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tasks: I told him not to pick Boston, but to pick florence.
he tried to click on a particular place shown by the map.
he looked around the map to pick places.
wants a search feature for the map where you can find restaurants.
he manually plans for walking time, though didn't include enough.
the autocomplete for places doesn't really succeed in finding things that well.
It would be good if you could click on the map to pick a place.
if they type a full name, I should search for the location with google maps
he thought of the idea that he could drag the thing to where he
wants to go. that worked well, but placing it there, it did not stay.
his loop is: seach in the map for interesting places, then type in the name.
he knows how delete works.
The tabs are pretty intuitive.
the start and end time should be shown 
"how do I save?" we should have a way to email the schedule or something at least.
the autocomplete should recognise a category name and show options for that.
the location of a specific place is not actually being selected.
It should pop to the nearest place matching that category.
clicking on the pin, the nature of the info displayed is non-obvious.
It is not obvious what the start and end times are.
took a while to discover that you can lock something.
It is hard to lock things because clicking the lock is hard (fatfingers).
redo doesn't completely reverse the operation.
selecting an event should scroll to the event.
Changing the time fucks everything up.
It removes the schedulegrid.
Undo fixes that.
And then he somehow breaks everything and cannot create activities.
"""There should be a button that just says "pick shit for me to do"
that picks the top-10 things.""" (I disagree with this.)
He did not use autoschedule.

User 2

User 3

Report

Design

Implementation

View

Model

Scheduling algorithms (Controller)

When an activity moves from the Activities column to the Scheduling column, an important decision to make is how to "make room" for the new activity in the Scheduling column.  We implemented separate algorithms for the following operations:

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The auto-scheduling algorithm, in addition to the above heuristics, tries to minimize the average euclidean distance between each activity.  This was also done to generate better schedules: given a set of activities, the user wants to complete as many as possible in a fixed amount of time.  The algorithm internals are traveling-salesman-like: we have a set of unscheduled items which we add to the schedule in different ways (while observing the "principle of least destruction").  Then, we choose the best complete configuration based on the weight function we described above plus the distance metric.  Despite our small problem scale, the brute force approach did not work time-wise; so our algorithm is greedy, with intelligence to avoid getting stuck in bad schedules.

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Evaluation

Reflection