Our Sience 

The recent developments in the HR Tech industry and the evolving expectations of the millennial generation towards assessments and hiring have inspired us to engage in the development of an assessment solution that meets the expectation of tomorrow’s workforce and incorporates the latest in science and technology.

Our first steps into this technology in 2016 taught us that validation is critical and that the matching of both AI technology, with Machine and Deep Learning on one hand and a validated assessment on the other is enormous challenge.

In 2017 we decided on the methodology and the route to follow. We decided that in a first phase, we would focus on the development of an that integrates an .

The outcome of this video assessment should be an and a decision for the user.

02.Our methodology

In the automatic personality analysis we can make a distinction between Automatic Personality Recognition (APR) and Automatic Personality Perception (APP).

According to the Lens Model of Brunswik(Brunswik 1953) people express their personality by means of distal signals, or any form of observable behaviour, that can be seen by others. When observed, these signals are transformed by the observer into proximal signals. These signals are then connected to a mental picture by the observer.

APR focuses on observable behaviour and has as objective to determine self-assumed personality traits from machine detectable signals, the distal signals. According to Rammstedt & John, 2007 this corresponds directly to deducing the actual personality traits of a person.

APP focuses on the personality traits that the observer attributes to a person, and is tasked to deduce these from proximal signals. In reality, both APR and APP distal signals are applied to measure personality. 

The distinction between the two being that APR relies on self-assessment (by means of questionnaires) and APP on the observation of 3rd parties.

Our approach is APR oriented and relies on the self-assessment questionnaires of Thalento®. The Thalento® Personality Model is based on the Big Five Personality Model, and the personologie of Murray (detailed in the Technical Manual of Thalento®)

03.Research Scope

 

The purpose of the research to detect the various measurements of the Thalento® assessment, automatic by means of a video interview.

We are evaluating several theories :

 

03.1
  1. the big five personality theory : Five dimensions that allow to describe the personality of individuals by indicating for each of the five dimensions, how applicable they are for that individual.   

    1. Performance/Emotional stability: Sensitivity vs. Stability

    2. Organisation: Impulsive action vs. Result orientation

    3. Altruism: Independent vs. Supportive

    4. Intellectual openess: Practical vs. Imaganitive Thinking

    5. Social houding: Introvert vs. Extravert

It is our hypothesis that we will succeed to determine the Big Five from our structured video interviews. The academic literature is limited to the Big Five (Vinciarelli & Gelareh, 2014).

03.2

Thalento® 30 Performance indicators: A detailed insight into the professional behaviour of the participant, by means of functional, behavioural and motivation indicators  

The hypothesis for the identification of the 30 performance indicators, is that we assume that all not question-dependant indicators(appx 20)can be detected.

We expect to find cultural differences in the personality traits and will register and catalogue these.

03.3

Quick Performance Scan: the QPS types: insight into the behavioural preferences and functioning of the participant by means of a typology model.

It is our hypothesis, that we will succeed sufficient data from the video interview in order to determine out of the 4 QPS Clusters and 16 Types, the different Communication types (4)

03.4

An additional research topic is the influence of botox. We have determined that we will need a minimum of 100 participants, that have used botox in the 6 months prior to testing, in order to include this is our research scope.

The questions we are looking to answer are:

  1. to what degree can we compensate the loss of micro facial movements, due to the use of botox in reading personality. Botox is in general used for eyebrows and eyes, leaving us with mouth movements and head orientation, verbal and non-verbal speech.  

  2. Does botox have an influence on certain personality traits, such as empathy. (Davis, Senghas, Brandt, & Ochsner, 2010).

Our Sience 

01.Our Research objective

The recent developments in the HR Tech industry and the evolving expectations of the millennial generation towards assessments and hiring have inspired us to engage in the development of an assessment solution that meets the expectation of tomorrow’s workforce and incorporates the latest in science and technology.

