Individuals may interact with automated services as one or more parties, where such individuals may have collective (as well as individual) intents. Moreover, parties may concurrently communicate with the interface, and the interface may have to manage several concurrent interactions with different parties. Single-individual interfaces may be unable to react robustly to such dynamic and complex real-world scenarios. Instead, multi-party interfaces to service components may be devised that identify individuals within a scene, associate the individuals with parties, track a set of interactions of the parties with the service component, and direct the service component in interacting with the parties. A multi-party interface may also detect and politely handle interruptions, and may identify information items about individuals and parties based on context and history, prioritize the intents of the individuals and parties, and triage interactions accordingly.