Abstract: Embodiments of a feedback system can have sensors for sensing movement and other characteristics of user devices, analyze the sensor data for a user device to determine a current behavior of a user, and determine a characteristic of a presentation that can vary as a function of that behavior. For example, where the presentation is a website, if an analyzing program determines from the sensor data that a user is in a relatively inactive state, the website might be presented with full interactivity, whereas if the analyzing program determines from the sensor data that a user is busy with an activity, the website might be presented in a more abbreviated form.

Abstract: An advertising management system serves advertisements to user devices. Sensor data of the user devices can be analyzed, along with external data indicative of characteristics of a current environment of the user and/or the user device, such as weather, land use, or land type, to determine an audience containing that user. The system can select advertisements to present to that user based on the user's audience. Code embedded in a prior advertisement can be used to gather the sensor data or code provided to application developers, such as in a system development kit, can obtain sensor data. The sensor data can be isolated from the application that executes the code. Sensor data might be distilled to a motion label representing a presumed activity of the user. Analyzing sensor data might include a machine learning process to interpret the sensor data and external data to determine a likely audience.