Abstract: Provided are a computer system for automatically searching for a mental disorder diagnosis protocol and an method thereof that may determine at least one test region to be examined for a predetermined mental disorder diagnosis in a brain image of a patient based on a first artificial neural network, may determine a test process for the mental disorder diagnosis for the patient based on a second artificial neural network, and may provide a test protocol for the mental disorder diagnosis for the patient based on the test region and the test process. The computer system may visualize at least one of a position, a shape, a size, and an importance of the test region in the brain image. The test process may include test order of a plurality of test stages in which the brain image is to be used for the mental disorder diagnosis.

Abstract: A method, computer program product, and system includes a processor(s) utilizing the image capture device to track eye movements of a user interacting with a display communicatively coupled to the one or more processors, the image capture device continuously collecting image data. The processor(s) determines, based on analyzing the collected image data, a probability of whether a user may be experiencing a vision-related issue. Based on the probability being within a given pre-determined range, the processor(s) identifies the vision-related issue experienced by the user. The processor(s) generates, based on the vision-related issue, a two dimensional visual exercise to address the vision-related issue for performance by the user. The processor(s) deploys a graphical user interface to the display, where the graphical user interface comprises the visual exercise. The processor(s) provides the visual exercise to the user via the graphical user interface.

Abstract: Embodiments of the invention relate generally to systems, methods, and apparatus for assessing consumer perception of business features, such as brands, products, and services. A graphical user interface presents a consumer with a prime associated with the business feature. The graphical user interface presents a target to be sorted by the consumer. An instruction from the consumer is received (via a user input device) to sort the target into a bin presented on the graphical user interface. Consumer response data associated with the instruction from the consumer is generated and, based on the consumer response data, the consumer's perception of the business feature is assessed.

Abstract: A system and various methodologies provide the ability to analyze qualifications and capabilities of one or more candidates for employment.

Abstract: An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.

Abstract: A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

Abstract: A system includes wearable devices positioned on a subject in different locations. Each wearable device includes motion sensors that measure the subject's movement in three dimensions. The motion sensors generate raw sensory data as the subject performs a physical movement. A data filter is selected based on a condition of the subject and a designated movement corresponding to the physical movement, and used to convert the raw sensory data into formatted data. A level of compliance of the physical movement with a movement model for the designated movement is determined by applying comparative modeling techniques to the formatted data and the movement model. Real-time feedback is delivered dynamically to the subject by the wearable devices during the performance of the physical movement based on the level of compliance. The movement model can be generated, and the comparative modeling techniques can be selected, based on the condition of the subject.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a transfer option for transferring a call. One of the methods include receiving, by a call assistant engine, a keyword related to information provided by a user to an agent during a call; generating, by the call assistant engine, follow-up questions to be displayed on a user device of the agent in an interactive format, the first follow-up question being generated based on the keyword, each of the following follow-up questions being generated based on an answer of the agent to the previous question; and determining, by the call assistant engine, based on answers of the agent to the follow-up questions, a transfer option for transferring the call.

Abstract: Automated content switching rules may be generated and/or utilized for automatically switching away from certain interactive content during presentation of that interactive content when one or more switch conditions are met. In some instances, automated content switching rules may define one or more non-temporal switch conditions, e.g., based upon reaching certain points or milestones in certain interactive content, that may be used to initiate actions that switch away from the interactive content. In addition, in some instances, automated content switching rules may be used to not only switch away from particular interactive content, but additionally switch to other interactive content, thereby enabling a user to effectively schedule a workflow across different interactive content, applications and/or other computer-related tasks.

Abstract: A system and a method for identifying and ranking agents are disclosed herein. The system includes an analytics engine which retrieves information from external and internal databases. The analytics engine uses the information retrieved from these databases, in addition to one or more success factors or key attributes, to identify and rank prospective agents. The analytics engine can also match one or more prospective agents with a general agent and provide ranking and performance assessment reports for evaluating and following up on the agent’s career development.

Abstract: A method and system for neuro-feedback training are disclosed. According to certain embodiments, the method may include receiving, by a processor via a communication network, a brainwave signal measured by at least one sensor attached to a user. The method may also include determining, by the processor, a frequency distribution of the brainwave signal. The method may also include determining, by the processor, a reward in a video game when at least one first value indicative of an amount of the brainwave signal within a first frequency band meets a first criterion. The method may further include providing, to the user, a first feedback signal indicative of the reward.

