Application of Verbal Intelligence in Dialog Systems for Multimodal Interaction

In this paper we present a prototypical dialog system adaptive to verbal user intelligence. Verbal intelligence (VI) is the ability to analyze information and to solve problems using language-based reasoning. VI can be analyzed by the number of reused words, lemmas, n-grams, cosine similarity and other features. Here we concentrate on the application of VI in a human-computer interaction (HCI) and how this value can be used by the dialog management to adapt the dialog flow, and complexity at run-time. In our work complexity as well as informative value of presented information can be reduced or increased when encountering human-computer interaction by individually adapting to a lower or higher verbally intelligent user. Especially in intelligent environments, where user´s may rely on speech as their primary interaction modality, the adaptation of system instructions to the the user´s VI could prove helpful.