Font Tuning Associated with Expertise in Letter Perception

Font tuning (FT) occurs when observers recognize a sequence of letters presented in the same font faster than in different fonts (Sanocki 1987, 1988 Journal of Experimental Psychology: Human Perception and Performance 13 267–278; 14 472–480). Here, we test the hypothesis that FT is associated with expertise with a specific writing system. We developed a systematic search task allowing the measurement of FT over a large number of letters and generalized the finding of FT from English readers viewing Roman letters to Chinese readers viewing Chinese characters. Non-Chinese readers did not show evidence of FT for Chinese characters in this search task. We also used a simpler 3-letter identification task to directly compare novice and expert readers, and to explore FT for different aspects of font such as fill, slant, and aspect ratio. We found that experts tune to aspect ratio but not to the other font changes. These findings reveal that letters are not processed visually in the same manner as shapes, and suggest an explanation for the cortical specialization obtained in the visual system for letters.

[1]  T. Sanocki Effects of font- and letter-specific experience on the perceptual processing of letters , 1992 .

[2]  J. Tanaka,et al.  Object categories and expertise: Is the basic level in the eye of the beholder? , 1991, Cognitive Psychology.

[3]  S. Goldinger,et al.  Episodic encoding of voice attributes and recognition memory for spoken words. , 1993, Journal of experimental psychology. Learning, memory, and cognition.

[4]  T Sanocki Looking for a Structural Network: Effects of Changing Size and Style on Letter Recognition , 1991, Perception.

[5]  Talma Hendler,et al.  Eccentricity Bias as an Organizing Principle for Human High-Order Object Areas , 2002, Neuron.

[6]  G C Oden,et al.  A fuzzy logical model of letter identification. , 1979, Journal of experimental psychology. Human perception and performance.

[7]  S. Goldinger Echoes of echoes? An episodic theory of lexical access. , 1998, Psychological review.

[8]  G. Keren,et al.  Recognition models of alphanumeric characters. , 1981, Perception & psychophysics.

[9]  J. Mullennix,et al.  Effects of talker variability on recall of spoken word lists. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[10]  J T Townsend,et al.  Experimental test of contemporary mathematical models of visual letter recognition. , 1982, Journal of experimental psychology. Human perception and performance.

[11]  Stephen M. Kosslyn,et al.  Pictures and names: Making the connection , 1984, Cognitive Psychology.

[12]  C. Douglas Creelman,et al.  Case of the Unknown Talker , 1957 .

[13]  James L. McClelland,et al.  An interactive activation model of context effects in letter perception: I. An account of basic findings. , 1981 .

[14]  J. Mullennix,et al.  Some effects of talker variability on spoken word recognition. , 1989, The Journal of the Acoustical Society of America.

[15]  John J. L. Morton,et al.  Interaction of information in word recognition. , 1969 .

[16]  G. M. Reicher Perceptual recognition as a function of meaninfulness of stimulus material. , 1969, Journal of experimental psychology.

[17]  M. Tarr,et al.  The Fusiform Face Area is Part of a Network that Processes Faces at the Individual Level , 2000, Journal of Cognitive Neuroscience.

[18]  M. Tarr,et al.  Unraveling mechanisms for expert object recognition: bridging brain activity and behavior. , 2002, Journal of experimental psychology. Human perception and performance.

[19]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[20]  T. Sanocki Perception : Font-Specific , Schematic Tuning , 2011 .

[21]  Isabel Gauthier,et al.  Letter processing in the visual system: Different activation patterns for single letters and strings , 2005, Cognitive, affective & behavioral neuroscience.

[22]  J. Tanaka The entry point of face recognition: evidence for face expertise. , 2001, Journal of experimental psychology. General.

[23]  D. Pisoni,et al.  Effects of stimulus variability on perception and representation of spoken words in memory , 1995, Perception & psychophysics.

[24]  T. Sanocki,et al.  Font regularity constraints on the process of letter recognition. , 1988, Journal of experimental psychology. Human perception and performance.

[25]  Denis G. Pelli,et al.  The remarkable inefficiency of word recognition , 2003, Nature.

[26]  James L. McClelland,et al.  The TRACE model of speech perception , 1986, Cognitive Psychology.

[27]  G. Humphreys,et al.  Disruption to word or letter processing? The origins of case-mixing effects. , 1997, Journal of experimental psychology. Learning, memory, and cognition.

[28]  D B Pisoni,et al.  Stimulus variability and spoken word recognition. I. Effects of variability in speaking rate and overall amplitude. , 1994, The Journal of the Acoustical Society of America.

[29]  I. Biederman Recognition-by-components: a theory of human image understanding. , 1987, Psychological review.

[30]  I. Gauthier,et al.  Expertise for cars and birds recruits brain areas involved in face recognition , 2000, Nature Neuroscience.

[31]  D. Massaro,et al.  Integration of featural information in speech perception. , 1978, Psychological review.

[32]  J. C. Johnston,et al.  Perception of Letters in Words: Seek Not and Ye Shall Find , 1974, Science.

[33]  W. K. Estes,et al.  PERCEPTUAL PROCESSING IN LETTER RECOGNITION AND READING , 1978 .

[34]  D B Pisoni,et al.  Stimulus variability and processing dependencies in speech perception , 1990, Perception & psychophysics.

[35]  H. Nusbaum,et al.  Neural Bases of Talker Normalization , 2004, Journal of Cognitive Neuroscience.

[36]  Douglas R. Hofstadter,et al.  Letter Spirit: esthetic perception and creative play in the rich microcosm of the Roman alphabet , 1995 .

[37]  Michael Studdert-Kennedy,et al.  chapter 8 – Speech Perception , 1976 .

[38]  P. Jolicoeur,et al.  Orientation congruency effects on the identification of disoriented shapes. , 1990, Journal of experimental psychology. Human perception and performance.

[39]  M. Farah,et al.  Neural Specialization for Letter Recognition , 2002, Journal of Cognitive Neuroscience.

[40]  T. Allison,et al.  Differential Sensitivity of Human Visual Cortex to Faces, Letterstrings, and Textures: A Functional Magnetic Resonance Imaging Study , 1996, The Journal of Neuroscience.

[41]  S. Carey,et al.  Why faces are and are not special: an effect of expertise. , 1986, Journal of experimental psychology. General.