Design and Implementation Issues for Convincing Conversational Agents

Design and Implementation Issues for Convincing Conversational Agents

Markus Löckelt (German Research Center for Artificial Intelligence, Saarbrücken, Germany)
DOI: 10.4018/978-1-60960-617-6.ch007
OnDemand PDF Download:


This chapter describes a selection of experiences from designing and implementing virtual conversational characters for multimodal dialogue systems. It uses examples from the large interactive narrative VirtualHuman and some related systems of the task-oriented variety. The idea is not to give a comprehensive overview of any one system, but rather to identify and describe some issues that might also be relevant for the designer of a new system, to show how they can be addressed, and what problems still remain unresolved for future work. Besides giving an overview of how characters for interactive narrative systems can be built in the implementation level, the focus is on what should be in the knowledge base for virtual characters, and how it should be organized to be able to provide a convincing interaction with one or multiple characters.
Chapter Preview

Most implementations in dialogue research are task-oriented systems intended to solve a clearly-defined problem, or to examine a given research topic. However, the less straightforward genre of virtual narratives is gaining importance and attention in the scientific community, and improved storytelling is also increasingly used in commercial software. Some design principles, including the basic modular approach for the VirtualHuman system, are derived from a line of task-oriented research systems, most prominently the Verbmobil and SmartKom systems.

One reason for the dominance of task-oriented systems, in addition to their applicability in many practical areas, might be that such interactions tend to be reasonably focused and predictable practical dialogues that are less complex than general dialogue (Jönsson, 1993). The domain – the task – can also usually be defined by formal means such as task completion criteria and limited sets of actions with pre-conditions and post-conditions that can achieve the goals of the interaction.

Task-oriented frameworks require rational agents that ideally help the user to get to the goal quickly and/or effectively. On the other hand, interactive narratives are more complicated and multifaceted. Good narratives will certainly require more elaborate language than purely task-focused prose. Also, a character acting in a narrative setting does not have to be rational; in a story, the main goal is to entertain users, and this above all requires that the interaction is interesting and the actors are believable. A character in a play can very well act in a decidedly irrational manner, as long as the audience can understand its motivations.

Following the increased interest, there is currently substantial research in the area of interactive narrative systems. Notable research systems include the Mission Rehearsal Exercise, a military emergency simulator (Swartout et al., 2006); the FearNot system, intended to train children to cope with bullying situations (Hall et al, 2006); and Façade, an enacting of a couple’s breakup (Mateas & Stern, 2003). Commercial applications mainly fall into two categories, edutainment / instructional software and, of course, games.

A well-known example is the series The Sims that models the motivations of its simulated characters very similarly to the BDI (belief-desire-intention) paradigm originating from academic research (Rao & Georgeff, 1991). For current games, there is also a growing trend towards more serious and mature stories like the 2010 title Heavy Rain, which is a rather gloomy experience that emphasizes narrative depth and moral choices rather than striving for player satisfaction. However, commercial producers are not inclined to publish details about the inner workings of their software.

Complete Chapter List

Search this Book: