Redundancy masking: The loss of repeated items in crowded peripheral vision [DATASET]

Yildirim, Fazilet Zeynep; Coates, Daniel Robert; Sayim, Bilge (2020). Redundancy masking: The loss of repeated items in crowded peripheral vision [DATASET] [Dataset]. In: Redundancy masking: The loss of repeated items in crowded peripheral vision [DATASET]. Journal of Vision

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Crowding is the deterioration of target identification in the presence of neighboring objects. Recent studies using appearance-based methods showed that the perceived number of target elements is often diminished in crowding. Here, we introduce a related type of diminishment in repeating patterns (sets of parallel lines), which we term ‘redundancy masking’. In four experiments, observers were presented with arrays of small numbers of lines centered at 10º eccentricity. The task was to indicate the number of lines. In Experiment 1, spatial characteristics of redundancy masking were examined by varying the inter-line spacing. We found that redundancy masking decreased with increasing inter-line spacing, and ceased at spacings of about 0.25 times the eccentricity. In Experiment 2, we assessed whether the strength of redundancy masking differed between radial and tangential arrangements of elements as it does in crowding. Redundancy masking was strong with radially arranged lines (horizontally arranged vertical lines), and absent with tangentially arranged lines (vertically arranged horizontal lines). In Experiment 3, we investigated whether target size (line width and length) modulated redundancy masking. There was an effect of width: Thinner lines yielded stronger redundancy masking. We did not find any differences between the tested line lengths. In Experiment 4, we varied the regularity of the line arrays by vertically or horizontally jittering the positions of the lines. Redundancy masking was strongest with regular spacings and weakened with decreasing regularity. Our experiments show under which conditions whole items are lost in crowded displays, and how this redundancy masking resembles – and partly diverges from – crowded identification. We suggest that redundancy masking is a contributor to the deterioration of performance in crowded displays with redundant patterns.

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