Abstract: One example of a computer-implemented method comprises receiving content data for a first physical note removably attached to a first display area of a first collaborative board located in a first location. The content data includes information displayed on the first physical note. The method further comprises determining a position of the first physical note on the first collaborative board; and outputting instructions to a second collaborative board located in a second location to generate a first virtual note in a second display area of the second collaborative board such that information displayed on the first virtual note corresponds to the information displayed on the first physical note and a position of the first virtual note on the second display area corresponds to the position of the first physical note on the first collaborative board.

Abstract: In an approach for a user research cognitive assistant for matching personas and providing experience insights, a processor receives persona data based on user experience to be modeled. A processor receives interview data associated with research candidates. A processor identifies one or more target candidates based on a match between the persona data and the interview data. A processor monitors the one or more target candidates for the match during an interview. A processor generates an insight with data synthesis identifying an experience level of the one or more target candidates. A processor determines a need of additional recruitment based on the insight and the persona data.

Abstract: Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Abstract: Disclosed embodiments provide improvements in this technical field by utilizing a digital twin (DT) in a virtual reality (VR) environment. A digital twin is created of a product to be assessed in a normal setting (e.g. an automobile on a highway, an appliance in a kitchen, etc). The individual then uses the product in the digital twin virtual reality environment (DTVRE). During interaction, positive and negative experiences are tagged for later evaluation. Additionally, a person's activities with similar products in a physical environment are monitored using IoT (Internet of Things) sensors. During interactions, sensor data is collected. Embodiments compare the sensor data acquired in the physical environment (PE) and the digital twin virtual reality environment (DTVRE). For the product being used in the digital twin virtual reality environment (DTVRE), embodiments estimate, using the collected data, how the product will perform in a physical environment (PE).

Abstract: Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Abstract: One example of a computer-implemented method comprises receiving content data for a first physical note removably attached to a first display area of a first collaborative board located in a first location. The content data includes information displayed on the first physical note. The method further comprises determining a position of the first physical note on the first collaborative board; and outputting instructions to a second collaborative board located in a second location to generate a first virtual note in a second display area of the second collaborative board such that information displayed on the first virtual note corresponds to the information displayed on the first physical note and a position of the first virtual note on the second display area corresponds to the position of the first physical note on the first collaborative board.

Abstract: A system and computer-implemented method are provided for enabling an audio interface enhanced autocorrect feature in a mobile device. The method includes detecting activation of an autocorrect feature of a mobile device in response to a portion of text not appearing in a system dictionary, enabling a microphone in response to activation of the autocorrect feature, receiving audio input from a user responsive to a word replacement by the autocorrect feature, and implementing an enhanced autocorrect action based on the audio input.

Abstract: A method and system for using target audience based attributes for modifying an electronic dictionary is provided. The method includes detecting a communication application being enabled via an electronic device. In response, electronic communications of a user are monitored and analyzed with respect to the electronic device and user attributes. Linguistic patterns associated with the electronic communications are determined and with respect to additional electronic communications of said user and a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Abstract: A method and system for using vocal patterns of a user for modifying an electronic dictionary is provided. The method includes continuously retrieving vocal communications of a user and converting the vocal communications into text data. Common terms communicated by the user are selected from the text data and resulting linguistic patterns are determined. In response, a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Abstract: A method of batch processing that includes registering item types to be processed by a batch management system including care instructions for the item types; recording batch items being added to a batch processing machine; and determining compatibility of at least one of each of said batch items being added to the batch processing machine to a total batch with an item to be processed to registered item match generator of said batch management system. Determining compatibility includes matching at least one of each item being added to the batch processing machine to the care instructions of the registered item types. The method may further include reporting compatibility of at least one of each item being added to the batch processing machine.

Abstract: A method of batch processing that includes registering item types to be processed by a batch management system including care instructions for the item types; recording batch items being added to a batch processing machine; and determining compatibility of at least one of each of said batch items being added to the batch processing machine to a total batch with an item to be processed to registered item match generator of said batch management system. Determining compatibility includes matching at least one of each item being added to the batch processing machine to the care instructions of the registered item types. The method may further include reporting compatibility of at least one of each item being added to the batch processing machine.

Abstract: A system and computer-implemented method are provided for enabling an audio interface enhanced autocorrect feature in a mobile device. The method includes detecting activation of an autocorrect feature of a mobile device in response to a portion of text not appearing in a system dictionary, enabling a microphone in response to activation of the autocorrect feature, receiving audio input from a user responsive to a word replacement by the autocorrect feature, and implementing an enhanced autocorrect action based on the audio input.

Abstract: A method and system for using target audience based attributes for modifying an electronic dictionary is provided. The method includes detecting a communication application being enabled via an electronic device. In response, electronic communications of a user are monitored and analyzed with respect to the electronic device and user attributes. Linguistic patterns associated with the electronic communications are determined and with respect to additional electronic communications of said user and a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Abstract: A method and system for using vocal patterns of a user for modifying an electronic dictionary is provided. The method includes continuously retrieving vocal communications of a user and converting the vocal communications into text data. Common terms communicated by the user are selected from the text data and resulting linguistic patterns are determined. In response, a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Abstract: A cognitive Web browser detects that a user is viewing a Web page. The system captures contextual data that identifies the user, the Web page, temporal information, and the user's computer, location, and browser. Using artificially intelligent cognitive analytics, the system correlates the contextual data with patterns inferred from the user's past browsing habits to predict which page the user may want to view next and the paths to each of those destination. The system ranks each page on each path by its probability of being selected and displays the ranked pages as a dynamic hyperlinked list. The user may directly navigate to any of displayed pages with a single selection from the list. The contextual information, the dynamic list, and the user's selection are forwarded to a machine-learning application that uses the forwarded information to train the system to more accurately predict the user's future navigational preferences.