Midterm Research
The simplest occurrence can make or break your day - dropping a hat in the mud will set a chain of unfortunate events. A smile from a stranger will brighten your whole day. The interactive mundane has this power over us. Email by now is as familiar and comfortable a platform to most people as a kitchen sink. And just like a kitchen sink designed well will make cooking process a delight - or a messy nightmare if designed poorly - email can elevate or ruin some of the most typical or the daily routines.
In this project we will redesign the interactions users have with desktop email clients - your outlooks, apple mails, and windows mails. Things we all use daily and expect to work seamlessly, but that have the power to disappoint and make a mountain out of a mole. We will focus our attention on
the ability or microinteractions to make those digital chores easier, simpler, more enjoyable - and less noticeable.
the power of the well-designed user interface to move the task to the periphery, and to bring forward the delight of being able to communicate instantly across the globe.
My research focused on the analysis of existing email clients on the market - specifically Gmail, Outlook and Apple Mail - by reviewing their Strengths, Weaknesses, Threats and Opportunities (S.W.O.T).
TASK
Email Visualization
I’m focusing on enabling users to seamlessly open multiple components simultaneously within the same window. This enhancement would streamline productivity and enhance user experience by allowing individuals to effortlessly manage multiple aspects of their emails without the hassle of switching between tabs or windows. Specifically, I’m focusing on viewing emails simultaneously/in tandem.
TASK
Email Security (Spam Detection)
Through an integrated trained AI that to learns the behavioral patterns of each user, we would be able to provide an extra layer of protection for email threats such as phishing, spear phishing, and impersonation. Traditional secure gateways receive data from external sources, and rely on global rules to detect large-scale attacks coming from low-reputable senders, or that contain malicious code. However this system often fails in detecting targeted attacks, coming from trusted senders, or that contain links to pages that appear to not be malicious. An AI security integration would give the AI access to external, internal, and historical mail flow to learn the user’s communication patterns and train through feedback loops to better detect possible email fraud. Currently a solution like this is only offered through third party companies, and is not available inherently through the provider.
