PSYCHOLOGY

Technical Field of the invention

The present disclosure generally relates to reading human psychology, and more particularly to a method and system for reading human psychology to solve business problems where humans are involved.

BACKGROUND ART OF THE INVENTION

Technology has made life of humans far easier than what it was just a few decades back. However, race to attain more material benefits has taken toll on humans more than what they have gained. Psychologists have proved globally that happy people are far more productive and create a happy company, society and country. This however remains a distant dream just because there is no help available readily to guide people on how they can be happy and be productive.

Today human psychology tests are widely conducted either through paper based evaluations or simple data systems in order to capture inputs from subjects i.e. humans or person who is undertaking the test and bring out fixed standard reports regarding behavior of the subject or person. These reports are then individually assessed by experts to suggest next steps in processing the report. Such processes practiced by hundreds of companies would typically try to solve problems like right hire, better team building, better training, etc. that similar organizational challenges that HR departments of organizations deal with. Existing products for evaluating the person are static and not scalable and also needs intervention of psychology experts or trained professionals for further processing. Moreover, they get dated soon and needs to be repeated all over again for same set of people. In most of the cases, such processes are time consuming and focused on specific problem solving and repeating the exercise is not feasible in short period of time. These products do not use technology to benefit masses, but such an approach remain in control of knowledgeable few and are very expensive for most of the organizations. This limitation creates hindrances for mass application and higher level benefits that can be derived by understanding human psychology and their fitment in their environments better for everyone.

More than Billion $500 is lost by US corporate in productivity losses due to lack of employee engagement. Failed projects, bad hire, legal issues, lack of innovation mindset and many more such clear and present issues that every company struggles today can be better handled if human psychology is effectively used. As described earlier, currently not possible for scaling up present manual solutions to even barely touch these massive issues.

Therefore, there is a need for a system and/or method, to make possible for anyone and any organization to solve complex business problems faster, cheaper and covering wider range of issues for anything that involves human involvement. This is possible due to the use of cutting edge technology using latest artificial intelligence (AI), machine learning (ML), deep learning and various other data models. The system or method should be able to refresh the data at will and keep knowledge database up to date using the AIML models. This system should create immense possibility for global corporates irrespective of their size and location to use this engine to take more informed decision and achieve multi dimensional benefits quickly, any time, at low cost and more effective. The new technique should use the principle of happiness to understand the abilities of individual and gap with respect to what they do and what are their capabilities. This when extended to a team of people can predict the organizational outcomes accurately and help create a better society.

SUMMARY

The embodiment of the present disclosure provides a method for predicting human or user behaviour or psychology. The method includes inputting user information through a user interface unit, wherein the user information comprises demographic data of the user, encrypting the user information through an encryption unit, storing the encrypted user information in a storage database unit, decrypting the user information and analysing the user information through a multi- algorithm unit and a rule engine unit and to generate a new insight data, analysing the new insight data through an interpreter analyser unit and the rule engine unit to generate a new interpretation data, and displaying the new interpreted data through an output interface unit.

In an embodiment, the new interpretation data is integrated to API, external system, etc but not limited to the embodiments mentioned herein. In an embodiment, the storage database unit comprises demographic data, domain specific data, image data, video data, audio data, real-time data, offline data, subjective data, raw data, data from various integrated systems, feedback data, usage data, etc.

In an embodiment, the storage database unit may be provided with next level of the user input as a feedback for generation of the new insight data.

The present embodiment also provides a system for predicting human or user behaviour or psychology. The system includes a user interface unit to input user information, wherein the user information comprises demographic data of the user, an encryption unit for encrypting the user information, a storage database unit for storing the encrypted user information, a multi- algorithm unit for decrypting the user information and analysing the information to a generate new insight data, an interpreter analyser unit for analysing the new insight data, a rule engine unit for analysing the user information and to generate new insight data, and analysing the new insight data and to generate a new interpretation data; and an output interface unit displaying the new interpreted data.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will be made to embodiments of the invention, examples of which may be illustrated in the accompanying figures. These figures are intended to be illustrative, not limiting. Although the invention is generally described in the context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments: FIG. 1 illustrates a high level architecture of a human behaviour predicting system in accordance with an embodiment mentioned herein;

FIG. 2 illustrates various layers of the system architecture in accordance with an embodiment mentioned herein;

FIG. 3 illustrates a use case of system integration with a software platform, for data visualization and predictive analysis of customer behavior, in accordance with an embodiment mentioned herein;

FIG. 4 illustrates a process flow of a human behaviour predicting system in accordance with an embodiment mentioned herein; and

FIG. 5 illustrates a method of a human behaviour predicting system in accordance with an embodiment mentioned herein.

Persons skilled in the art will appreciate that elements in the figures are illustrated for simplicity and clarity and may have not been drawn to scale. For example, the dimensions of some of the elements in the figure may be exaggerated relative to other elements to help to improve understanding of various exemplary embodiments of the present disclosure.