Abstract: Systems, computer-implemented methods, and/or computer program products facilitating a process to identify and respond to a primary electronic message are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a determination component can determine that a primary electronic message has not received a response electronic message. An analysis component can generate a generated electronic message addressing the informational or emotional content of the primary electronic message. In one or more embodiments, an updating component can update the analytical model based on one or more feedbacks to the generated electronic message, where the analytical model can remain active while being updated.

Abstract: Provided is a method for predicting a PTSD diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive PTSD diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive PTSD diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a PTSD diagnosis in the patient based on the audio input data and the clinical assessment data.

Abstract: A computing system for interacting with a user comprises a processor and a memory storing executable software which, when executed by the processor, causes the processor to commence an interactive session with a user, receive input data from the user during the interactive session, analyze the received input data and output a response to the user to continue the interactive session with the user. The processor, prior to outputting the response, identifies one or more topics from the received input data, ascertains a tone of the received input data, generates a mirroring prompt based on the ascertained tone of the received input data, and output to the user the generated mirroring prompt. The processor outputs the mirroring prompt to the user during the interactive session to cause an increase in a level of engagement of the user with the interactive session.

Abstract: Systems and methods for learning differentially private machine-learned models are provided. A computing system can include one or more server computing devices comprising one or more processors and one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors cause the one or more server computing devices to perform operations. The operations can include selecting a subset of client computing devices from a pool of available client computing devices; providing a machine-learned model to the selected client computing devices; receiving, from each selected client computing device, a local update for the machine-learned model; determining a differentially private aggregate of the local updates; and determining an updated machine-learned model based at least in part on the data-weighted average of the local updates.

Abstract: A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Abstract: Computer implemented system and methods are provided for evaluating the effectiveness of personalized automated teller machines. In some embodiments, the system may include a camera, an automated teller machine comprising a user interface based on a user profile and at least one server geographically remote from the automated teller machine. The server may be configured to receive a recorded user interaction, receive transaction data, determine an emotion state, extract environmental data, determine a quality indicator for the recorded user interaction, update a user profile, and transmit to the automated teller machine the updated user profile.

Abstract: A cognitive training method having a processor to store exercise category data which has a number of task data, each of the task data including levels of difficulty. There is included a visual display and an audio transducer and a user interfaces actuated to accept user data in response to a selected task. The user data is sent from the user interface to the processor and the processor stores and evaluates the user input data and based upon evaluation of the user input data, adjusts a subsequent level of difficulty associated with a selected task. If user input data is above a correct data threshold, the level of difficulty may be adjusted responsive to an evaluation of the user input data.

Abstract: Dynamically adjustable EDA measurement device may include: a dynamically formable base comprising a soft robotics material, wherein the dynamically formable base comprises a formable surface configured to be dynamically formed in response to input signals; and an EDA sensing layer affixed to the formable surface of the dynamically formable base, the EDA sensing layer comprising a plurality of electrodes arranged on a flexible substrate and configured to be connected to a power supply; wherein, in response to input signals, the formable surface of the dynamically formable base and the EDA sensing layer affixed thereto are reformed into a desired contour.

Abstract: A system and method for providing recommendations for a workout by a user. The system includes a workout engine configured to select the workout for the user based on user input and/or historical data, and one or more data sources, each of the one or more data sources providing information associated with the user and/or the workout. The system further includes a recommendation engine configured to receive the information associated with the user and/or the workout from the one or more data sources, and to generate one or more recommendations about the workout and/or the user before, during and/or after the workout by the user, the one or more recommendations being configured to optimize the performance of the workout by the user.

Abstract: Systems, devices, apparatus, methods, and computer-readable storage media for developmental assessment using eye tracking are provided. In one aspect, a system for development assessment via eye tracking includes: a patient-side computing device having a screen for presenting visual stimuli to a patient, an eye-tracking device integrated with the patient-side computing device and configured to collect eye-tracking data of the patient while the visual stimuli are presented to the patient on the screen of the patient-side computing device, and an operator-side computing device configured to present a user interface for an operator to communicate with the patient-side computing device.

