Between week 2 and 3 we realized that a lot of our research and design arguments were based on guesswork and assumptions. We had looked at the city administrations website and tried to map it out, but we didn’t document it or gather it all together. This made it very hard for us to discuss ideas and viability both between ourselves and externally. We had spent a lot of time discussing but made very little actual design work. This week we really wanted to gather real documentation, make some stuff and get things going!
We started the week by collecting screenshots of the different posibilities within actual notification frameworks of iOS and Android. Both operating systems have recently added “rich notification” frameworks, which opens up a lot of possibilities for user interaction before even opening the app. It was important for us to get a clear view of how they worked, so that we could make viable and realistic design proposals.
Although the visual look of the notifications are different on the two platforms, they contain roughly the same elements: collapsed and expanded views, designated text and graphic areas and direct actions.
A big different between the Android and iOS however, is that the unopened notifications are persistent on the former platform, but disappear from the lock screen on the latter. If we would decide to continue exploring notification interaction, then we had to keep this mind.
We made five different prototypes to test out different levels of interactivity and complexity. We wanted to find out what real users actually found interesting; simple information, personalization, feedback or visualizations. All prototypes started with the same lock screen notification so that we could focus on the in-app experience.Â
The first prototype tried to channel the minimalistic spirit of the earlier concepts. It gives the user a simple message of a recent activity by the city with the possibility for the user to read more messages.
Prototype 2 included the possibility for the user to get messages related to their own areas of interest. This personalization would also be reflected in the following lock screen notifications. Another difference of this prototype is that it has two levels of information. The first level is a short notice of what the city has done. The second level, which the user may or may not open, gives more in depth information about the details and context surrounding the activity.
We also wanted to test out the possibilities for simple feedback from the user. How would the users feel if they could quickly let the city administration know how they felt about the work being done? We used the emoji based reactions from Facebook for two reasons; firstly to give them a larger range of expression than like/unlike, good/bad etc, secondly to test out how they felt about this informal way of interacting with the city administration.
To expand further on the concept of feedback, we made a fourth prototype which included the option of adding a text based comment to the emoji based reaction. We hypothesized that this would be especially relevant incase some of the users felt the need to respond with anger. Would this be because they didn’t agree with some of the work the city did, or maybe they way it was being done? We wanted to ask the users if they could imagine a scenario where they might react negatively in our app.
The last prototype focused on presenting the information much more visually by marking the completed work precisely on a lifelike three dimensional map. This prototype was the least fleshed out, with just a simple screen with no interactivity beyond the notification screen. This actually worked quite well as an exploratory tool for discussion because we could ask the testers what they thought the app would do next or what they wanted it to do next.
We spent the afternoon testing out our prototypes with both other students at AHO and strangers on the street. Each user got to test all prototypes in the same order. That way we could compare how the users reacted to the different iterations.
We learned a lot from doing this. We quickly realized that communicating the information purely through text didn’t really captivate our users. We hypothesized that a simple text based message would lead to a mindfull and poetic experience, but it seemed that our users simply didn’t registers the actual information on the screen. Out message got lost among the daily information overload! We also saw that having lots of different messages available for the users led them to endlessly scroll through the “feed” of activities, again without registering the actual content. This meant that we would have to limit the amount of content in future prototypes. Overall though, it seemed like our users didn’t really love our concept. Relating back to the context/motivation/content-framework, the motivation part was certainly our projects weakest link. A glimmer of hope emerged when our users got to the fifth and final prototype. When they saw the activity placed on a map, the information suddenly got much more relevant for them. “Oh, now I can actually go for an evening walk there!” a user exclaimed after seeing where the city had fixed the broken street lights along the Aker river. We then knew that working on the visual aspects was the way to go forward.
We also did more concrete research on how the city administration operates. We called a service worker at the department of city planning, contruction and property to ask about the work logs for the work the city does.
This chart shows how the information flows between the citizen, the city administration and the contracted entrepeneurs when a cititzen submits a request for city maintenance. If the citizen has categorized and location marked their request correctly, then the information goes automaticly to the correct entrepeneur contracted to that specific activity and location. After the work has been done, a report gets sent back to the city administration containing information about the time of day, work hours, location and component use. This information gets archived somewhere automaticly as well. The city administration’s part of this flow is mostly automated. This means that it would be possible for our app to be run fully automated by simply tapping into the exicting reporting system.
We also needed to prove that the actually was enough work beeing done in each neighborhood for our concept to utilize. We made charts documenting all the possible activities our app could display to the users. We sorted the activities into frequency, season and type of work like routines, uppgrades and repairs, along with mapping them out in a typical Oslo neighborhood.
After reviewing all our insights from research and user testing, we made two last prototypes for the week; one personal map based and one visual illustration based.
https://xd.adobe.com/embed/0ff2cd1b-e0c6-4e65-8605-6e279d3edd8d/screen/de4ceeec-b121-4c7d-aaeb-f641501d5340/iPhone-6-7-8-20
The personal map based prototype shows the user a selection of activies based on their interests and location data. The information is presented in two levels; a short overview and a second detailed paragraph. When the user closes the message box, a map with the active area highlighted appears. We chose to separate the text and the map into two different layers after seeing the users getting confused and missing information when they tested the map based prototype 5.
The concept uses an automatic algorith to make the selection of activities more relevant to user.
The algorithm looks at previous usage patterns and location data. It compares both the activity being done, the location of the activity and the location of the user, and relates it to how the user has responded to these parameters before. The algorithm still has a degree of randomness, as to not get put in an endless loop of the same types of activities in the same locations. A nice metaphor for this system is a lottery bowl, where the algorithm adds more tickets for the activities most relevant to the user.
The second prototype utilizes poetic visualizations based on the data included in the work report from the entrepeneur. The illustrations consist of a forground showing the work, a middle ground showing the location, and a colored background based on the season and time of day. These elements are stored individually in a resource bank which the system pulls from. The bank contains pre-made elements matching all the different activities, locations and points of time. The text elements are also generated form a given set of clauses. The user can chose to scroll down to a second screen which is more statistics focused. This screen contains a stylized autogenerated map along with the raw data from the report.Â
This flow chart shows the visualization generation process. All the elements of the screens are pre-made and automaticly generated based on the activity logs from the city administration. This allows our app to be completely self run after the initial set up.
We saw potential in both of these concepts, and hoped to combine elements from both is the following week