Abstract
The perceptual span or region of effective vision during eye fixations in reading was examined as a function of reading speed (fast readers were compared to slow readers), font characteristics (fixed width vs. proportional width), and intra-word spacing (normal or reduced). The main findings were that fast readers (reading at about 330 wpm) had a larger perceptual span than slow readers (reading about 200 wpm) and the span was not affected by whether or not the text was fixed-width or proportional-width. Additionally, there were interesting font and intra-word spacing effects that have important implications for the optimal use of space in a line of text.
One of the most robust findings in research on the process of reading is that the region from which readers obtain useful information (i.e., the perceptual span) is rather limited. That is, the perceptual span for skilled readers of alphabetic writing systems consists of 3-4 letters to the left of fixation (or the beginning of the currently fixated word) and 14-15 letter spaces to the right of fixation (see Rayner, 1998, 2009 for reviews). Evidence for this comes from studies utilizing the gaze-contingent moving window paradigm developed by McConkie and Rayner (1975; see also Rayner & Bertera, 1979) in which the amount of information available to the reader is controlled on each eye fixation. That the asymmetry of the span is a function of attention is evident from the finding that it is reversed for readers of Hebrew (Pollatsek, Bolozky, Well, & Rayner, 1981) who obtain more information from the left of fixation than to the right. It is also clear that the span is not simply the result of acuity limitations as Miellet, O'Donnell, and Sereno (2009) demonstrated that the span to the right of fixation remained 14-15 letter spaces when they used a parafoveal magnification technique in which letters on each fixation became increasingly larger further from fixation (to offset acuity limitations).
Quite surprisingly, despite a considerable amount of research using the gaze-contingent moving window, an important issue remains largely unresolved. Specifically, does the size of the perceptual span vary as a function of reading speed? Do fast readers have a larger perceptual span than slow readers? Jackson and McClelland (1975) concluded that the area from which a reader can obtain useful visual information was approximately the same for fast and slow readers. A number of other studies likewise concluded that low-level perceptual processing (in terms of how far from fixation letter information can be obtained) does not differentiate slow and fast readers (see Rayner & Pollatsek, 1989 for an overview). But, these studies did not use the moving window paradigm.
Furthermore, research using the moving window paradigm does not provide a consistent picture with respect to the question. For example, Underwood and Zola (1986) used a variation of the moving window paradigm (in which on selected fixations, letters in the display were replaced by other letters) to investigate the span of letter recognition1 for good and poor readers. They found that both good and poor fifth grade readers acquire letter information from a region extending from 2 letters to the left of fixation to about 6-7 letters to the right. Not surprisingly (see Rayner, 1998), the poor readers had longer fixations overall than the good readers, but the disruption caused by the letter replacement was similar for the two groups. On the other hand, in rather direct contrast to Underwood and Zola, using a similar manipulation Häikiö, Bertram, Hyönä, and Neimi (2009) found that the span of letter identity was smaller for slower readers than fast readers. Other research using the moving window paradigm has found that beginning readers (Häikiö et al., 2009; Rayner, 1986), dyslexic readers (Rayner, Murphy, Henderson, & Pollatsek, 1989), and older readers (Rayner, Castelhano, & Yang, 2009) have smaller perceptual spans than college age readers. But, slow readers are not beginning readers, dyslexic readers, or older readers. They are skilled readers who read with perfectly normal comprehension, but at a slower rate than some of their peers.
Based on prior work, it seemed quite possible that in a moving window study with fast and slow readers, there could either be (1) no difference between the two groups in terms of when reading performance would reach asymptote as a function of window size or (2) a difference wherein slow readers would reach asymptote with smaller windows than fast readers. The first prediction would be consistent with the position that fast and slow readers extract useful information from the same area of text during each fixation but that slower readers require more time to do so. The second prediction would be consistent with the view that slower readers require more resources to encode and process the fixated word leading to diminished resources for the processing of parafoveal information. The first prediction would yield a main effect of reading speed, but no interaction with window size, whereas the second prediction would yield an interaction between reading speed and window size.
