5 months
Concept, Research, UI, UX, Animation, Testing
Adam Smith, Miguel Cardona
An exploration of microaggression awareness in real-time conversations and long-term tracking system
Help people aware of microaggressions and change their behavior in daily communication
We all have stereotypes, all the time, without knowing it. These biases come from our various background, cultural environment and personal experience.
We consciously and unconsciously reveal these attitudes and beliefs through different ways in everyday life. It might hurt a certain person or a group through our implicit actions verbally or nonverbally.
78% of people experienced at least 1 microaggression over a two-week period.
Make the invisible visible. Leverage technology to help people notice and rethink their microaggression behavior in real time, educate and inform people to interact better with each other.
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The aggressor notices the microaggressive behavior immediately
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The microaggression is recognized and raised by the recipient
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The aggressor needs to respond to the recipient as soon as possible
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View daily activities and track a specific microaggression
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Interact and engage in the community
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Be educational and bring more engagement
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Track long-term microaggression stats
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I started with establishing a tangible design process in the early stage to have a clear and specific scope about the necessary phases of thesis project and breakdown to the tasks for each week and each day.
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During the time I started to interview different people about their understanding and experience about microaggressions. I realized there are some pain points the they are struggling about.
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For both the watch and mobile user interface, I utilize color to indicate different status and level of intensity, for example, the pinkish color represents an aggressive and unstable situation and the light green color expresses a safe and good condition.
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The purpose for this thesis project is to bring more awareness to people while communicating with others in daily life and I explored a new experience to have real-time detection and long-term tracking system to make microaggression less ambiguous and uncertain. Instead, it should be more visible and encouraged to confront and transform into a more positive conversation. During the time I talked to people with different cultures and races and did some research about microaggression, I found out some typical scenarios that happen a lot among these people and came up with the idea to solve the problem. There are some technical and other issues I didn’t take into consideration yet, which I hope I can have better solutions after further testing and deeper learning.