Summary: I spent last summer 2016 at 'Innovation and Design Lab' at Motorola Solutions as a UX Design and research intern. I worked on two projects during the 12-week intern. First project was to study the impact of self-driving cars on policing and the second parallel project was to design a text based input system to facilitate informal communication between police officers.
Contextual Inquiry, Qualitative Research, Literature Research, User Journey, Conceptualization, Usability Testing
Self driving cars
Self driving cars market is changing rapidly. Many tech companies and automobile companies have released their vision of self-driving cars targeting different sectors like Uber targeting commercial travel. A lot of these visions are interesting but what are its ripple effects on working style of police officers?
Primary reason for designing a new input method was that the device the officers were using for input has considerably smaller screen size and the officers have to always maintain their situational awareness. The error rate was really high when officers tried typing on these devices using traditional mobile keyboards.
Policing with self driving cars
Envisioning how can life of patrol officer and policing in general change with self-driving cars?
Input Method for Patrol officers
How can the input system for informal text based communication between officers be made better and efficient?
These projects are under NDA so I can't share the entire details but here is a glimpse of what I did during internship.
OBSERVATION AND CONTEXTUAL INQUIRY
A day in a life of a patrol officer
To understand the tasks, actions and behaviour of a patrol officer, I went on a ride-along with a patrol officer. During this ride-along, I was looking for her pattern of using her vehicle, her communication habits and her day-to-day activities (How does she start her day? What happens once she receives call from dispatch?).
USER JOURNEY & AEIOU MAPPING
What do they need in moments that matter?
Analyzing primary and secondary research data, we grouped officer activities/ tasks in 5 key touchpoints: start of shift, proactive patrol etc. We further expanded these touch-points using AEIOU mapping into user needs, tools, officer activities/ tasks and information flow.