Journalyze
Exploring the Depths of Your Thoughts Through Natural Language Processing (NLP)
Exploring the Depths of Your Thoughts Through Natural Language Processing (NLP)
The technological field of natural speech analysis has made great strides in recent years. We investigated new potential in this area. While voice-controlled applications like Alexa, Google Home, and Siri have made life more convenient, and big companies pay for software to analyze customer needs, it is more than timely to investigate:
Our vision was to apply novel technologies to self-reflection techniques such as "journaling." Journalyze leverages Natural Language Processing (NLP) to assist you in recapping and reflecting on your daily experiences.
Our goal was to create an application that allows users to explore their inner worlds at their own pace and level of comfort. We conducted user tests on multiple navigation patterns to determine solutions that cater to individual preferences.
Given the sensitive nature of the data involved, our design embodies trustworthiness in its wording, visual elements, and motion design.
Simply record journal entries, which are then transcribed and analyzed for you. Smart formatting ensures that your text remains easily readable.
Navigate through curated snippets of your journal and discover the insights uncovered by Journalyze. Each discovery is accompanied by generated prompts that encourage deeper reflection on specific entries. You can save snippets or dive into the raw manuscript to explore the context further.
Highlight and save essential insights or motivating quotations that resonate with you in your notes. Jurnalyze's feed compiles all the text pieces that hold significance for you. With Journalyze, we aim to empower you to delve into the depths of your own thoughts and unlock valuable insights that can enrich your self-reflection journey.
Team:
Vincent Fischer,
Nico Brand
Consulting:
Prof. Hans Krämer,
Ann-Katrin Spörl
University:
HfG Schwäbisch Gmünd,
Winter
Semester 2017