Paper features: a neglected source of information for letter recognition.
Adult observers have surprisingly low calculation efficiencies for letter recognition (see, e.g., Pelli, Burns, Farell, & Moore-Page, 2006). Here, we examine the possibility that this is partly due to observers' neglecting paper features (e.g., the absence of ascenders and descenders in 'o'). Each of 16 observers completed 5,000 trials of a single-letter two-alternative forced-choice detection task. Using a combination of classification image analyses and Bayesian statistical analyses, we argue that between 60% and 75% of our participants indeed neglected paper features.
Department of Psychology, University of Montreal, Montreal, Canada.
Xavier
X
Morin Duchesne
Department of Psychology, University of Montreal, Montreal, Canada.
Frédéric
F
Gosselin
Department of Psychoeducation and Psychology, University of Quebec in Outaouais, Gatineau, Canada.
Daniel
D
Fiset
Department of Psychology, University of Montreal, Montreal, Canada.
Nicolas
N
Dupuis-Roy
D000328:Adult; D001499:Bayes Theorem; D002755:Choice Behavior; D002965:Classification; D006801:Humans; D010364:Pattern Recognition, Visual / Q000502:physiology*; D055815:Young Adult
Bayesian statistics; classification images; efficiency; letter recognition