A secondary issue we addressed was whether font/typographical properties have an effect on the size of the perceptual span. In most research on eye movements during reading, and prior research using the moving window paradigm, a fixed width font such as Courier New has been used. There are numerous advantages to using such fonts. First, since every letter has the same width in these fonts, controlling the number of letters in a word or region also controls for the size of the region in terms of visual angle. Second, it is trivial to construct masks for words that can be used in gaze-contingent display change experiments, such as the moving window and/or boundary change (Rayner, 1975) paradigms, since any letter can be used to mask any other. This is not true for proportional width fonts since many letters will not have a suitable masking letter (a letter with the same number of horizontal pixels). Thus, prior display change studies have been conducted only with fixed width fonts in order to avoid these problems2. However, readers do not typically read text with fixed width fonts, but rather with proportional width fonts. In the current study, we examined the perceptual span using both fixed (Consolas) and proportional (Georgia) width fonts to determine if the span is larger for the Georgia font since readers are more familiar with proportional width fonts. For the proportional width font we implemented the moving window paradigm by creating a unique mask for every word in which the intra-letter spacing of the mask was adjusted such that the mask would have the same number of horizontal pixels as the target word. This allowed us to use the same masking letters with both fonts.
Finally, we explored what factors influence the optimal use of the space within a line for a given amount of text. More specifically, when holding the number of letters on a line and the horizontal size of the line constant, what is the best way to use the available space? We investigated this by manipulating whether or not the spacing between letters within a word was normal or reduced by 10%. Note that by removing space between the letters within a word while holding the number of words and the size of the line constant we necessarily had to add space between the words in this condition. Therefore, the space that was removed between the letters within a word was added to the space after the word such that the first character of the next word always started at the same location regardless of spacing condition (see Figure 1). This procedure had the added benefit that, across these two spacing conditions, parafoveal processing of the upcoming words in the reduced letter spacing condition wouldn't be confounded with the distance between the beginnings of words. Decreasing the space between letters might slow down reading due to difficulties associated with encoding the fixated word. This in turn may result in decreased processing of parafoveal information which would be evident in the current experiment. However, it also seemed possible that decreasing letter spacing may increase reading speed due to the resulting additional space between words which may assist with word demarcation and oculomotor programming of saccades.
Figure 1.

Example of stimulus sentences without a window and with a two word window. The asterisk represents a fixation point in the bottom two examples.
Method
Subjects
Thirty-two undergraduate students at the University of California, San Diego participated for course credit. They either had normal uncorrected vision or corrected to normal vision and they were all naïve concerning the purpose of the experiment. They were divided into two groups on the basis of their reading speed: fast readers (reading over 258 wpm, with an average reading rate of 337 wpm with normally spaced fonts) and slow readers (reading less than 258 wpm, with an average reading rate of 207 wpm with normally spaced fonts).
Apparatus
Eye-movements were recorded via an SR Research Ltd. Eyelink 1000 eye-tracker, with spatial resolution of less than 0.04°, which recorded the position of the reader's eye every half millisecond. Subjects were seated 60 cm away from a 21 inch SONY Trinitron GDM-C520K CRT monitor (with a refresh rate of 120 Hz) on which the stimuli were presented. Head movements were minimized with chin and head rests. Although viewing was binocular, eye movements were recorded from the right eye.
Design and Procedure
There were four different window conditions: one word (1W, the currently fixated word was visible), two words (2W, the fixated word and the word to the right were both visible), three words (3W, the fixated word and two words to the right were visible). For all of these conditions, the word immediately to the left of fixation was also visible. There was also a full line or no window (NW) control condition in which all words were visible. Letters outside of the window were replaced by a unique mask for every word in which the intra-letter spacing of the mask was adjusted such that the mask had the same number of horizontal pixels as the target word. This allowed us to use the same masking letters with both fonts. The sentences appeared in either Consolas or Georgia font with either normal letter spacing or 10% reduction. An example sentence in each font and spacing condition is presented in Figure 1.
