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Published on: August 29, 2018
Studying visual search using systems factorial methodology with target-distractor similarity as the factor
Mario Fifić1, James T Townsend, Ami Eidels
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405-7007, USA. mfific@indiana.edu
Systems factorial technology (SFT) revealed that target-distractor similarity in visual search does not follow typical parallel or serial processing. Findings suggest positively interacting parallel channels may explain these unique cognitive processing results.
Area of Science:
- Cognitive psychology
- Perception science
- Human information processing
Background:
- Systems factorial technology (SFT) has consistently demonstrated parallel processing in visual search tasks with small displays.
- Recent studies introduced target-distractor (T-D) similarity to investigate short-term memory search, revealing serial processing.
- The dichotomy between parallel visual search and serial memory search warrants further investigation into processing mechanisms.
Purpose of the Study:
- To investigate the impact of target-distractor (T-D) similarity on processing modes in visual search.
- To determine if manipulating processing speed via T-D similarity influences the parallel versus serial processing debate in visual search.
- To explore novel processing models that account for observed deviations from standard parallel or serial models.
Main Methods:
- Utilized Systems factorial technology (SFT) methodologies.
- Employed visual search tasks with varying target-distractor (T-D) similarity.
- Analyzed response times and accuracy to infer underlying cognitive processing architecture.
Main Results:
- Observed a consistent and unexpected departure from traditional parallel or serial processing models in visual search.
- Target-distractor similarity significantly influenced the observed processing patterns.
- Data suggests that the standard parallel processing findings in visual search may be modulated by specific experimental manipulations.
Conclusions:
- The findings challenge the universality of parallel processing in visual search under all conditions.
- Positively interacting parallel channels provide a plausible explanation for the observed non-standard processing patterns.
- Further research is needed to fully elucidate the complex interplay of factors influencing cognitive processing in visual search.
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