Abstract: Embodiments describe an approach to monitoring user health data. Determining if the user is having an emergency based on the user health data. Responsive to determining the user is having an emergency the user's location. Identifying one or more available parking spaces based on the user's location, and outputting locations of one or more available parking spaces to the user.

Abstract: Embodiments provide an automated participation evaluator, wherein processors are configured to evaluate participation of meeting attendees with respect to performance criteria including participation criteria and deliverable contribution criteria; populate object fields associated to ones of the performance criteria and attendees with values representing a quality of performance of the associated attendees relative to the associated performance criteria; notify the attendees of the populated object field values in response to determining that time for evaluating participation of the attendees with respect to performance criteria has not elapsed; update the populated object field values via reevaluating participation of the attendees in response to the notifying of the attendees of the populated values; and reward the attendees with reward values selected as a function of the updated, populated values, in response to determining time for evaluating the participation of the attendees with respect to each of the

Abstract: Embodiments provide an automated participation evaluator, wherein processors are configured to evaluate participation of meeting attendees with respect to performance criteria including participation criteria and deliverable contribution criteria; populate object fields associated to ones of the performance criteria and attendees with values representing a quality of performance of the associated attendees relative to the associated performance criteria; notify the attendees of the populated object field values in response to determining that time for evaluating participation of the attendees with respect to performance criteria has not elapsed; update the populated object field values via reevaluating participation of the attendees in response to the notifying of the attendees of the populated values; and reward the attendees with reward values selected as a function of the updated, populated values, in response to determining time for evaluating the participation of the attendees with respect to each of the

Abstract: Embodiments describe an approach to monitoring user health data. Determining if the user is having an emergency based on the user health data. Responsive to determining the user is having an emergency the user's location. Identifying one or more available parking spaces based on the user's location, and outputting locations of one or more available parking spaces to the user.

Abstract: A method for modifying an application behavior based on a plurality of user specific data is provided. The method may include receiving a plurality of user specific data. The method may also include storing the received plurality of user specific data in a database. The method may further include determining a user mood based on the stored plurality of user specific data. The method may also include transmitting an action to an application corresponding to the determined user mood.

Abstract: A method for modifying an application behavior based on a plurality of user specific data is provided. The method may include receiving a plurality of user specific data. The method may also include storing the received plurality of user specific data in a database. The method may further include determining a user mood based on the stored plurality of user specific data. The method may also include transmitting an action to an application corresponding to the determined user mood.

Abstract: A method for voice pattern coding and catalog matching. The method includes identifying a set of vocal variables for a user, by a voice recognition system, based, at least in part, on a user interaction with the voice recognition system. The method further includes generating a voice model of speech patterns that represent the speaking of a particular language using the identified set of vocal variables, wherein the voice model is adapted to improve recognition of the user's voice by the voice recognition system. The method further includes matching the generated voice model to a catalog of speech patterns, and identifying a voice model code that represents speech patterns in the catalog that match the generated voice model. The method further includes providing the identified voice model code to the user.

Abstract: A computer for managing textual content of phrases where the computer determines if a phrase is entered into a first field in a display, wherein the phrase contains textual content. The computer determines if a portion of the textual content of the phrase is present in a phrase dictionary, wherein the phrase dictionary contains textual content of one or more topics. Responsive to determining that the portion of the textual content of the phrase is not present in the phrase dictionary, the computer determines to not enter the portion of the textual content of the phrase in a second field of the display.

Abstract: A computer for managing textual content of phrases where the computer determines if a phrase is entered into a first field in a display, wherein the phrase contains textual content. The computer determines if a portion of the textual content of the phrase is present in a phrase dictionary, wherein the phrase dictionary contains textual content of one or more topics. Responsive to determining that the portion of the textual content of the phrase is not present in the phrase dictionary, the computer determines to not enter the portion of the textual content of the phrase in a second field of the display.

Abstract: A qualitative resource assignment wizard receives qualitative information for a logical partition (LPAR) and calculates computer resource assignments for the LPAR based on the qualitative information and a set of conversion functions. For example, the qualitative resource assignment wizard may calculate a processing unit assignment, a memory assignment, and an I/O slot assignment for the LPAR. The qualitative information may be input by a user, for example, utilizing a graphical user interface (GUI). In one embodiment, the conversion functions are calculated during a training phase, in which a user periodically provides qualitative information while resource usage data is gathered. The wizard may reside in a hardware management console (HMC) or other administrative console and/or may be a component of a hypervisor or other partition management code.

Abstract: A qualitative resource assignment wizard receives qualitative information for a logical partition (LPAR) and calculates computer resource assignments for the LPAR based on the qualitative information and a set of conversion functions. For example, the qualitative resource assignment wizard may calculate a processing unit assignment, a memory assignment, and an I/O slot assignment for the LPAR. The qualitative information may be input by a user, for example, utilizing a graphical user interface (GUI). In one embodiment, the conversion functions are calculated during a training phase, in which a user periodically provides qualitative information while resource usage data is gathered. The wizard may reside in a hardware management console (HMC) or other administrative console and/or may be a component of a hypervisor or other partition management code.