At the start of the experiment, subjects completed a calibration procedure by fixating on three points randomly presented across the horizontal midline of the video monitor. At the start of each trial, a black square (15 pixels wide) appeared on the left side of the monitor. The left edge of this square coincided with the left side of the first letter in the upcoming sentence. The sentence replaced this square on the screen once a stable fixation was detected. Sentences were presented as black letters on a white background in either 12-point Consolas or Georgia font. The Consolas font yielded 3.1 letters per degree of visual angle in the normal spacing conditions and 3.4 letters in the reduced letter spacing condition, and the Georgia font yielded 3.4 and 3.7 letters per degree, respectively. Subjects were instructed to read silently for comprehension and to press a button on a keypad when they finished reading. A Latin square counterbalancing procedure insured than an equal number of items was seen in each condition by every subject, and across all the subjects each item was seen an equal number of times in each condition. Order of presentation was randomized for each subject. The first eight trials were practice to get the subjects accustomed to the procedure. Comprehension questions were asked after 39% of trials. The two groups did not differ as the slow and fast readers scored 89% and 88% correct, respectively, t < 1.
Materials
Following the practice sentences, subjects read 160 experimental sentences (10 in each of the 16 experimental conditions). On average these sentences contained 11.1 words and were 60.8 letters long (including inter-word spaces). The average length of a word was 4.6 letters. The average size of the rightward window (including inter-word spaces) was 5.6, 10.2, and 14.9 letter spaces in the 1W window, 2W window, and 3W windows, respectively.
Results
Fixations shorter than 80 ms, which were within 1 letter of another fixation, were combined with that fixation (0.2% of fixations); all other fixations less than 80 ms were eliminated (2.4% of fixations). Trials in which there was more than one blink during reading were removed prior to analysis (2.1% of trials) as were trials in which the reading speed (WPM) was 3 SD above or below the subjects’ mean for a given window size (0.8% of trials). Trial exclusion affected all conditions similarly (F < 1).
The most diagnostic measure in analyzing data from moving window experiments is the reading rate (wpm) as a function of window size. We will first report those data (see Figure 2) followed by analyses of (1) average fixation duration, (2) number of forward fixations, (3) number of regressive fixations, and (4) average forward saccade length3. For each of these variables, separate 2 (Reading group: Fast or slow) X 4 (Window size: 1W, 2W, 3W, or NW) X 2 (Font: Consolas or Georgia) X 2 (Spacing: Normal or reduced) ANOVAs were conducted. Table 1 shows the data from all conditions for these variables. For most of these analyses the group variable was significant, but this is not surprising given that subjects were identified with the two groups as a function of their reading speed in the NW condition. What is more interesting is the extent to which there were interactions of group with other variables.
Figure 2.

Reading rate (words per minute) as a function of window size and spacing for the fast and slow readers. Error bars indicate the standard errors of the means.
