Sunday, March 16, 2008

Mapping Narratives

I thought I'd post an abridged version of the paper I presented at this year's Society for Cinema and Media Studies conference here.

Here's what i had in mind: at any given moment in a film, information is being imparted to the viewer. At the same time, the viewer is aware (to varying degrees) of whether or not various characters are privy to this information. If you see a monster sneaking up behind the heroine, you are aware of the mortal threat to the heroine and you are aware of the fact that she is not aware of the monster. Thus, you feel that the heroine is quite vulnerable, more vulnerable than she would have been had she known that the monster was right behind her.

I'm positing that many (if not all) emotions a viewer experiences are dependent on fluctuations in these relative ranges of knowledge of events over the course of a narrative. For this project, I made some rather crude charts to illustrate my proposed mode of analysis. These charts show the course of movie narratives, and points during that narrative at which a key bit of information (an obvious threat to the protagonist or an obvious aid in helping he or she achieve his or her goal). 1=high level of knowledge ; 0=low level of knowledge. Click on slides for detail.



Flaws: as someone was kind enough to point out at my presentation, I have left out so many subtle aspects of narration (information revelation) in this crude model. The slightest bit of music or glance from a character could be considered a bit of information that would affect our emotions and our perception of goals and threats. To this I would say: I'm working on it. As I said, this model is very basic and crude. While watching movies for this paper, I became aware of the almost infinite amount of information that narratives dole out. And yet, it is not truly infinite. Also, it can be categorized, into threats and goals, by character awareness, perhaps by level of ambiguity. With a more sophisticated data visualization tool, I think I could create a chart that incorporates every bit of information in a narrative that could possibly affect viewer emotion. You could zoom in on various sections of the narratives, or highlight certain types of information.

Then there's the question of motivation. This model works well enough when the goals and threats are well defined, and when viewer identification with the protagonist is relatively straight forward. But what about when its not? When you look at them closely, many movies are bound to have moments of ambiguity concerning motivation, or the status of some bit of information vis a vis a given character. To that, I would say: this is one of the reasons why viewers do not have identical experiences of the same movie. Their experience and values will shape their identification and also their interpretation of some information as possibly helping or hindering a character. And yet, I do not think it is infinitely varied.

In any case, there is a way to set about proving the worth of this mode of analysis. I propose hooking a few viewers up to machines that measure their physiological states and comparing the read out yielded from those sessions with some narrative maps. We may not be able to say that a moment on our viewer physiological reaction chart represents "guilt" or "suspense," but I think we would be able to see fluctuations in the viewer's mental and physiological states. If those fluctuations corresponded to fluctuations on the more sophisticated narrative charts I hope to make in the future, in terms of the fluctuation's spacing, their duration, their degree (which I believe they would) then I think we could start to see how the machinery of narrative actually works on our emotions.

I think we already know the basics of this, intuitively. We're all familiar with the tropes of suspense, with dramatic irony, with farce. This is extending (and exacting) that intuition.