MultiMediate: Multi-modal Group Behaviour Analysis for Artificial Mediation

Attention, please! Comparing Features for Measuring Audience Attention Towards Pervasive Displays

Florian Alt, Andreas Bulling, Lukas Mecke, Daniel Buschek

Proc. ACM SIGCHI Conference on Designing Interactive Systems (DIS), pp. 823-828, 2016.


Abstract

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, responsive apps.

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BibTeX

@inproceedings{alt16_dis, author = {Alt, Florian and Bulling, Andreas and Mecke, Lukas and Buschek, Daniel}, title = {Attention, please! Comparing Features for Measuring Audience Attention Towards Pervasive Displays}, booktitle = {Proc. ACM SIGCHI Conference on Designing Interactive Systems (DIS)}, year = {2016}, pages = {823-828}, doi = {10.1145/2901790.2901897} }