Table 1.
Means for various eye movement measures (with standard errors).
| Font | Consolas | Georgia | |||||||
|---|---|---|---|---|---|---|---|---|---|
| |
|||||||||
| Window | 1 | 2 | 3 | NW | 1 | 2 | 3 | NW | |
| Slower Readers | |||||||||
| MFD | Normal | 253 (8.2) | 242 (5.8) | 242 (7.5) | 236 (6.0) | 266 (7.8) | 254 (6.9) | 257 (7.1) | 255 (6.7) |
| |
|||||||||
| Reduced | 255 (7.6) | 238 (6.6) | 236 (6.1) | 237 (7.2) | 264 (8.6) | 250 (6.8) | 246 (5.9) | 241 (6.0) | |
| | |||||||||
| #FF | Normal | 14.2 (.49) | 12.5 (.40) | 12.2 (.36) | 11.9 (.52) | 13.8 (.44) | 12.1 (.38) | 11.4 (.40) | 10.8 (.31) |
| |
|||||||||
| Reduced | 13.8 (.63) | 12.1 (.37) | 11.6 (.35) | 11.6 (.35) | 13.4 (.52) | 11.4 (.39) | 11.1 (.37) | 10.7 (.34) | |
| | |||||||||
| #RF | Normal | 3.7 (.36) | 3.0 (.31) | 2.9 (.23) | 2.8 (.33) | 3.6 (.35) | 3.3 (.28) | 2.8 (.25) | 2.4 (.23) |
| |
|||||||||
| Reduced | 3.9 (.32) | 2.9 (.22) | 3.0 (.27) | 2.9 (.24) | 3.6 (.30) | 2.9 (.29) | 2.9 (.28) | 2.8 (.25) | |
| | |||||||||
| FSL | Normal | 6.2 (.37) | 7.0 (.34) | 7.0 (.36) | 7.0 (.34) | 6.5 (.34) | 7.4 (.38) | 7.6 (.43) | 7.6 (.39) |
| |
|||||||||
| Reduced | 6.4 (.35) | 6.9 (.42) | 7.3 (.37) | 7.1 (.31) | 6.8 (.37) | 7.5 (.38) | 7.6 (.39) | 7.8 (.34) | |
|
Faster Readers | |||||||||
| MFD | Normal | 231 (8.2) | 214 (5.8) | 210 (7.5) | 205 (6.0) | 244 (7.8) | 229 (6.9) | 226 (7.1) | 216 (6.7) |
| |
|||||||||
| Reduced | 224 (7.6) | 212 (6.6) | 210 (6.1) | 208 (7.2) | 237 (8.6) | 223 (6.8) | 221 (5.9) | 213 (6.0) | |
| | |||||||||
| #FF | Normal | 11.3 (.49) | 9.7 (.40) | 9.3 (.36) | 8.9 (.52) | 10.6 (.44) | 9.0 (.38) | 8.6 (.40) | 8.4 (.31) |
| |
|||||||||
| Reduced | 10.9 (.63) | 9.3 (.37) | 9.2 (.36) | 8.9 (.35) | 10.4 (.52) | 9.2 (.39) | 8.5 (.37) | 8.6 (.34) | |
| | |||||||||
| #RF | Normal | 2.6 (.28) | 2.1 (.31) | 1.9 (.23) | 1.4 (.33) | 2.2 (.35) | 1.7 (.28) | 1.6 (.25) | 1.3 (.23) |
| |
|||||||||
| Reduced | 2.5 (.32) | 1.9 (.22) | 1.9 (.27) | 1.7 (.24) | 2.2 (.30) | 2.0 (.29) | 1.8 (.28) | 1.8 (.25) | |
| | |||||||||
| FSL | Normal | 7.4 (.48) | 8.2 (.44) | 8.7 (.46) | 8.7 (.43) | 7.8 (.42) | 8.8 (.47) | 9.4 (.55) | 9.3 (.51) |
| |
|||||||||
| Reduced | 7.6 (.46) | 8.5 (.57) | 8.9 (.47) | 8.8 (.40) | 8.1 (.46) | 9.2 (.48) | 9.5 (.49) | 9.6 (.46) | |
Note: MFD = mean fixation duration (in milliseconds), #FF = number of forward fixations, #RF = number of regressive fixations, FSL = mean forward saccade length in number of letter spaces.
Reading rate
In addition to the obvious main effect of group, F(1, 30) = 44.65, p < .0001, ηp2 = .60, there were also main effects of spacing, F(1, 30) = 4.43, p < .04, ηp2 = .13, with reduced spacing yielding faster reading rates than normal spacing, and window size, F(3, 90) = 110.23, p < .0001, ηp2 = .79. More interestingly, there was an interaction of Group x Window size, F(3, 90) = 12.37, p < .0001, ηp2 = .29, which is apparent in Figure 2 and is such that the slow readers reached asymptote in reading rate early (with a window size of 2W), while the fast readers continued to improve as window size increased. Post-hoc t-tests revealed that for the slow readers, the 1W window differed from the 2W window (p< .01), but the 2W, 3W, and NW conditions did not differ from each other (ps >.10). For the fast readers, all window sizes were significantly different from each other (ps<.05). There was no significant effect of font, nor were there interactions associated with either font or spacing.
