Our mission and inner drive are to help people understand each other and build a strong relationship that lasts.

On the basis of the latest socio-psychological research in combination with the powerful methods of AI, we have succeeded in capturing the personality of a person from their texts.

Based on their words, 100W gives insight into people's personalities, relationships, feelings, ways of thinking and needs. In combination with consciously formulated words, our tools make the unconscious transparent in communication.

The foundation of 100W Psychological AI is a worldwide recognized scientific method. We meet the highest standards regarding validity.

Our Responsibility

Language helps to express the personality of every human being. We combine Psychology with AI to identify mood, motives and personality traits.

Our highly reliable results are based on a comprehensible procedure. Our tools are functional, simple and transparent − the result fully traceable. This is the prerequisite for a trustful cooperation. As a leader in the recognition of implicit motives from languages, we are aware of our responsibility and take it extremely seriously.

Our tools and methods are fully transparent and validated with independent data.

Our Commitment

  1. The analysis is based on sophisticated scientific criteria.
  2. We publish the results of our scientific research and work. 
  3. We promote public discourse on our topic.
  4. No non-public texts will be analyzed by third parties without their consent.
  5. The results of the analysis are fully understandable and easily illustrated for the recipient.
  6. The analysis contributes to a better understanding of human beings.
  7. The results are not used in a harmful way.
  8. We do not disclose any data, it is only for internal use to improve analysis quality.
  9. We host all data and operations and our innovative tools are secured within  data centers in Germany.
  10. We are fully in compliance with GDPR and we adopt the highest security standards.

Do you want to know all the details?

Learn more about the scientific basis of 100W and our products.
Psychological AI-more

The Psychological Model

  • The Face
  • The Heart
  • The Legs

The Face

Capturing personality traits with psychological Al

The frequency with which we use certain words and word combinations reveals something about our personality. This connection, which many would assume is intuitive, has already been shown and replicated in many scientific studies. In the development of our 100 word analysis, numerous psychological studies were considered in which experienced researchers from different disciplines were involved. Especially the American social psychologist, J. Pennebaker, contributes immensely to the understanding of the connection between language and personality.

Through his work, we know that it is the seemingly unimportant function of certain words (e.g. personal pronouns or articles) which reveal the most about a person. Functional words are sentence-logical elements that do not transport content. They are rather structural content words, thus giving them a linguistic framework. In the following examples we will demonstrate how the linguistic structure reveals something about a persons personality.

How people think – analytically or intuitively – is reflected in their use of function words. For example, people with an analytical way of thinking increasingly use function words which give their language accuracy, such as articles or prepositions. Researchers discovered this connection by examining application letters from students.

The dominance of a person can also be determined through language. Several studies have investigated how dominant people use language in comparison to other study participants.

Some findings point to a connection between depression and language. Repeated studies have shown that the personal pronoun "I" is more often used by depressed participants than those not suffering from depression.

The Heart

Capturing emotions with psychological AI

The use of words reveals something about a persons current emotional state: Are they sad, angry or happy at the moment? Initial, emotions can be divided into positive and negative valences. In addition, negative emotions in particular can be further subdivided, with the most relevant negative emotions being grief, anger and fear. Moods and feelings, on the other hand, seem to be expressed through so-called content words.

The Legs

Capturing implicit motives with psychological AI

 
The motives based on the theory of McClelland
 
In general, three /four basic motives are distinguished. These are the motives of power, status and leadership, performance and development and a harmonious relationship with others. These motives were formulated by the social psychologist David McClelland and have been largely researched in psychology. However, these motives are not evenly distributed, but are somewhat different for each of us: for one person it is important to maintain good relationships with others, while another strives for admiration. These motives arise from our upbringing, our social environment and our experiences. Often, we cannot even determine which motive actually drives us. Such unconscious motives are called implicit.
Automatic capturing and processing
 
The 100 Worte PSYCHOLOGICAL AI captures implicit motives similar to methods that have been used successfully over long periods of time (e.g. Thematic Perception Test TAT).
This is how the analysis works:

Psychological AI

How we use Machine Learning

Gruppe 980
Gruppe 979-1

Simulating human text understanding

AN EASY TASK:

Does the word "conduct" have the same meaning in the following sentences?

  1. Gold conducts electricity better than wood.
  2. He conducts research on second language acquisition in adults.

You probably give these words a different meaning because you understand the context. However, a machine always interprets these words as simply „conduct“. We understand the meaning of words and apply them automatically without thinking about it.

A machine must learn the difference. In order to convey this distinction to the machine, we use different machine methods of word processing and text comprehension. These methods are referred to as Natural Language Processing (NLP).

Accomplishing mechanical comprehension

Part-of-speech tagging (POS) is the assignment of words and punctuation of a text to word types such as adjectives or verbs. We use this technology to distinguish the following sentences for example:

  1. He attributes his success to lots of hard work. ("attributes" = VERB)
  2. Our research has identified certain attributes of successful open source projects. ("attributes" = Plural NOUN)

Bidirectional Encoder Representations from Transformers (BERT) give words a vector that also takes context into account. We use BERT if words with different meanings cannot be distinguished by their word type.

  1. What is the date today?
  2. The young couple had a romantic date at the restaurant.
  3. I like these dates, they're very sweet.

 

 

Psycholocial AI Publications and Whitepapers

Motive statt Emotionen

Wir sich die Alternativehypothese von Barth und Funke(2010) mit der 100 Worte Textanalyse untersuchen lässt.

Validierung der impliziten Motiverfassung Stand 2018

Lassen sich Ergebnisse aus impliziten Motivtests mit den 100Worte Motive Kategorien vorhersagen: Eine Validierung.

Höchste Qualitätsstandards-von der Wissenschaft zur Anwendung

Von der Wissenschaft zur Anwendung- Entwicklung einer Kl-unterstützten Textanalyse.

Genderbias in den deutschen Stellenanzeigen

Wie geschlechtsspezifische Sprache die Ungleichheit zwischen den Geschlechtern verfestigt.

Wissenschaftlicher Hintergrund -ein Deep-Dive in die bisherigen Arbeiten

Wissenschaftlicher Hintergrund -Deep Dive

Die 100 Worte textanalyse zur Messung impliziter Motive-eine Validierungsstudie Stand 2020

Die 100 Worte Textanalyse zur Messung impliziter Motive -eine Validierungsstudie
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