Abstract: A partitioned virtual space supports logical networking of IoT devices. Agents of the devices are assigned to interest-based cells in a virtual space, and can travel among the cells. Within the cells, pairs of devices are tested for similarity, based on device profiles, and for detected affinity. Agents of devices having affinity are connected in a logical network. Some attributes can be based on a personality model and can reflect the personality of a user or other principal associated with a device. Such attributes can influence requests for affinity testing, calculation of similarity, and further behavioral effects incorporated in affinity determination. Evaluation of recommendations can lead to updating of similarity scores or changes in affinity determination. Disclosed embodiments provide scalable, distributed, autonomous, and unsupervised device-to-device connectivity, free of prior constraints. Embodiments can be implemented in the cloud, with privacy protection.

Abstract: Attributes are applied to Internet-of-Things (IoT) devices to establish high quality connections between the devices. Agents of the devices are assigned to interest-based cells in a virtual space, and can travel among the cells. Within the cells, pairs of devices are tested for similarity, based on device profiles, and for detected affinity. Devices having affinity are connected and form a logical network of IoT devices. Some attributes can be based on a personality model and can reflect the personality of a user or other principal associated with a device. The user or principal attributes can influence requests for affinity testing, calculation of similarity, and further behavioral effects incorporated in affinity determination. Disclosed embodiments provide scalable, distributed, autonomous, and unsupervised device-to-device connectivity, free of prior constraints. Associated infrastructure, simulations, performance metrics, and variations are disclosed.

Abstract: This disclosure describes a platform and taxonomy for analyzing the results of testing data, such as data generated through usability test of the User Experience (UX) of a software product or service. The analysis outputs actions that can be performed automatically to modify the software product or service under test. The usability test results that are analyzed can include qualitative data, such as words, sentences, phrases, comments, and or other (e.g., natural language) information that have been provided by end-users engaged in the usability testing. The platform and taxonomy described herein provided a framework through which a semantic analysis of results can be performed, with actions performed based on the semantic analysis.

Abstract: Attributes are applied to Internet-of-Things (IoT) devices to establish high quality connections between the devices. Agents of the devices are assigned to interest-based cells in a virtual space, and can travel among the cells. Within the cells, pairs of devices are tested for similarity, based on device profiles, and for detected affinity. Devices having affinity are connected and form a logical network of IoT devices. Some attributes can be based on a personality model and can reflect the personality of a user or other principal associated with a device. The user or principal attributes can influence requests for affinity testing, calculation of similarity, and further behavioral effects incorporated in affinity determination. Disclosed embodiments provide scalable, distributed, autonomous, and unsupervised device-to-device connectivity, free of prior constraints. Associated infrastructure, simulations, performance metrics, and variations are disclosed.

Abstract: A partitioned virtual space supports logical networking of IoT devices. Agents of the devices are assigned to interest-based cells in a virtual space, and can travel among the cells. Within the cells, pairs of devices are tested for similarity, based on device profiles, and for detected affinity. Agents of devices having affinity are connected in a logical network. Some attributes can be based on a personality model and can reflect the personality of a user or other principal associated with a device. Such attributes can influence requests for affinity testing, calculation of similarity, and further behavioral effects incorporated in affinity determination. Evaluation of recommendations can lead to updating of similarity scores or changes in affinity determination. Disclosed embodiments provide scalable, distributed, autonomous, and unsupervised device-to-device connectivity, free of prior constraints. Embodiments can be implemented in the cloud, with privacy protection.

Abstract: This disclosure describes a platform and taxonomy for analyzing the results of testing data, such as data generated through usability test of the User Experience (UX) of a software product or service. The analysis outputs actions that can be performed automatically to modify the software product or service under test. The usability test results that are analyzed can include qualitative data, such as words, sentences, phrases, comments, and or other (e.g., natural language) information that have been provided by end-users engaged in the usability testing. The platform and taxonomy described herein provided a framework through which a semantic analysis of results can be performed, with actions performed based on the semantic analysis.