[gnicholas]

> we intend to run some more tests in the hopes of discovering a screen reading technique that yields material benefits. We're aware of a couple other technologies that seem interesting including BeeLine Reader, Spritz, and Sans Forgetica.

BeeLine founder here — feel free to reach out prior to your testing (nick@[domain]). We can share info on past testing and implementation techniques.

We've wondered about Sans Forgetica in the past, which may increase reading comprehension (at the expense of speed). It might be interesting to try a BeeLine/Forgetica test, to try to get the best of both worlds!

[fsiefken]

Coincidentally I was wondering a similar thing this morning. To get as much text as possible on paper for holiday reading I managed to get the text down 30% while by stripping out any vowel but the first in a word, replacing 'the' with '#', 'and' with '&' and of' with '%'. I also used the smallest Tahoma font and multiple columns. This increases reading complexity just as Sans Forgetica, but perhaps also increases reading speed somewhat- because words get stripped down to their 'essence' (perhaps similar to chinese or japanese script) and your eyes move less with multiple columns. In that 'word essence'sence this technique has similarities to Bionic Reading. Combining the two would be tricky, as what letters would be bolded with the devowel method and can you get closer to a word essense? The combination with Beeline and Bionic Reading or devoweling could have more potential. It's nice that Beeline has gray scale support.

sed 's/ and / \& /g' -e 's/ of /\ % /g' -e 's/ is / \= /g' -e 's/ th / \# /g' -e 's/\B[aeiouAEIOU]//g' -e 's/\(.\)\1/\1/g' -e "s/'//g" sacred-world.txt > sw.txt

[Poppys]

This suggests that it is not that useful https://warwick.ac.uk/newsandevents/pressreleases/previously...

[gnicholas]

Thanks for the info — I’d been hopeful about Forgetica based on some general research about disfluent fonts and memory. But I guess things don’t look so rosy for this particular one, at least based on this one study. Thanks for sharing!

[hoodwink]

nice to meet you, Nick! shooting you an email now :)