improving user interaction with spoken dialog systems via shaping
Speech-based interfaces offer the promise of simple human-computer communication, yet the current state-of-the-art often produces inefficient interactions. Many inefficiencies are caused by understanding or recognition errors. Such errors can be minimized by designing interaction protocols in which users are required to speak in a standardized way, but this requirement presents additional difficulties: this way of speaking can be unnatural for users, and in order to learn the standardized interface, users must spend time in tutorial mode rather than in task mode. I propose a strategy of shaping that helps users adapt their interaction to match what the system understands best, thereby reducing the chance for misunderstandings and improving interaction efficiency.
spoken dialog systems speech recognition