Interesting development I found over at IBM:
The IBM Watson Personality Insights service uses linguistic analytics to extract a spectrum of cognitive and social characteristics from the text data that a person generates through blogs, tweets, forum posts, and more.
Test runs of different pieces of my writing provided different outcomes, of course. For example pieces from fiction produced the protagonist personality, which fits. For my own blog post writing, it did reflect closer to my own personality type.
I wonder if some sci-fi story has been written about how nobody speaks in the future, because the computer hears your words and determines your actions… I guess it’s like a “precog” from Minority Report but instead of mutants, it’s computer. Of course Orwell’s 1984 even involved something similar with constant surveillance. Maybe it’s because the open-ended: “and more” in the description leaves the uses wide open.
Because of my non-fiction book: The Four Sisters Groove: Learning the steps to effective communication, I have a special interest in anything dealing with personality and the interaction of those personality types. According to the IBM Watson site, The Personality Insight Model analytics are built on the Big Five, Needs, and Values models. Of course how IBM Watson did all this is described at the site, but when it comes to writing right, the idea of content reflecting personality and decision-making outcomes opens up a huge opportunity for writing. From fiction to non-fiction, how could this influence your ability to write right?
Does your character say and do the things that fall in line with his “Big Five” or “Needs” or “Values?” Does knowing this about your writing help your characters to “ring true?” Give it a run on your writing and see how right it rings.