Vision-Based Face Tracking System for Large Displays
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Proceedings of the 17th annual ACM symposium on User interface software and technology
Human-Computer Interaction (3rd Edition)
Human-Computer Interaction (3rd Edition)
It's Mine, Don't Touch!: interactions at a large multi-touch display in a city centre
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Medusa: a proximity-aware multi-touch tabletop
Proceedings of the 24th annual ACM symposium on User interface software and technology
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Motivated by and grounded in observations of foot patterns in a human-human dialogue, this study explores expressions of spatial interest through feet at public displays. We conducted an observation and recorded user foot orientation and position in a public information display environment leading to data about 84 interaction sessions. Our observations show that characteristic foot patterns can be matched with two user intentions: (A) Users who seek access to specific information, and (B) users who don't seek specific information. With the goal to detect intention through foot patterns, we classified characteristic foot patterns with a SVM pattern recognition algorithm, which resulted in a detection accuracy of 84.4%. This work can be valuable for researchers designing context-aware public displays.