Our first steps into this technology in 2016 taught us that validation is critical and that the matching of both AI technology, with Machine and Deep Learning on one hand and a validated assessment on the other is enormous challenge.

In 2017 we decided on the methodology and the route to follow. We decided that in a first phase, we would focus on the development of an that integrates an .

The outcome of this video assessment should be an and a decision for the user.

02.Our methodology

In the automatic personality analysis we can make a distinction between Automatic Personality Recognition (APR) and Automatic Personality Perception (APP).

According to the Lens Model of Brunswik(Brunswik 1953) people express their personality by means of distal signals, or any form of observable behaviour, that can be seen by others. When observed, these signals are transformed by the observer into proximal signals. These signals are then connected to a mental picture by the observer.

APR focuses on observable behaviour and has as objective to determine self-assumed personality traits from machine detectable signals, the distal signals. According to Rammstedt & John, 2007 this corresponds directly to deducing the actual personality traits of a person.

APP focuses on the personality traits that the observer attributes to a person, and is tasked to deduce these from proximal signals. In reality, both APR and APP distal signals are applied to measure personality. 

The distinction between the two being that APR relies on self-assessment (by means of questionnaires) and APP on the observation of 3rd parties.

Our approach is APR oriented and relies on the self-assessment questionnaires of Thalento®. The Thalento® Personality Model is based on the Big Five Personality Model, and the personologie of Murray (detailed in the Technical Manual of Thalento®)

03.Research Scope

 

The purpose of the research to detect the various measurements of the Thalento® assessment, automatic by means of a video interview.

We are evaluating several theories :

 

03.1

Thalento® 30 Performance indicators: A detailed insight into the professional behaviour of the participant, by means of functional, behavioural and motivation indicators  

The hypothesis for the identification of the 30 performance indicators, is that we assume that all not question-dependant indicators(appx 20)can be detected.

We expect to find cultural differences in the personality traits and will register and catalogue these.

  1. the big five personality theory : Five dimensions that allow to describe the personality of individuals by indicating for each of the five dimensions, how applicable they are for that individual.   

    1. Performance/Emotional stability: Sensitivity vs. Stability

    2. Organisation: Impulsive action vs. Result orientation

    3. Altruism: Independent vs. Supportive

    4. Intellectual openess: Practical vs. Imaganitive Thinking

    5. Social houding: Introvert vs. Extravert

It is our hypothesis that we will succeed to determine the Big Five from our structured video interviews. The academic literature is limited to the Big Five (Vinciarelli & Gelareh, 2014).

03.2
03.3

Quick Performance Scan: the QPS types: insight into the behavioural preferences and functioning of the participant by means of a typology model.

It is our hypothesis, that we will succeed sufficient data from the video interview in order to determine out of the 4 QPS Clusters and 16 Types, the different Communication types (4)

03.4

An additional research topic is the influence of botox. We have determined that we will need a minimum of 100 participants, that have used botox in the 6 months prior to testing, in order to include this is our research scope.

The questions we are looking to answer are:

  1. to what degree can we compensate the loss of micro facial movements, due to the use of botox in reading personality. Botox is in general used for eyebrows and eyes, leaving us with mouth movements and head orientation, verbal and non-verbal speech.  

  2. Does botox have an influence on certain personality traits, such as empathy. (Davis, Senghas, Brandt, & Ochsner, 2010).

A final topic is the influence of the numbers questions, the type & content and the sequence of the questions used in the video interview. Literature has shown little to no information on this topic. In order to test our hypothesis we have composed an interview of 12 questions that are designed to solicit a particular response.  The impact of every question on the non-verbal behaviour of the respondent can be observed this way.

  1. The type of question: 

    • Situational questions 

    • Competence questions 

    • Brain teasers 

    • Fantasy questions

 

  1. How many questions are required and is the sequence relevant? To determine this we have opted for an interview with a sufficient number of questions, 12 in total. The ultimate objective is to create an interview with as few as possible questions.

03.5

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