Abstract: A secure education system including a secure education application, an education content database and a student profile database having a plurality of student profiles that include identification data that identifies a person associated with the student profile and evaluation data that valuates an academic proficiency of the person. The application both providing and dynamically adjusting the educational content based on an associated student profile of a user as well as securely determining the identity of the user in order to validate interactions of the user with the educational content. The verified identity and academic proficiency of a person can be compiled into an academic profile and submitted to academic institutions to support the user as a candidate for admissions.

Abstract: The embodiments disclose a method including using an on-demand roleplay network with internet connectivity to role playing study materials and real-time role playing sessions, connecting an on-demand roleplay application installed on role playing participant digital devices with the on-demand roleplay network to facilitate role playing partners real-time practice sessions, incorporating an artificial intelligence communicator coach analyzer with the on-demand roleplay network to provide role playing participants with nonverbal communication analysis and coaching, and providing role playing participants with a means to rate live practice sessions including the nonverbal communication skills.

Abstract: A sensor apparatus may include a conduit structure including an inner surface defining a conduit extending through an interior of the conduit structure, an inlet structure coupled to an end of the conduit structure, and a plurality of sensor devices in hydrodynamic contact with the conduit. The inlet structure may couple with an outlet end of an external tobacco element to hold the outlet end of the external tobacco element in fluid communication with an inlet opening of the conduit structure, such that the conduit structure may receive a generated aerosol from the external tobacco element at the inlet opening, and draw an instance of aerosol through the conduit towards an outlet opening. The instance of aerosol may include at least a portion of the generated aerosol. Each sensor device may generate sensor data indicating a pressure of the instance of aerosol through a separate portion of the conduit.

Abstract: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.

Abstract: A guidance system for guiding insertion of a needle into a body of a patient utilizes ultrasound imaging or other suitable imaging technology. The guidance system can include an imaging device including a probe for producing an image of the internal body portion target, such as a blood vessel. The imaging device can be configured to provide at least one indication of status via sensory feedback based on a determined position of the needle, for example via a plurality of light-emitting diodes located on the device. One or more sensors can be included with the probe that can sense a magnetic field associated with the needle. The system may include a processor that can receive magnetic field data sensed by the at-least-one sensor to determine the position of the needle. The system can also include a display that depicts the determined position of the needle.

Abstract: Health care information for multiple patients is processed to classify patients into categories. Additional data fields related to a category in which a patient is classified are added to the patient record. These data fields are populated in part by automatically processing the existing patient data. Such automatic processing can result in a probability that the underlying data supports having a particular value stored in one of the added data fields, and this probability also can be stored. Over time, additional data can be obtained from patients, caregivers and other sources, for structured data fields based on data entry forms for patient reported outcomes, caregiver reported outcomes, events of interest, survival and resource utilization. A set of factor scores is computed for each patient, for each category in which the patient is classified.

Abstract: Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.

Abstract: Systems and methods for computer-implemented patient assistance are disclosed. In certain embodiments, the invention contemplates receiving patient data from plurality of sensors at a patient computer, transmitting patient data to a server, monitoring and analyzing the patient data at the server, and outputting recommended actions from the server to a personnel computer. The recommended actions are calculated based on safety considerations, emotional considerations, and/or a patient's treatment plan.

Abstract: The present disclosure provides a method of user clustering, and the method includes: acquiring a clustering condition for a predetermined user group, wherein the clustering condition includes a time selecting condition and an event selecting condition; determining at least one target time period for each user behavior data in a user behavior database based on the time selecting condition; determining association data indicating a relationship between the each user behavior data and each target time period based on the each user behavior data and the each target time period; and selecting target association data for a time period to be monitored based on the time period to be monitored and the event selecting condition, so as to determine a target user belonging to the predetermined user group according to the target association data. The present disclosure also provides an apparatus of user clustering, a computer device and a non-transitory medium.

Abstract: Methods and systems for processing subjective queries are described. A query is received from a user. The method involves determining whether the query is subjective. In response to determining that the query is subjective, a plurality of people qualified to answer the query are identified. Moreover, a subset of the plurality of people who are available to answer the query are identified, and the query is transmitted to the subset of people available to answer the query. The received responses to the transmitted query from each of the people in the subset are then generated for display.

