This paper introduces Linguistic Style Improvisation, a theory and set of algorithms for improvisation of spoken utterances by artificial agents, with applications to interactive story and dialogue systems. We argue that linguistic style is a key aspect of character, and show how speech act representations common in AI can provide abstract representations from which computer characters can impr...

This paper introduces Linguistic Style Improvisation, a theory and set of algorithms for improvisation of spoken utterances by artiicial agents, with applications to interactive story and dialogue systems. We argue that linguistic style is a key aspect of character, and show how speech act representations common in AI can provide abstract representations from which computer characters can impro...

In this paper, we investigate improvisation in a systems development project within the context of safety-critical, rigid quality management standards. This study took place within a technology company in the automotive industry over a 31-month period and focused on the development of an innovative information system for automobiles. Our analysis traced different forms of improvised practice ov...

Improvisation is being appreciated by the management literature because of its key role in a variety of contingencies: emergencies, markets and work organizations. Improvisation is described as a form of extemporaneous, situated action. In the literature, the study of these two phenomena has been mainly cognitive. This exposes it to the critique according to which the situated action paradigm w...

This paper explores the design of training environments in which emergency response professionals can use information technologies to train for responding to unplanned-for situations. This approach—designing for improvisation—is fundamentally different than designing for plan execution. In this paper, we identify three dimensions of this difference and outline a set of research questions that a...

We describe a model for improvisation design based on Factor Oracle automation, which is extended to perform learning and analysis of incoming sequences in terms of sequence variation parameters, namely replication, recombination and innovation. These parameters describe the improvisation plan and allow designing new improvisations or analysis and modification of plans of existing improvisation...

Machine improvisation and related style simulation problems usually consider building representations of time-based media data, such as music, either by explicit coding of rules or applying machine learning methods. Stylistic learning applies such methods to musical sequences in order to capture salient musical features and organize these features into a model. The Stylistic simulation process ...

This report describes the design and realization of Mimi, a multi-modal interactive musical improvisation system that explores the potential and powerful impact of visual feedback in performer-machine interaction. Mimi is a performer-centric tool designed for use in performance and teaching. Its key and novel component is its visual interface, designed to provide the performer with instantaneou...