Ambiguity detection in multimodal systems

Multimodal systems support users to communicate in a natural way according to their needs. However, the naturalness of the interaction implies that it is hard to find one and only one interpretation of the user's input. Consequently the necessity to define methods for users' input interpretation and ambiguity detection is arising. This paper proposes a theoretical approach based on a Constraint Multiset Grammar combined with Linear Logic, for representing and detecting ambiguities, and in particular semantic ambiguities, produced by the user's input. It considers user's input as a set of primitives defined as terminal elements of the grammar, composing multimodal sentences. The Linear Logic is used to define rules that allow detecting ambiguities connected to the semantics of the user's input. In particular, the paper presents the main features of the user's input and connections between the elements belonging to a multimodal sentence, and it enables to detect ambiguities that can arise during their interpretation process.