The Nielsen Comapny (US), LLC

Verto Analytics Oy

Other

Hannu Verkasalo

Eric Malmi

Matias Kontturi

Mika Ristimäki

Subhradeep Kayal

Timo Smura

He Zhang

Matti Aksela

Chris Modzelewski

System and method for behavioral and contextual data analytics are disclosed. An example computer system to process observational data received from a wireless device includes a memory including machine readable instructions and a processor to execute the instructions to: process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behavior associated with the wireless device; and apply the behavior model to predict a usage duration of a second application in response to usage of a first application.

Systems and methods for behavioural and contextual data analytics

Electronic arrangement comprising a data interface for transferring data with external elements, at least one processor for processing instructions and other data, and memory for storing the instructions and other data, said at least one processor being configured, in accordance with the stored instructions, to obtain at least one predictive user model including one or more demographic characteristics as dependent variables to be predicted and usage statistics of applications as explanatory variables, obtain deterministic usage statistics indicative of digital applications a target user has utilized during a monitoring period, and determine, through utilization of the deterministic usage statistics obtained during the monitoring period as input to the at least one established predictive model, an estimate of said one or more of the demographic characteristics of the target user.

Arrangement and method for inferring demographics from application usage statistics

Method for supplying data to remotely cultivate a digital content reference library, to be executed by an electronic terminal device capable of visually displaying digital content to a user and communicating with a communications network, comprising establishing, by automatic observation logic, visual characteristics data representing the on-screen appearance of digital content, such as application, shown via a display of the terminal device (), and transmitting the visual characteristics data to a remote server for updating a digital content reference library thereat linking content identity information with associated visual characteristics data in the received or processed form (). A compatible method to be executed on the network side is presented as well as related, applicable terminal devices and server arrangements.

Method, device and arrangement for measurement of app usage based on visual characteristics

System for obtaining and analyzing data on online user behavior and other activity having regard to Internet connectable user devices, optionally mobile devices, the system being configured to collect data from a plurality of data sources, wherein the collected data includes at least individual user-level data acquired from user devices and census-level data indicating behavior and demographic characteristics across the entire population of users, active or measured services, with the user-level data being preferably collected using at least one user research panel of controlled constitution, preferably from multiple devices of each participant in the panel, the collected data being indicative of Internet, content, media, application, and/or device usage, organize the obtained user-level and census-level data into a multivalent categorized data set utilizing an ontological metadata schema, determine an electronic deliverable based on an integration of the user-level data and census-level data wherein census-level data is utilized to calibrate user-level data.

Measurement of multi-screen internet user profiles, transactional behaviors and structure of user population through a hybrid census and user based measurement methodology

Electronic terminal device including a processing entity for processing instructions and other data, functionally connected user interface entity, a display and user input elements, optionally a keypad or a touch-sensitive arrangement in connection with the display, a memory entity for storing the instructions and data, and a communication interface for transferring data with external entities, configured, in accordance with the instructions, to store data including a number of predetermined fingerprints, each characterizing display usage such as visual objects associated with software entities and potentially shown to the user via the display during execution of the software entity, and log data including behavioral data indicative of user engagement with the UI of the device, the logging incorporating detecting display usage, and storing indication of such detection in the memory, wherein the device is configured to determine the status of the display, and execute the logging according to the determination.

Metering user behaviour and engagement with user interface in terminal devices

Electronic system for obtaining data, via one or more digital devices, on user behavior, digital transactions, and exposure relative to digital content and services, or external exposure and associated events between the user and the environment via sensors attached to digital devices, the system being configured to collect data reflecting the content and objects that the user at least potentially perceives as rendered on one or more digital screens attached to smart devices, reconstruct the at least potentially perceived visual landscape based on the collected data, and determine the target and/or level of user attention in view of the reconstruction and associated exposure events detected therein, and to apply locally stored information about rules or fingerprints in the digital object recognition process involving the collected data and validation of the type or identity of user actions, digital content, or external objects, as reflected by the reconstruction recapturing the visual landscape.

Behavioral event measurement system and related method

Network server arrangement for processing non-parametric, multi-dimensional, spatial and temporal human behavior or technical observations measured pervasively, and related method for the same are disclosed. An example computer system to process usage data received from a wireless device, the computer system including a memory including machine readable instructions; and a processor to execute the instructions to: process the usage data to identify applications which were sequentially accessed on the wireless device in a time period; build a behavior model based on the identified applications, the behavior model to describe user behavior associated with the wireless device; execute the behavior model to predict usage of an application on the wireless device; based on the prediction, monitor usage of the wireless device to determine an accuracy of the prediction; and update the behavior model based on the accuracy of the prediction.

Network server arrangements for processing non-parametric, multi-dimensional, spatial and temporal human behavior or technical observations measured pervasively, and related methods for the same

This invention generally discusses wireless devices, servers and communications networks. In particular the invention pertains to performing observations in one or more mobile terminals and processing and distributing the related data in a server side system through layered data processing activities, and conversion of non-parametric data into parameterized form through the utilization of statistical filtering and semantic data structures. It is further explained how such multi-layer, parametrized data can be utilized for predictive purposes, and how feedback loops can be built with the physical world to improve future predictions. The invention is applicable in various applications, for example in systems where precise digital profiles of users need to be built on a continuous basis, and such profiles need to be dynamically linked to one or several actions triggered by emerging characteristics in the data. The multi-layer approaches makes it possible to structure output statistics into continuous and standardized, periodic datasets, even though input data is highly unorganized, non-chronological, and sporadic. Similarly, the invention describes how the multi-layer data storage structure and chosen statistical operations make it possible to build virtually an infinite number of further aggregations and averages based on the output data streams.

Network server arrangement for processing non-parametric, multi-dimensional, spatial and temporal human behavior or technical observations measured pervasively, and related method for the same

A server arrangement for managing observation data of wireless devices, including data input logic for obtaining observation data from wireless devices, the obtained data including behavioral and contextual raw data relative to the wireless devices, data mining logic for establishing a number of derived data elements, on the basis of processing and analyzing the obtained observation and optional supplementary data, the processing and analyzing incorporating aggregation procedures. At least one derived data element includes usage metrics with contextual dimension relative to applications or other features of wireless devices and users, data storage for storing the obtained data and the number of derived information elements, and a data distribution logic providing derived data. The distribution logic may serve a data query constructed by an external entity through provision of derived information from derived data elements according to the query parameters. A corresponding method for execution by the server arrangement is presented.

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Espoo, Finland

Hannu Verkasalo