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

Alt, Florian; Bulling, Andreas; Mecke, Lukas and Buschek, Daniel (2016): Attention, please! Comparing Features for Measuring Audience Attention Towards Pervasive Displays. Conference on Designing Interactive Systems, Brisbane, Australia, June 4 - 8, 2016. In: DIS 2016 : Proceedings of the 2016 ACM Conference on Designing Interactive Systems, New York: Association for Computing Machinery. pp. 823-828

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.

• Item Type: Conference or Workshop Item (Paper)
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• Place of Publication: New York
• Language: English