Fixation Duration
There was a main effect of group, F(1, 30) = 9.52, p < .04, ηp2 = .24, with slow readers having longer fixations than fast readers, and a main effect of window size, F(3, 90) = 38.52, p < .0001, ηp2 = .56. However, there were also main effects of font, F(1, 30) = 213.66, p < .0001, η2p = .87, with Georgia yielding longer fixations than Consolas, and of spacing, F(1, 30) = 27.59, p < .0001, ηp2 = .48, with reduced spacing actually leading to shorter fixations than normal spacing. Also, there was a Font x Spacing interaction, F(1, 30) = 11.32, p < .002, ηp2 = .27, with readers of Georgia benefiting more from reduced spacing. Finally, there was an interaction of Group X Spacing x Window size, F(3, 90) = 3.69, p < .015, ηp2 = .11, which was due to a particularly flat slope across the window size conditions for the slow readers with normal spacing.
Number of Forward Fixations
There were main effects of group, F(1, 30) = 29.25, p < .0001, ηp2 = .49, with slow readers having more fixations than fast readers, and of window size, F(3, 90) = 81.59, p < .0001, ηp2 = .73. There was also a main effect of font, F(1, 30) = 62.04, p < .0001, ηp2 = .67, with Consolas yielding more fixations than Georgia. It is noteworthy that this effect is just the opposite of what we found in fixation durations. There was also a main effect of spacing, F(1, 30) = 14.80, p < .001, ηp2 = .33, with fewer fixations for reduced spacing. Finally, there was an interaction of Group x Spacing, F(1, 30) = 6.99, p < .01, ηp2 = .19, with the benefit for reduced spacing being larger for the slow readers.
Number of Regressive Fixations
There were main effects of group, F(1, 30) = 13.25, p < .001, ηp2 = .31, with slow readers having more regressive fixations than fast readers, window size, F(3, 90) = 25.78, p < .0001, ηp2 = .46, and font, F(1, 30) = 4.29, p < .047, ηp2 = .13, with Consolas yielding more regressions. There was also a marginally significant main effect of spacing with more regressions for reduced spacing, F(1, 30) = 3.39, p < .076, ηp2 = .10.
Saccade Length
There was a main effect of group, F(1, 30) = 9.47, p < .004, ηp2 = .24, with slow readers making shorter saccades than fast readers. There were also main effects of font, F(1, 30) = 110.81, p < .0001, ηp2 = .78, with Consolas yielding shorter saccades than Georgia, and of spacing, F(1, 30) = 15.98, p < .0001, ηp2 = .35, with shorter saccades when reading with normal spacing. There was also a main effect of window size, F(3, 90) = 82.49, p < .0001, ηp2 = .73. Finally, the Group x Window size interaction was also significant, F(3, 90) = 9.70, p < .004, ηp2 = .24. Post-hoc t-tests revealed that for the slow readers, the 1W window differed from the 2W window (p< .01), but the 2W, 3W, and NW conditions did not differ from each other (ps >.10), indicating again that the slow readers asymptoted with a two word window. For the fast readers, the 1W condition differed from the 2W condition (p< .01) and the 2W condition differed from 3W condition (p<.01), but the 3W window did not differ from the NW condition (p> .10), indicating that fast readers, contrary to the slow readers, reached asymptote with a 3W window.
General Discussion
A number of interesting findings emerged from the present study. First, slow readers had a smaller perceptual span than fast readers. As we noted at the outset, whether or not there are differences in the perceptual span between fast and slow readers in the moving window paradigm was not apparent, though our results are consistent with findings reported by Häikiö et al. (2009) on the size of the letter identity span. Given that it is fairly well-established that fast and slow readers do not differ in their ability to identify words/letters presented at different distances from fixation (Jackson & McClelland, 1975; see Rayner & Pollatsek, 1989 for review), the best explanation for this result is that slow readers use more processing resources to encode and understand the fixated word than fast readers. This explanation is also consistent with the finding that young children (Häikiö et al., 2009; Rayner, 1986), dyslexic readers (Rayner et al., 1989), and older readers (Rayner et al., 2009) all have smaller perceptual spans than skilled college aged readers. In all of these cases, the difference has been attributed to difficulty processing the fixated word leading to less processing of information to the right of fixation.
