Reading feels effortless for most adults, yet beneath the smooth glide of the eyes across a page lies a demanding cascade of perceptual, attentional, and oculomotor operations. A new study published in the journal Attention, Perception, & Psychophysics asks a deceptively simple question: if those underlying visual skills can be sharpened through practice, might reading itself get faster, even in people who already read normally? Researchers led by Francesco Carabba and Luca Battaglini of the University of Padova designed a home-based training program built entirely around visual search, the everyday act of scanning a cluttered scene to find a target, and deliberately stripped away every phonological, orthographic, and reading-related element. The idea was to test whether exercising the visual machinery alone could leave a measurable fingerprint on timed reading tasks in adult typical readers.
The theoretical motivation comes from the magnocellular-dorsal hypothesis of reading. This framework proposes that a neural pathway specialized for rapid temporal processing and spatial attention, the occipito-parietal “where” pathway, plays a crucial role in distributing attentional resources across text. Spatial attention supported by this system is thought to be fundamental for processing letters at different positions, converting orthographic codes into phonological ones, and accessing meaning quickly from visual input. Previous work has linked difficulties in visuo-spatial attention to reading difficulties, and studies of dyslexia have reported less stable binocular fixation and weaker control over eye muscles during reading. The magnocellular theory has faced criticism, and many researchers argue that dyslexia cannot be reduced to a single cause, but substantial evidence supports a genuine involvement of perceptual and visuo-spatial skills in reading.
The Padova team reasoned that if reading depends partly on these visual capacities, then visual perceptual learning, the well-documented phenomenon in which repeated practice on a perceptual task produces long-lasting improvement, might transfer to reading. Visual perceptual learning is a manifestation of cortical plasticity and has already yielded positive outcomes in clinical populations including hemianopia, amblyopia, and macular degeneration, as well as in dyslexic readers. Earlier training studies have exercised the magnocellular stream through coherent motion detection, direction discrimination with sine-wave gratings, and combined oculomotor and search batteries. One particularly relevant study reported that a single ten-minute session combining eye-movement exercises with visual search was followed by faster reading in French children with dyslexia, but that design could not isolate the contribution of the search component. The new study set out to do exactly that, using a single task family with no oculomotor exercises at all.
Eighty-five adult native Italian speakers took part, all classified as typical readers on the basis of self-reported history, with normal or corrected vision. Forty-two were randomly assigned to one of three training versions, fourteen per group, while forty-three served as a no-training control group who completed only the pretest and posttest. The larger control group was a deliberate methodological choice: it sharpened the estimate of the no-training trajectory, including practice effects and measurement noise, and increased statistical power for the central comparisons between each training group and the controls. Reading was assessed with a word-reading test and a nonword-reading test from the DDE-2 battery, plus a lexical decision test requiring participants to silently scan lists of sixty words and sixty nonwords and mark the nonwords. Speed and accuracy were recorded as separate dependent variables, with no error penalty applied to time scores.
The training itself revolved around Gabor patches, stimuli produced by combining a sine-wave luminance grating with a circular Gaussian envelope, presented at roughly five cycles per degree and 95 percent contrast. For nine consecutive days, participants completed seven daily blocks of 144 search displays, each containing more than a hundred Gabor stimuli and remaining on screen until a response was given or ten seconds elapsed. The three versions differed in how the target was defined. In the orientation version, the target was a single Gabor tilted orthogonally to all distractors, an easy target that pops out of the display. In the phase version, the target matched the distractors in orientation but had an inverted phase, a reversal of its black and white luminance pattern, making it highly camouflaged and forcing detailed scrutiny of individual stimuli. In the configuration version, the target was not a single patch but a circular arrangement of multiple Gabors, requiring contour integration and perceptual grouping, a choice inspired by earlier findings that reading acquisition itself enhances early contour integration and that illiterate adults struggle to group circularly arranged patches into a single percept.
The training data confirmed that the three tasks sat at genuinely different difficulty levels. Sensitivity, indexed by the signal-detection measure d-prime, improved significantly across the nine days, and response times fell, classic signatures of perceptual learning. The orientation task produced the highest d-prime values and the fastest responses, the phase task the lowest sensitivity, the slowest responses, and the most timeouts, with the configuration task falling in between. All pairwise group differences were significant after correction, and the phase group showed the steepest improvement slope in response times. Because the task included both target-present and target-absent trials, the researchers also tracked response criterion to distinguish genuine gains in discriminability from simple shifts in the willingness to report a target. Together, these measures established that any downstream differences between groups could be interpreted against a clearly characterized gradient of perceptual demand.
