Challenge:
24%
In just three years, drug claims in Canada for treating mental disorders among those aged 30 and under soared by a staggering 24%
The project hopes to address the challenge of analyzing numerous journal entries to find correlations between the individual's activites and their mental health symptoms. Aiming to help individual's actively avoid or increase activities to improve their well-being.
Research:
Findings from interview questions and secondary research:
Pyschological Barriers
- Motivation & consistency
- Perceived usefulness
- Repetition
- Emotional challenges
- Writing challenges
- Time constraints
- Self-criticism & hesitation
- Lack of direction
Technical/Functional Issues
- Lack of customization
- Simplistic features
- Receiving same generated responses
- Aesthetic concerns
Privacy Concerns
- Data sharing through AI
Persona:
Site Map:
Design Process:
Logo:
First Iteration of Logo
This logo was meant to reflect the inward feelings and emotions of individual's when journaling.
Second Iteration of Logo
This logo took in the new color scheme and typography change.
Final Design of Logo
This redesign incorporated the new color scheme as well as took a positive and uplifiting tone.
Colour:
Monochromatic Purple ~ Emphasize the feeling of calmness. The purples are cooler with a little bit of contrast for one or two shades so that the loud colours aren't as evoked for the user and potentially stress them out when using the application.
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Mascots:
The users have the option to customize their mascot so that they can feel that there is a personalized companion that is following and guiding them through their mental health journey.
Panda
Represents peace and friendship
Sloth
Represents relaxation and patience
Frog
Represents kindness and family
Otter
Represents wisdom and good luck
Hi-Fi:
Coding:
The ai sentiment analysis which plays a fundamental role in separating the app from competitors, will pull out key words in order to display prominent feelings and emotions within that journal entry. This feature further assists with analyzing past journal entries.
The chart pulls the emotions that most commonly show up in the journal entries and displays it for a week, month, or yearly view.
The recommendations are based off the sentiment analysis and the emotions and key words that were identified. It will then give a recommendation based on that.
Sentiment Analysis | Privacy Concerns:
- Sentiment Analysis is an AI-based technology that can determine the emotional undertone of a corpus of text. Sentiment Analysis inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer's attitude as positive, negative, or neutral. Also called "opinion mining", it identifies and detects subjective information from the input text.
- EdenAI services was used for sentiment analysis. EdenAI does not store data at all, and any data (e.g., journal entries) are transmitted directly back to innersight.
- The data is managed using Google Firebase services, which stores the data in Belgium.
Solution:
InnerSight solves the problem by utilizing AI to analyize and generate the emotional undertone of all entries. Then by recording the data, InnerSight generates a visually pleasing pie chart for individuals to be able to see their overall conditions of their emotions at a quick glance. Lastly, InnerSight then provides the next step that individuals can take through personalized recommendations.