“…Moving beyond two features might have a more severe impact that is easier to detect experimentally even with large changes. This interpretation is consistent with the extant literature: The null effect of one versus two features per object has been replicated several times in experiments using large changes (Delvenne & Bruyer, 2004;Olson & Jiang, 2002;Riggs, Simpson, & Potts, 2011), although other experiments using equally large changes showed worse performance with two features than with one feature per object (Cowan, Blume, & Saults, 2012;Johnson, Hollingworth, & Luck, 2008; C. C. Morey & Bieler, 2012;Wheeler & Treisman, 2002;Wilson, Adamo, Barense, & Ferber, 2012). The effect of one versus two features appears to be fickle, suggesting that the effect is small on average, and probably modulated by as yet unidentified experimental details.…”