Abstract: The present disclosure relates to processing operations configured to provide processing that automatically analyzes acoustic signals from attendees of a live presentation and automatically triggers corresponding reaction indications from results of analysis thereof. Exemplary reaction indications provide feedback for live presentations that can be presented in real-time (or near real-time) without requiring a user to manually take action to provide any feedback. As a non-limiting example, reaction indications may be presented in a form that is easy to visualize and understand such as emojis or icons. Another example of a reaction indication is a graphical user interface (GUI) notification that provides a predictive indication of user intent derived from analysis of acoustic signals.

Abstract: Systems and methods for customizing an output based on user data are described herein. An example method for customizing an output based on user data may commence with continuously capturing, by at least one sensor, the user data. The method may continue with analyzing, by at least one computing resource, the user data received from the at least one sensor and determining dependencies between the user data and output data. The method may further include determining, based on predetermined criteria, that an amount of the user data and the dependencies is sufficient to customize the output data. The method may continue with continuously customizing, by an adaptive interface, the output data using at least one machine learning technique based on the analysis of the user data. The customized output data may be intended to elicit a personalized change.

Abstract: A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.

Abstract: Systems, methods, and apparatuses for facilitating augmented reality (AR) rewards are described herein. The system includes a sensor network configured to transmit and receive sensor data within an environment. A first user device associated with a first user and a second user device associated with a second user are configured to communicate with the sensor network and determine a position and an entity positioning characteristic of the first user and the second user, respectively. A computing device is configured to receive the sensor data including the position and entity position characteristics of the first and second users. The computing device is also configured to determine a behavior of the first and second users based on the received data. The computing device is also configured to generate a plurality of reward tokens. Each of the reward tokens is associated with a behavior characteristic.

Abstract: One embodiment provides a method, including: detecting, at an electronic device, an event has occurred; detecting, using a device sensor, that the electronic device is proximate to at least one other person; accessing, in a storage location, a rule set including a rule regarding the detecting that the electronic device is proximate to at least one other person; identifying, using a processor of the electronic device, a type of notification for the event based on the rule set; and providing, using an output device of the electronic device, a notification of the type identified. Other aspects are described and claimed.

Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.

Abstract: An example method includes obtaining user consent to collect and make use of personal information for providing behavioral coaching; obtaining contextual and fitness related information of a user; determining, by inputting the contextual and fitness related information into a model that defines a motivational state, a current motivational state of the user; determining, based at least in part on the current motivational state of the user, a type of information to output as part of the behavioral coaching, wherein the type of information is selected from a group comprising education information, inspirational information, and achievement information; determining, based on the type of information to output, a channel for outputting the type of information as part of the behavioral coaching; and outputting, by the computing device, via the channel, a notification including content of the type of information.

Abstract: A processor based input system is provided for automatically determining the cognitive assessment of a human as an input source to a processor based automated system configured for use in a human-machine team. In some embodiments, the processor based input system comprises an input device, a cognitive assessment input system (CAIS) and a processor based automated system. In some embodiments the CAIS comprises an interaction data acquisition module configured to receive input data from the input device as interaction data, a cognitive indicators and work patterns analysis module configured to determine a cognitive measure from the interaction data, an intervention building module configured to determine automation directives for a processor based automated system from the cognitive measure and the automated system is configured to receive and execute automation directives from the CAIS as an input source to the processor based automated system.

Abstract: Apparatus and methods are provided for enabling a sensor device to receive and transmit updates effectively via one or more rules applied to a plurality of event records for transmission by an event management server. In one exemplary embodiment, the event management server manages the plurality of event records (such as records of deletions or updates to a user's profile or goals), via an event suppression application. The event suppression application ensures that event records are not redundantly provided to the sensor device and/or irrelevant records (such as those which no longer contain the most up-to-date information) are not provided to the sensor device. Hence, only the most relevant event records are provided and that those which are not relevant are ignored (not transmitted). In this manner, the sensor device may operate more efficiently to receive only the most relevant transmissions.

Abstract: A method for dynamically allocating server resources includes receiving a request from a client system, wherein the request comprises a request for a first set of streaming data, providing from the server to the client system a first portion of streaming data from the first set of streaming data, wherein the first portion is associated with a first quality of service level, receiving user activity data from the client system for the first portion of the streaming data, determining a second quality of service level for a second portion of the streaming data from the first set of streaming data, providing from the server to the client system the second portion of streaming data from the first set of streaming data, wherein the second portion provided with the second quality of service level, and wherein the first quality of service level is different from the second quality of service level.

