Uplift on "random dictionary words" (excluding 'stop words' & proper nouns) was ~20%; uplift on "random words from my local epub library" (same exclusion rules) was ~40%.
The random words from my local epub library (leans toward postmodern fiction) were definitely more evocative than the dictionary words when I eyeballed them.
I randomised each turn but kept the story prompt request the same across control, dictionary, personal library.
I must stress that I'm not claiming scientific method or certainty here - just sharing an approach that seemed to work well enough for me, and seemed like a reasonable conclusion: introduce noise, get more interesting output.
I haven't done the math but I think you'd need a much larger sample size than 1k per category to prove the uplift!
The random words from my local epub library (leans toward postmodern fiction) were definitely more evocative than the dictionary words when I eyeballed them.
I randomised each turn but kept the story prompt request the same across control, dictionary, personal library.
I must stress that I'm not claiming scientific method or certainty here - just sharing an approach that seemed to work well enough for me, and seemed like a reasonable conclusion: introduce noise, get more interesting output.
I haven't done the math but I think you'd need a much larger sample size than 1k per category to prove the uplift!