conditions for positive and negative recencies in running memory-span recognition.
1Universidad Nacional de Educación a Distancia, Madrid, Spain.
Acta Psychologica
|August 8, 2013
Summary
Recency effects in memory tasks depend on how information is processed. Cueing the start of a memory set eliminated recency, while uncertain list lengths caused negative recency, suggesting attentional resource sharing.
Area of Science:
- Cognitive Psychology
- Human Memory
- Attention Studies
Background:
- Recency effects, where recent items are better recalled, are a key feature of human memory.
- Existing models struggle to explain recency effects in continuous memory tasks like running recall.
- The role of attentional resource allocation in modulating recency effects requires further investigation.
Purpose of the Study:
- To investigate the conditions under which positive and negative recency effects manifest in recognition memory.
- To test the hypothesis that attentional resource sharing influences recency effects in memory tasks.
- To differentiate between running span recognition and running recall procedures regarding recency effects.
Main Methods:
- Four experiments were conducted using running-span and running recall procedures.
- Varying memory set sizes and presentation cues were employed.
- Participants performed recognition tasks after viewing sequences of items.
- Response times and accuracy were recorded to assess memory performance.
Main Results:
- A positive recency effect was observed in a standard running-span recognition task.
- Eliminating the start cue in Experiment 2 abolished recency effects.
- Forced maintenance of memory items with uncertain list lengths in Experiments 3 and 4 produced a negative recency effect.
Conclusions:
- Recency effects are sensitive to experimental manipulations that alter memory updating and attentional focus.
- The shift from positive to negative recency suggests a role for shared attentional resources when memory load is high and uncertain.
- Findings support attentional resource models for explaining dynamic changes in memory performance within continuous tasks.
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