Throughout the drawings, it should be noted that like reference numbers are used to depict the same or similar elements, features, and structures. DETAILED DESCRIPTION OF THE INVENTION

Although specific terms are used in the following description for the sake of clarity, these terms are intended to refer only to the particular structure of the invention selected for illustration in the drawings, and are not intended to define or limit the scope of the invention.

References in the specification to “one embodiment” or “an embodiment” member that a particular feature, structure, characteristics, or function described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase“in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, interfaces, techniques, etc. in order to provide a thorough understanding of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. That is, those skilled in the art will be able to devise various arrangements which, although not explicitly described or shown herein, embody the principles of the invention and are included within its spirit and scope. In some instances, detailed descriptions of well-known devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail. All statements herein reciting principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure.

Thus, for example, it will be appreciated by those skilled in the art that block diagrams herein can represent conceptual views of illustrative circuitry embodying the principles of the technology. Similarly, it will be appreciated that any flow charts, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and so executed by a computer or processor, whether or not such computer or processor is explicitly shown.

The functions of the various elements including functional blocks labeled or described as "computer", "processor" or "controller" may be provided through the use of dedicated hardware as well as hardware capable of executing software in the form of coded instructions stored on computer readable medium. A computer is generally understood to comprise one or more processors, and the terms computer and processor may be employed interchangeably herein. When provided by a computer or processor, the functions may be provided by a single dedicated computer or processor, by a single shared computer or processor, or by a plurality of individual computers or processors, some of which may be shared or distributed. Such functions are to be understood as being computer-implemented and thus machine-implemented. Moreover, use of the term "processor" or "controller" shall also be construed to refer to other hardware capable of performing such functions and/or executing software, and may include, without limitation, digital signal processor (DSP) hardware, reduced instruction set processor, hardware (e.g., digital or analog) circuitry, and (where appropriate) state machines capable of performing such functions.

The embodiments of the present disclosure uses fundamental human behavior data and add up with more information as needed to provide wide ranging of solution like best hire, best team, alignment, roles and responsibility allocation, project success, customer experience management, better communication, better organizational harmony, higher productivity, improving sales, impactful marketing, better product design, managing mergers and acquisitions, partnerships, training effectiveness but not limited to the embodiments mentioned herein. All of this may be possible with data captured for an individual just once and the same can be reused in various scenarios. Power of data sciences use the data of the individuals and keep validating for accuracy of outcome and keep learning as we go.

FIG. 1 illustrates a high level architecture of a human behaviour predicting system in accordance with an embodiment mentioned herein. The system may be a combination of five different sub systems coupled together to provide an accurate behavior predictions of individual data and a group of individuals for different scenarios like‘As an employee, as a leader, as a manager, as a customer and as a partner, as a student’ and many more.

The current behavior and predict future behavior (of the individual and collective) may be understood and may provide actionable insights to most of the business problems instead of just static reports. This prediction may be done based on established psychology principles that may have been tested and proven by researchers over several decades globally. The system uses these set principles to apply them to solve practical real life problems that seemingly do not have any ready solution today. E.g. How sure is the company that when they hire they get the best people for their jobs.

The system may include four layers or engines:

a. The data collection engine

b. Data analysis engine and calculators

c. Data interpretation engine

d. User interface and integration

The present embodiment may be further fine-tuned and developed to provide more accurate & specific solutions to business problems like: system for accurate hiring, for improving company productivity, for Better customer experience management, for improving Sales, for best job selection, for better organizational alignment, for improving culture of innovation in organizations, for better team building, but not limited to the embodiments mentioned herein. Each of these use case may be developed into a separate product and improved upon with time.

The system do not need take huge amount of data of every individual but take only their key parameters once to continue predicting their behavior for life. The additional data collected may then provide with inputs to fine-tune the data interpretation. Further the system with the aid of proven psychological models and testing on large number of sample creates an interpretation that may be directly picked to create outcomes more accurately.

The information collected through the system has huge possibilities even with small sample collected of a population. This may predict the behavior traits of the population based on sample size and decisions relating to customer satisfaction, marketing, design and like, where the system data may make such decisions more enriched.

