Thursday, december 17 at 16:00 – 18:00.
N13 room, ground floor, Department of Engineering
Via della Vasca Navale, 79, Roma
In many cases, visitors come to a museum in small groups. In these cases, the visitors’ social context has an impact on their museum visit experience. Knowing the social context may allow a system to provide socially-aware services to the visitors. Evidence of the social context can be gained from observing/monitoring the visitors’ social behavior. However, automatic identification of a social context requires on the one hand identifying typical social-behavior patterns, and on the other using relevant sensors that measure various signals and reason about them to detect the visitors’ social behavior. The talk will present such typical social-behavior patterns of visitor pairs, identified by observations, and then, the instrumentation, detection process, reasoning, and analysis of measured signals that enables to detect the visitors’ social behavior. Simple sensors’ data, such as proximity to other visitors, proximity to museum points-of-interest, and visitor orientation were used to detect social synchronization, attention to the social companion, and interest in museum exhibits. The presented approach may allow future research to offer adaptive services to museum visitors based on their social context, to support their group visit experience better.