Artificial Intelligence Against Depression

APPLICATION: BREAKING THE MISERY LOOP ON SOCIAL MEDIA AND BUILDING AN ANTI-DEPRESSION CONTENT FLOW

Due to Human Behavioral Activation methods which are widely used for depression treatment, there are some suggestions about new content flow strategies which can break the ‘filter bubble’ which can reinforce the anxiety on social media users.

LIFE LOOP DETECTION

LOOP OF MISERY

In some periods of time, human is kept accustomed by environment containing media, friends, lifestyle, etc…

If it was possible to create a list of all environment elements known by a tuple of id and other properties, then it will be possible to generate array ‘a’ which is representing peer to peer accustomization of elements mentioned.

e.g->

Human ‘H’ has following life style

enviroment_elements:

breakfast, 1 hours/day, morning, egg and milk

news, 2 hours/day, morning, bbc

university, 4 hours/day, noon, mathematics

gym, 1 hours/day, afternoon, pool

chat, 2 hours/day, night, politics

H is accustomed by the current lifestyle so ‘a’ array will be generated as following:

[True, True, True, True, True]

H will not face any new optional and selective event until updating the daily program with new friends

environment elements (new): chat, 3 hours/day, night, art-politics

H is not already accustomed with new environment elements so ‘a’ array will be generated as following:

[True, True, True, True, False]

then H has the chance to explore more out of life using explore() function.

explore() uses X. X will be ‘True’ if H is accustomed by environment; and it will be ‘False’ even if there is an element which isn’t accustomed yet so the busy loop will pass.

Algorithm

a = [True, True, True, False, True, True]
X = lambda n : a[n] if n < 1 else X(n-1) and a[n]
def explore ():
    .
    . EACH HUMAN STRATEGY OF LIFE
    . UPDATING a
    . UPDATING environment_elements
    .
    while X(len(a) - 1):
        continue
    explore()
explore()

CONTENT STRATEGY

CHOICE THEORY BASIC NEEDS

According to Dr. Glasser, all behavior is purposeful. It is our best attempt at the time, given our current knowledge and skills, to meet one or more of our basic human needs, needs which evolved over time and have become part of our genetic structure. These needs are the general motivation for everything we do.

1. Survival — This need is a physiological need, which includes the need for food, shelter, and safety. Because we have genetic instructions to survive, not only as individuals but as a species, this includes the need to reproduce.
2. Love & Belonging — This need and the following three needs are psychological needs. The need to love and belong includes the need for relationships, social connections, to give and receive affection and to feel part of a group.
3. Power -To be powerful is to achieve, to be competent, to be skilled, to be recognized for our achievements and skill, to be listened to and have a sense of self worth.
4. Freedom — The need to be free is the need for independence, autonomy, to have choices and to be able to take control of the direction of one’s life
5. Fun — The need for fun is the need to find pleasure, to play and to laugh. Should you doubt that this is as important as any of the others, imagine a life without hope of any enjoyment. Glasser links the need for fun to learning. All of the higher animals (dogs, dolphins, primates, etc.) play. As they play, they learn important life skills. Human beings are no different. It is true that “play is a child’s work.”

Characteristics of the Five Basic Needs:

• Universal
• Innate
• Overlapping
• Satisfied from moment to moment
• Conflict w/ Others’ Needs

6 SOCIAL MEDIA CONTENT CATEGORIES TO DELIGHT YOUR FANS

A famous categorization of content on the internet is used in this model.

MATRIX OF CONTENT SATISFACTION STRATEGY PER HUMAN

|       -       | Survival | Belonging | Power | Freedom | Fun  |
|---------------|----------|-----------|-------|---------|------|
| Entertainment | Ϝ 1      | Ϝ 2       | Ϝ 3   | Ϝ 4     | Ϝ 5  |
| Inspiration   | Ϝ 6      | Ϝ 7       | Ϝ 8   | Ϝ 9     | Ϝ 10 |
| Education     | Ϝ 11     | Ϝ 12      | Ϝ 13  | Ϝ 14    | Ϝ 15 |
| Conversation  | Ϝ 16     | Ϝ 17      | Ϝ 18  | Ϝ 19    | Ϝ 20 |
| Connection    | Ϝ 21     | Ϝ 22      | Ϝ 23  | Ϝ 24    | Ϝ 25 |
| Promotion     | Ϝ 26     | Ϝ 27      | Ϝ 28  | Ϝ 29    | Ϝ 30 |

Ϝ, ϝ (waw) Calculation

Each peace of content that has a meaning and can cause an effect on audience which we call it a ‘Compound’ has a Matrix as mentioned below:

|       -       | Survival | Belonging | Power | Freedom | Fun  |
|---------------|----------|-----------|-------|---------|------|
| Entertainment | ϝ 1      | ϝ 2       | ϝ 3   | ϝ 4     | ϝ 5  |
| Inspiration   | ϝ 6      | ϝ 7       | ϝ 8   | ϝ 9     | ϝ 10 |
| Education     | ϝ 11     | ϝ 12      | ϝ 13  | ϝ 14    | ϝ 15 |
| Conversation  | ϝ 16     | ϝ 17      | ϝ 18  | ϝ 19    | ϝ 20 |
| Connection    | ϝ 21     | ϝ 22      | ϝ 23  | ϝ 24    | ϝ 25 |
| Promotion     | ϝ 26     | ϝ 27      | ϝ 28  | ϝ 29    | ϝ 30 |

In our definition, because of measurement limitations, we calculate the ϝn per each unit of content which we are dispatching to audience; then if we are dispatching a PDF about ‘Geography’ and we guaranteed the effect, the compound is the whole content or we can just dispatch a bit of ‘Rumi’ poetry as compound. In other words, each post sent to a human is a compound.

ϝ is a function of a human’s living organisms, content, time, and etc …

Example: Suppose that Human ‘H’ is reading a book ‘B’. ‘H’ is receiving multiple waw effects. For simplicity we just calculate a total (σ) estimate as ϝn for whole ‘B’. Then we have to calculate matrix for ‘H’. It would be Ϝn = Σ ϝn

Progress improvement is compared using arrays below:

• Satisfied: Column Sum
• Need: Basic Needs Test output
• Satisfied:Ϝ tϜ tϜ tϜ tϜ t
• Need:Ϝ tϜ tϜ tϜ tϜ t

Notes

• Glasser test are not real partitions of human basic needs because of their real world intersection; they are effecting each other and they aren’t time-independent. So there must be a ‘k’ nearby ‘i’, and ‘j’.