The critical test compared posttest reading performance across groups while statistically controlling for each participant’s pretest baseline. The results were strikingly outcome-specific. The phase group, which had endured the most perceptually demanding task, showed significantly lower adjusted posttest reading times than the no-training group on the word-reading test, corresponding to roughly four seconds faster, and on the lexical decision test, roughly nine seconds faster. The configuration group showed significantly lower adjusted posttest times on the nonword-reading test, about three and a half seconds faster, a task that relies heavily on grapheme-to-phoneme conversion. The easy orientation task produced no reliable advantage on any timed measure. Notably, no consistent training-related benefit emerged for accuracy on any test, a pattern the authors interpret cautiously given that the accuracy component of the DDE-2 has weaker test-retest reliability and that skilled adult readers commit so few errors that variability is severely restricted.
An exploratory correlation analysis added an intriguing wrinkle. If transfer to reading were driven simply by how much an individual improved at visual search, then gains in d-prime from day one to day nine should predict gains in reading speed. They did not. Correlations between individual search improvement and reading-speed change were near zero for word reading, nonword reading, and lexical decision alike. This does not undermine the group-level effects, but it signals that the mechanism of transfer is not a straightforward linear relationship between perceptual sensitivity and reading speed. The authors suggest that other factors, such as search strategy, response criterion, general visual-attentional engagement, or sheer time on task, may have contributed, and that the present design cannot adjudicate among them.
Indeed, the authors are careful to frame the study as exploratory and to enumerate its limits. The three search tasks differed not only in difficulty but also in target definition and the search strategy they likely encouraged. Under a contemporary framework distinguishing priority guidance, in which a salient target is selected from a priority map, from clump scanning, in which observers systematically inspect contiguous groups of items, the orientation task probably rewarded simple priority guidance while the phase task demanded systematic scrutiny and the configuration task engaged grouping processes. Without manipulating set size, estimating search slopes, or recording eye movements, the observed reading effects cannot be uniquely attributed to difficulty, search mode, or any specific mechanism. Training dose also varied, since the phase condition consumed roughly ninety minutes daily against thirty for orientation, a consequence of slower responses and more timeouts rather than extra trials. A sensitivity analysis based on ten thousand simulations showed the study was powered only to detect relatively large effects, and for two error measures no plausible effect could achieve adequate power at all.
Even so, the study delivers a genuinely provocative preliminary result: a training program containing no letters, no sounds, and no reading whatsoever was associated with faster performance on some timed reading-related outcomes in adults who already read normally, with the most demanding visual tasks producing the clearest transfer. The effects are modest in absolute terms and their clinical or educational significance remains unproven, particularly because the sample consisted of typical adult readers reading in Italian, a language with highly transparent orthography whose findings may not generalize to deeper orthographies. The authors argue that establishing baseline effects in the neurotypical brain is a necessary foundation before testing dyslexic populations, whose brain structures and connectivity may differ and require protocol adaptations. The next steps they propose are clear: larger samples, preregistered analyses, designs that manipulate difficulty within a single search paradigm while controlling training dose, and extension to children and readers with dyslexia. If those replications hold, the humble Gabor patch could become an unexpected tool in the science of reading enhancement.
Subject of Research: Visual search training and its effects on reading speed in adult typical readers
Article Title: Probing the use of visual search as a tool to enhance reading speed
Article References: Carabba, F., Borsati, C., Fontana, G., Altieri, E., Vicovaro, M., & Battaglini, L. (2026). Probing the use of visual search as a tool to enhance reading speed. Attention, Perception, & Psychophysics, 88(7), Article 190. https://doi.org/10.3758/s13414-026-03336-2
Image Credits: AI Generated
DOI: 10.3758/s13414-026-03336-2
Keywords: visual search, reading speed, perceptual learning, magnocellular-dorsal system, Gabor patches, dyslexia, visual attention, contour integration, psychophysics, oculomotor control, lexical decision, cortical plasticity
Cite Scienmag News
Glenn Wilkins. (September 23, 2026). A Hidden Vision Workout May Speed Up How Fast Adults Read. Scienmag. https://scienmag.com/a-hidden-vision-workout-may-speed-up-how-fast-adults-read/
Glenn Wilkins. "A Hidden Vision Workout May Speed Up How Fast Adults Read." Scienmag, 23 September 2026, https://scienmag.com/a-hidden-vision-workout-may-speed-up-how-fast-adults-read/. Accessed 23 September 2026.
Glenn Wilkins. "A Hidden Vision Workout May Speed Up How Fast Adults Read." Scienmag. September 23, 2026. https://scienmag.com/a-hidden-vision-workout-may-speed-up-how-fast-adults-read/

