Handheld Device Attentiveness Detection Using Spatial Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audience measurement systems inaccurately credit media exposure when users are not paying attention, as they fail to differentiate between actual viewing and disengagement on handheld computing devices.
Innovation Solution
Utilizing sensors such as accelerometers, gyroscopes, and magnetometers to detect spatial conditions and changes in orientation and position of handheld devices, comparing these changes to engagement/disengagement likelihood indices to determine user attentiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audience measurement systems credit media exposure based on device usage, then media exposure data can be collected, but the accuracy of exposure measurement deteriorates because users who are not paying attention are incorrectly credited with exposure
Solution Approach 1:
The patent introduces an attentiveness detector as an intermediary component that uses sensor data (accelerometer, gyroscope, magnetometer) to detect user spatial conditions and determine whether the user is paying attention to the media. This intermediary bridges the gap between device usage data and actual user attentiveness, allowing the system to differentiate between engaged and disengaged viewing without requiring direct measurement of user attention.
2Measurement precision
If sensor data collection is implemented to detect user spatial conditions, then user attentiveness can be determined, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent leverages sensors (accelerometer, gyroscope, magnetometer) that are already present in modern handheld devices for other purposes. By repurposing these existing sensors to detect spatial conditions and determine user attentiveness, the system avoids adding dedicated hardware while still achieving accurate attentiveness measurement. The device essentially serves itself by using its own existing capabilities for the new function of attentiveness detection.
Data Source
AI summary
Methods and apparatus to detect user attentiveness to portable devices are disclosed. An example portable device includes memory, computer readable instructions, and processor circuitry to execute the computer readable instructions to at least download an exposure measurement application from a first server via a network, and execute the exposure measurement application to detect at least one of a first orientation change of the portable device or a first position change between the portable device and a user, compare the at least one of the first orientation change or the first position change to a plurality of spatial condition change combinations associated with respective likelihoods indicative of user attentiveness related to the portable device to determine user attentiveness data associated with a presentation on the portable device, and cause the user attentiveness data to be transmitted via the network.