Abstract: A computer-implemented method according to one embodiment includes analyzing an image stored on a device. In response to determining that a storage consumption of the device is greater than a first predetermined threshold, content of the image that is both non-focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both non-focused and that is not of interest, is greater than a second predetermined threshold, content of the image that is both focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both focused and that is not of interest, is greater than the second predetermined threshold, content of the image that is both focused and that is of interest is selectively compressed.

Abstract: A method, computer system, and a computer program product for interest-based digital content caching is provided. Hints regarding content of interest associated with a user are determined and used to identify portions of streaming media that are uninteresting to the user. Then the streaming media is played for the user and a portion of the post-uninteresting content is stored in a child cache before the portion of uninterest is played.

Abstract: A computer-implemented method according to one embodiment includes classifying an image stored on a device as a type of image. A user's access pattern of other images also classified as the type of image is analyzed. The method further includes analyzing at least one sharing medium that the user has previously used to share the image and/or other images. The analyzing the at least one medium is at least in part based on the classified type of the image. A previously recorded delete pattern of the user is analyzed. The analyzing the previously recorded delete pattern of the user is at least in part based on the classified type of the image. Based on the classified type of the image and/or based on results of the analyses, the image is categorized to one of a plurality of image compression categories. Each category corresponds to a degree of image compression.

Abstract: A method, system, and computer program product for limiting the amount of electromagnetic frequency emissions from a mobile device in a time of high anxiety. The method may include determining whether a user is awaiting a first notification on a mobile device. The method may also include estimating an anxiety level of the user based on the determining. The method may also include determining whether the anxiety level is above a threshold anxiety level. The method may also include calculating, in response to determining that the anxiety level is above the threshold anxiety level, a ping-pong rate for the mobile device. The method may also include reducing the ping-pong rate.

Abstract: Embodiments for managing mobile electronic devices are described. At least one user-device interaction characteristic associated with a first mobile electronic device having a first set of hardware attributes is received. The operation of a second mobile electronic device having a second set of hardware attributes is tuned based on one or more of the at least one of the user-device interaction characteristics, a comparison of the first set of hardware attributes and the second set of hardware attributes, or a combination thereof.

Abstract: A method, system, and computer program product for limiting the amount of electromagnetic frequency emissions from a mobile device in a time of high anxiety. The method may include determining whether a user is awaiting a first notification on a mobile device. The method may also include estimating an anxiety level of the user based on the determining. The method may also include determining whether the anxiety level is above a threshold anxiety level. The method may also include calculating, in response to determining that the anxiety level is above the threshold anxiety level, a ping-pong rate for the mobile device. The method may also include reducing the ping-pong rate.

Abstract: A computer-implemented method according to one embodiment includes analyzing an image stored on a device. In response to determining that a storage consumption of the device is greater than a first predetermined threshold, content of the image that is both non-focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both non-focused and that is not of interest, is greater than a second predetermined threshold, content of the image that is both focused and that is not of interest is selectively compressed. In response to determining that the storage consumption subsequent to selectively compressing content of the image that is both focused and that is not of interest, is greater than the second predetermined threshold, content of the image that is both focused and that is of interest is selectively compressed.

Abstract: Provided are a computer program product, system, and method for classifying a digital speech sample of a call to determine routing for the call. A digital speech sample of a call agent is processed to categorize speech as having an agent speech attribute. Information is received on a caller speech attribute initiating a call to the call center. The caller speech attribute results from categorizing a caller digital speech sample of the caller as having the caller speech attribute. A call agent of call agents having a call agent speech attribute that matches the caller speech attribute is selected and the call is routed to the selected call agent to process the call.

Abstract: Embodiments are disclosed for reducing audio syndrome content. The techniques include generating a listener profile. The listener profile includes data associated with content that induces an audio syndrome for a listener. The techniques include determining that current content includes content that induces the audio syndrome for the listener. A trained audio syndrome predictor makes the determination based on the listener profile. The techniques include, in response to determining that the current content includes the content that induces the audio syndrome for the listener, generating an alternative audio content that suppresses audibility of the content that induces the audio syndrome for the listener. Additionally, the techniques include presenting the alternative audio content for the listener in place of the current content.

Abstract: Provided are a computer program product, system, and method for classifying a digital speech sample of a call to determine routing for the call. A digital speech sample of a call agent is processed to categorize speech as having an agent speech attribute. Information is received on a caller speech attribute initiating a call to the call center. The caller speech attribute results from categorizing a caller digital speech sample of the caller as having the caller speech attribute. A call agent of call agents having a call agent speech attribute that matches the caller speech attribute is selected and the call is routed to the selected call agent to process the call.

Abstract: A computer-implemented method according to one embodiment includes classifying an image stored on a device as a type of image. A user's access pattern of other images also classified as the type of image is analyzed. The method further includes analyzing at least one sharing medium that the user has previously used to share the image and/or other images. The analyzing the at least one medium is at least in part based on the classified type of the image. A previously recorded delete pattern of the user is analyzed. The analyzing the previously recorded delete pattern of the user is at least in part based on the classified type of the image. Based on the classified type of the image and/or based on results of the analyses, the image is categorized to one of a plurality of image compression categories. Each category corresponds to a degree of image compression.

Abstract: Embodiments for managing mobile electronic devices are described. At least one user-device interaction characteristic associated with a first mobile electronic device having a first set of hardware attributes is received. The operation of a second mobile electronic device having a second set of hardware attributes is tuned based on one or more of the at least one of the user-device interaction characteristics, a comparison of the first set of hardware attributes and the second set of hardware attributes, or a combination thereof.