How it started
The technological field of natural speech analysis has made great strides in recent years. We investigated new fields of potential in this area. Speech to text Applications like Alexa, Google Home or Siri can make life more convenient. Even big companies pay for software to analyze customer needs, critical of that fact we asked us this question:
We wanted to apply it to a self-reflection method, so-called "journaling". Here you recapitulate daily events to reflect on them. In this case Natural Language Processing (NLP) helps you with that.
The application should enable the user to comfortably explore. So we tested several navigation patterns to come out with solutions that suit individual preferences. There is a quick and fast way, but also a deeper layer of information the user can dive into. Because we work with sensitive data the design has to have a trustworthy appeal. The Wording, visual-design and motion design adds this profound character to the product.
Simply record journal entries, which are then transcribed and analyzed for you. Smart formatting converts your text legible.
Search & Discover
Discover clues or search through your entries for key moments, emotions and everything else that is important to you.
Find important insights or motivating quotations in your journal entries and save them in the notes.
University: HfG Schwäbisch Gmünd, Winter Semester 2017