Review II Takeaways:
1. Video flow — hit the specific problem earlier in the video; break the theoretical framework into parts so that qualities/topics can be highlighted separately (good candidate for animation)
2. Specificity — the range of indicators is too broad, zoom in more, so data is more targeted/compelling. I think refining our data to match environmental qualities with human experience qualities will help a lot here.
3. Graphics — match indicator map circles with theoretical framework colors, drop opacity so they don’t blob together, vary the line-weight between roads and buildings (revision example added to end of post above)
1. Arduino – think about the horizontal layers of data in the urban environment. The location of the sensor for data collection should be carefully considered in order to collect the data we actually are targeting.
2. Matching Graphics – pair graphic icons between the theoretical framework and all maps. The indicators represented on the graphs should be easy to track from the theoretical framework.
3. Make things succinct – The problem statement should be short and to the point and the video should present the “thesis” statement as early as possible.
Review II Takeaways:
1. Video flow — hit the specific problem earlier in the video; break the theoretical framework into parts so that qualities/topics can be highlighted separately (good candidate for animation)
2. Specificity — the range of indicators is too broad, zoom in more, so data is more targeted/compelling. I think refining our data to match environmental qualities with human experience qualities will help a lot here.
3. Graphics — match indicator map circles with theoretical framework colors, drop opacity so they don’t blob together, vary the line-weight between roads and buildings (revision example added to end of post above)
1. Arduino – think about the horizontal layers of data in the urban environment. The location of the sensor for data collection should be carefully considered in order to collect the data we actually are targeting.
2. Matching Graphics – pair graphic icons between the theoretical framework and all maps. The indicators represented on the graphs should be easy to track from the theoretical framework.
3. Make things succinct – The problem statement should be short and to the point and the video should present the “thesis” statement as early as possible.