Publication Details

Download

Florian Alt, Andreas Bulling, Lukas Mecke, Daniel Buschek
Attention, please! Comparing Features for Measuring Audience Attention Towards Pervasive Displays
In DIS '16: Proceedings of the ACM SIGCHI Conference on Designing Interactive Systems. Brisbane, Australia, June 4 - 8, 2016. ACM, New York, NY, USA. (bib)

Measuring audience attention towards pervasive displays is important but accurate measurement in real time remains a significant sensing challenge. Consequently, researchers and practitioners typically use other features, such as face presence, as a proxy. We provide a principled comparison of the performance of six features and their combinations for measuring attention: face presence, movement trajectory, walking speed, shoulder orientation, head pose, and gaze direction. We implemented a prototype that is capable of capturing this rich set of features from video and depth camera data. Using a controlled lab experiment (N=18) we show that as a single feature, face presence is indeed among the most accurate.We further show that accuracy can be increased through a combination of features (+10.3%), knowledge about the audience (+63.8%), as well as user identities (+69.0%). Our findings are valuable for display providers who want to collect data on display effectiveness or build interactive applications that respond to the audience.