Emergent features break the rules of crowding. - Université de Lille Accéder directement au contenu
Article Dans Une Revue Scientific Reports Année : 2020

Emergent features break the rules of crowding.

Résumé

Crowding is the deleterious influence of surrounding objects (flankers) on target identification. A central rule of crowding is that it is stronger when the target and the flankers are similar. Here, we show in three experiments how emergent features break this rule. Observers identified targets with various emergent features consisting of a pair of adjacent chevrons either pointing in opposite ('Diamonds' and 'Xs'), or the same (both up or down) directions. Targets were flanked by Diamonds or Xs, resulting in conditions with different levels of target-flanker similarity. Despite high target-flanker similarity, Diamonds were identified better than Xs when flanked by Diamonds. Participants' judgments of target conspicuity, however, showed that Diamonds were not perceived to stand out more strongly from X than Diamond flankers. Next, we asked observers to indicate whether all presented items were identical. We found superior performance with all Diamonds compared to all Xs, indicating that display uniformity judgments benefitted from the emergent features of Diamonds. Our results showed that emergent features and the information content of the entire display strongly modulated crowding. We suggest that conventional crowding rules only hold when target and flankers are artificially constrained to be mutually independent.
Fichier principal
Vignette du fichier
Melnik 2020 SciRep.pdf (1.33 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03094982 , version 1 (04-01-2021)

Licence

Paternité

Identifiants

  • HAL Id : hal-03094982 , version 1
  • PUBMED : 31941984

Citer

Natalia Melnik, Daniel R Coates, Bilge Sayim. Emergent features break the rules of crowding.. Scientific Reports, 2020, Scientific Reports, 10, pp.406. ⟨hal-03094982⟩
18 Consultations
34 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More