It is interesting to note that in terms of reading rate (but not saccade size), fast readers did not reach asymptotic performance with the 3W window. As we noted earlier, a 3W window corresponded to an average of 14.9 letter spaces available to the right of fixation. Thus, according to prior research (Rayner, Pollatsek, Well, & Bertera, 1982) a 3W window should in principle be large enough that all useful information can be obtained. However, it is important to keep in mind that 14.9 letter spaces is an average, and depending on the length of words to the right of fixation, the window (in terms of number of letters) could be as small as 8-11 letter spaces. Thus, on some fixations, a 3W window would not be large enough for fast readers to process the text normally, but would be large enough for slow readers. This accounts for why the fast readers still showed improvement in reading rate for the NW condition compared to the 3W condition.
Second, the size of the perceptual span did not differ between a fixed-width and a proportional spacing font. This result validates prior research using the moving window paradigm that has used only fixed-width fonts. Additionally, the type of font did not influence reading rate, but there was an interesting tradeoff between fixation duration and number of fixations. Specifically, the Consolas (fixed-width) font yielded more forward fixations than the Georgia (proportional) font, but fixation durations were shorter for the Consolas font than the Georgia font leading to no overall difference in reading rate. A likely reason for these tradeoffs is that Consolas letters are wider than those in Georgia font. This may make the encoding of the foveal letters more efficient (due to their larger size) but would allow fewer letters to be located within the fovea at any given time thereby requiring more fixations for complete encoding. This notion is supported by the size of forward saccades which traversed fewer letters with the wider Consolas font. However, if forward saccade length is measured in visual angle instead of number of letter spaces, the difference between the two fonts is negligible (2.33 and 2.30 deg, respectively). Therefore, while the eyes were moving a similar absolute distance in both fonts, this indicates that more letters were processed with each fixation in the smaller proportional width Georgia font.
Finally, there was an interesting effect of spacing in which reduced letter spacing (intra-word spacing) actually led to faster reading rates (as well as shorter and fewer forward fixations) than the normal spacing condition. We suspect that this effect is due to the combination of intra-word and inter-word spacing (spacing between words) with much of the benefit being due to increased inter-word spacing. That is, it may be the case that reducing the spacing between letters within a word actually hinders word identification to some extent due to increased lateral masking of the word interior letters, but if so, this effect is outweighed by benefits to reading from the inclusion of additional space between words which decreases lateral masking of exterior word letters and provides for superior boundary demarcation. Such benefits from additional inter-word spacing have been reported in previous studies (Drieghe, Brysbasert, & Desmet, 2005; cf., Paterson & Jordan, 2010) and may be due to improved targeting of saccades to optimal locations.
An interesting question with regards to text layout is how to make optimal use of the space available. There are two important results from the current study which indicate that words can be identified without much, if any, disruption when they occupy a smaller visual angle. First, there were no significant differences in reading rate between the Georgia and Consolas fonts despite the fact that the letters in the Georgia font take up less horizontal space than those of Consolas. Second, for both fonts there was an increase in reading rate when spacing between letters was reduced by 10% so long as this space was added between words. The results of the present research are also consistent with other recent research demonstrating either subtle, but significant effects (Slattery & Rayner, 2010), or large effects of font (Rayner, Reichle, Stroud, Williams, & Pollatsek, 2006) depending on how difficult the fonts are to process.
Acknowledgments
The research reported here was supported by a grant from the Microsoft Corporation to the first and second authors. Preparation of the paper was further supported by grant HD26765 from the National Institute of Health and the Atkinson Research Fund. The third author was supported by a Fellowship from the Fonds québécois de la recherche sur la société et la culture. We thank Simon Liversedge, Cathleen Moore, and an anonymous reviewer for helpful comments on an earlier draft. Correspondence should be sent to Keith Rayner (krayner@ucsd.edu).
Footnotes
The letter recognition span (or word identity span) differs from the perceptual span in that the former refers to the area from which readers obtain specific letter information whereas the perceptual span includes not only specific letter information but also more gross information about letter features and spacing between words.
Fixed width fonts have traditionally been used in moving window experiments because if they are not, letters appear to jump around with each display change.
Average fixation durations for forward fixations and for regressive fixations were also analyzed, but will not be discussed as they yielded no additional useful information.
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