Resumen
This article discusses techniques that automatically determine whether events in multiple, multimodal input streams share a common cause, such as audio and video events sharing a common cause in the example of a talking face on screen with the corresponding speech audible in the soundtrack. Techniques for testing whether events in multimodal input streams have a common cause are of interest to us because they are well-suited for answering a variety of context-awareness questions that arise in human-computer interaction. For instance, consider the teleconferencing-related problem of steering a microphone or camera toward the currently active speaker. After clarifying notions of context-aware systems and discussing tests for common cause, it shows that common cause techniques can solve this and other context-awareness problems. Context-aware systems for financial researchers and marketers provide personalized information push or automated event response by monitoring context associated with specific entities of interest.