Abstract: Various embodiments provide systems and methods for identifying impairment using measurement devices.

Abstract: A subject's Default Mode Network is accessed through corresponding measurements of the Micro-Coherence Oximetry Network Strength (MCO-S). An associated MCO-S system (100) includes a wearable (102), a user device (112) and a processing platform (123). The wearable (102) collects subject information sufficient to enable monitoring and optimization of the subject's Default Mode Network include sensors such as pulse oximetry instrumentation and EEG electrodes to obtain brainwave data, oxygen saturation data, heart rate variability data, and galvanic skin conductance data. Information from the sensors may be communicated to a user device (112), such as a cell phone or VR headset. The user device (112) communicates with a remote processing platform (123) that may execute artificial intelligence functionality and other logic in connection with assessing the patient's micro-coherence network strength and optimizing behavior modification protocols in relation to attributes and objectives of the subject.

Abstract: There is a need for solutions that monitor memory loss with reduced caretaker involvement. This need can be addressed by, for example, selecting a first question from a group of multiple questions to ask a user of a computing device based one or more attributes associated with each question in the group of multiple questions; receiving a first answer by the user of the computing device to the first question; determining, from the first answer, one or more behavioral attributes associated with user response to the first question; and determining, based on the one or more behavioral attributes, a cognitive capability of the user of the computing device.

Abstract: The present invention relates to methods and pharmaceutical compositions for the treatment of post-operative cognitive dysfunction. In particular, the present invention relates to a method of treating post-operative cognitive dysfunction in a subject in need thereof comprising administering to the subject a therapeutically effective amount of an APJ receptor agonist.

Abstract: The system and method herein provide immersive training using virtual reality technologies used to provide any desired type of immersive training. The training may focus on sexual harassment issues. Some training may focus on the “feeling” of the situation, and it has been found that virtual reality environments described herein provide a particularly effective way of training on the feeling of the situation and related issues in the sexual harassment context.

Abstract: A system and method for a multi-stage brain-computer interface training using neural networks that reliably and predictably maps a user's thoughts to particular movements or actions in a computer-generated environment. The system comprises two stages: a pre-training stage, wherein specific exercises are generated on screen, and the brain activity is mapped to the exercises using a neural network as the user attempts to complete the exercises, and an in-use stage, wherein an initial mapping profile is loaded, brain activity is mapped to in-use interactions using a neural network, and those in-use mappings are compared to a library of stored mappings using a neural network to select a more accurate mapping for use in a given situation.

Abstract: A device, a system and a method for a patient attempting to quit smoking such that the program is configured to cause a computer to execute the steps of: receiving, from a patient-side electronic device, patient's understanding information indicative of the patient's understanding about a smoking-related matter, which is input by the patient, at a patient's understanding information acquisition timing decided based on at least one of an input of information indicative of a current patient's condition and smoking cessation-related health-care history information; deciding, based on the received patient's understanding information and correct response information for the smoking-related matter, whether or not the patient's understanding is incorrect; and, when decided to be incorrect, transmitting, to the patient-side electronic device, cognitive-behavioral therapy (CBT) information based on the correct response information, wherein the CBT information includes information deemed to be correct with respect to t

Abstract: System and method for digitized digit symbol substitution test (DSST) are disclosed. In an example, a display area of a digitized DSST device is partitioned into multiple bins. Further, a series of number symbol pairs is displayed as a lookup table on top of the display, termed as a lookup area. Furthermore, a question and answer (QA) pair corresponding to the series of number symbol pairs to an examinee in multiple trials. In addition, feature values for the QA pair are computed in each of the multiple bins in the trials, wherein the feature values comprise a response time and an accuracy of response by the examinee. Moreover, probabilities of the feature values are determined in each of the multiple bins. Also, an entropy value based on the probabilities of the feature values is computed in each of the multiple bins providing information on distribution.

Abstract: A system for improving personality traits is provided. The system includes at least one processor configured to provide an option to a user for selecting at least one personality trait from a plurality of personality traits. The processor is also configured to suggest at least one alternate personality trait for selection based on the personality trait selected by the user, and allow selection of at least one of the suggested alternate personality traits or proceed with the earlier selection. The processor is further configured to suggest one or more actions based on the personality trait selected by the user, wherein the action is to cause an improvement in the selected personality trait of the user.