FIG. 2 illustrates various layers of the system architecture in accordance with an embodiment mentioned herein. The human psychology assessment system may have four main layers namely the data collection layer, data analysis and calculator layer, interpreter layer and user interface and integration layer. The most important part that needs to be protected and remains the heart of the system is the“Interpreter engine”. This engine may feed by lot of intelligence by using industry and psychology experts to answer hundreds of questions for a given scenario. This may bring entire intelligence of experts in the machine and predicts outcomes quickly and accurately even without the need of an expert all the time. This data continually gets validated by the collected information and the complete intelligence needs to be protected

The steps taken to create the system are as follows:

a. Problem identification - too much of machines, data and automation has taken human element out from everything right from managing employees to managing customers. There was no system of model available in market that could help understand people as people who have emotions and are governed by psychology. The proven models and theories remained confined to books and hardly any automation was ever done to make them available for masses. b. Testing the theories: Testing the proven psychology model of‘Emotional Quotient’ and‘Happiness Pyramid’ and collected data of large sample to find how the data collected actually reflected in the behaviour of the individuals. The theories at different levels were tested and got accurate results. c. Packaging & designing: After the theories were tested, designed the package that could take out the limitations of these models if automated. Then designed the layers of the system: Data collection, Data analysis & calculator, Data interpreter and Data visualization. d. Developing: developed each layer as per our engineering design and is still underway.

e. Testing: Testing the system and is still underway. f. Creating Intelligence: The exercise of making system more intelligent by creating use cases and providing data interpretation was carried out and it continues. This exercise will continue to happen as we build more and more use cases. g. Integration: This engine is now being integrated with use cases that make business sense. Customer Experience Management is one such use case that we are integrating with now.

FIG. 3 illustrates a method of data visualization and predictive analysis of customer behavior in accordance with an embodiment mentioned herein. The system may be used manually by collecting data from vast number of people, analyze individually and if then possible, try to make sense of the data for the business. By using magnitude of data, complexity, need for experts and lack of automation would limit any alternate way of usage to only small localized areas.

The human psychology assessment system has four elements. Each of them have their importance and are core to the effecting working of this invention. The most important ones however remain the Data Collection, Calculator & Data Interpretation.

The Data integration module is highly important for making the system useful to solve specific business cases like“Customer Experience Management”.

This invention may be further fine-tuned and developed to provide more accurate & specific solutions to business problems like: for accurate hiring, for improving company productivity, for Better customer experience management, for improving Sales, for best job selection, for better organizational alignment, for improving culture of innovation in organizations, for better team building but not limited to the embodiments mentioned herein. FIG. 4 illustrates a process flow of a human behaviour predicting system in accordance with an embodiment mentioned herein. The user or the human undertaking the test inputs his/her data. The data collected by the system may be encrypted and stored in a database.

The data may be then decrypted and used by several program or algorithm to generate new insight on the data. The insight data may be then analysed by an interpreter algorithms to generate new interpretation data. This new interpretation data may be then integrated at integration layer combined with the outcome from the rule engine.

The interpreted data may be then displayed at the output interface to determine the personality of the human being who has taken the test. The result is completely automated and interpreted depending on the rule engine, machine learning and AI. Now, if the user or the human being who has already taken the test need not fill all the details which he had already filled during first instance instead he/she may fill only those details which are different from first depending on the type of test taken.

FIG. 5 illustrates a method of a human behaviour predicting system in accordance with an embodiment mentioned herein. The method includes in step 502 inputting user information through a user interface unit 402. In step 504, encrypting the user information through an encrypting unit 404. In step 506, storing the encrypted user information in a storage database unit 404.

In step 508, decrypting the user information and analysing the information through a rule engine 409 and a multi-algorithm unit 406 to generate a new insight data. In step 510, analysing the new insight data through an interpreter analyser unit 406 and the rule engine 409 to generate a new interpretation data. In step 512, displaying the new interpreted data through an output interface unit 410.

This new detail along with old will help to collate the results of both to determine the personality of the person taking the test. Thus this system provides holistic approach in determining persons psychology and character traits.

Compared to what the system disclosed in the present embodiment can achieve, existing processes are largely manual, static, not scalable, expensive and capable of suggesting solutions to only one problem. Human psychology based solutions in customer experience, sales, marketing, product design and many more high demand area are not existing.

Through the present system and/or method, aids anyone and any organization to solve complex business problems faster, cheaper and covering more wider range of issues for anything that involves human involvement. This is possible due to the use of cutting edge technology using latest artificial intelligence (AI), machine learning (ML), deep learning and various other data models. The system or method may be able to refresh the data at will and keep knowledge database up to date using the AIML models.

FIGS. 1-5 are merely representational and are not drawn to scale. Certain portions thereof may be exaggerated, while others may be minimized. FIGS. 1-5 illustrate various embodiments of the invention that can be understood and appropriately carried out by those of ordinary skill in the art.

While various embodiments have been illustrated and described, as noted above, changes can be made without departing from the disclosure. The accompanying drawings that form a part hereof show by way of illustration, and not of limitation, various embodiments in which the subject matter may be practiced. The embodiments illustrated are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed herein. Other embodiments may be utilized and derived there from.

This Detailed Description, therefore, is not to be taken in a limiting sense. Although specific embodiments have been illustrated and described herein, it should be appreciated that any arrangement calculated to achieve the same purpose may be substituted for the various embodiments shown. Furthermore, although the various embodiments have described redundant signal transmission systems, it is understood that the various embodiments may be employed in a variety of known electronic systems and devices without modification. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those skilled in the art upon reviewing the above description.