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The Research

Our unique assessment method has been developed following over 30 years of scientific research, looking at how eye movements can offer a new insight into reading as a complex cognitive and linguistic processes, instead of a simple percentile or score.

Lexplore’s method is based upon data from the Kronoberg project; an entirely unique longitudinal study of reading and writing, which began almost 30 years ago at the Karolinska Institute in Stockholm, provider of the annual Nobel Prize in Medicine and Physiology. As part of the project, eye movement recordings were taken for hundreds of students, both with and without reading difficulties. Their academic and reading progress was then followed from Year 3 to adulthood.

By analysing eye movement patterns from this study, combined with additional research from the Dyslexia Project in the Swedish municipalities of Järfälla and Trosa, our researchers and founders Gustaf Öqvist Seimyr and Mattias Nilsson Benfatto were able to show that the statistical models they had developed could accurately predict which students would experience difficulties after as little as 30 seconds of reading. The cumulative results from their work were published in  PLoS One (Benfatto et al., 2016).

Current reading assessments are simply not good enough. When we look at a standard test score in isolation, it tells us a child can’t read. It doesn’t tell us why that child can’t read. Lexplore gives us much more than a simple score or percentile.

Bernadette Mclean – Former Principal of The Helen Arkell Dyslexia Centre, UK

For a student with a high reading level (below left), their eyes generally move through a passage of text with short, quick movements. Whereas, for a student who struggles (below right), their eyes tend to move much slower and they may fixate upon individual words, or regress. You can find out more by watching our fantastic research film below.

By studying a student’s spontaneous eye movements as they read, our assessment can precisely determine their individual reading level by picking up on minor differences in the way their brain process text. Having conducted nearly 250,000 tests worldwide, analysis by our latest machine learning model is now carried out with an accuracy of over 97 percent.

Eye movements provide one of the best ways to measure reading ability at an incredibly in-depth level

Gustaf Öqvist Seimyr – co-founder of Lexplore, Sweden