We’ve finished filming, and are in the process of editing/compiling into Korsakow right now. I’m mostly handling the editing of fragments in Adobe Premiere, which is feeling like the easy job after we all had a look at Korsakow. Apparently the program is easy to use, and we have some of it figured out, however a bunch of the little functions are still a mystery to me. The editing process in Korsakow is also not just about cutting and pasting, it’s a challenging assemblage we’ve had to talk about as a group. I even had to draw a little map to plan it out. It’s a different experience to cutting with traditional editing software.
One thing I’ve worried about during the editing process is how the audience will perceive the final product without context – how can we help them understand what we’re trying to do without being too on the nose? We’ve discussed titles to help differentiate the different kinds of boredom. Maybe that will be enough. The week 6 reading (Weihl, 2016) says it is “up to the user to become a kind of co-author or co-editor navigating a database of audio-visual material”, so hopefully their experience comes together through their navigation. The images themselves should theoretically convey the ideas we are trying to present through intellectual montage (regarding non-fiction).
With our presentation tomorrow we’ve had to begin thinking about what ideas and questions have emerged from the development process of this project. I feel as if our fragments have been successful in trying to portray boredom, but haven’t explored what it means to people in a deep enough way. I hope we can focus a bit more on current issues regarding distraction and a lack of meaning for our next project, as well as how technology plays a significant part in today’s society and keeps us constantly engaged. I’ll go into more detail about how we could tackle these matters in my reflection post.
References
Weihl, A 2016, Database aesthetics, modular storytelling, and the intimate small worlds of Korsakow documentaries, NECSUS Journal, Small Data.