A procedure for automatic adaptation to the user in intelligent virtual agents
Paper in proceeding, 2019

This paper describes procedures for improving the functionality of task-oriented intelligent virtual agents (IVAs) and carrying out adaptation to the user in such agents. The functionality improvement is based on automatic extension of input patterns (rules), using a database of interchangeable phrases. This extension results in greater flexibility both regarding the user’s input and the agent’s output. The adaptation to the user relies on a complexity measure, allowing the agent to assess the level of complexity of the user’s input and thus to adapt the complexity level of its response. For the case of a simple travel information agent, the pattern extension procedure resulted in an increase in the number of available patterns of around a factor 20, greatly enhancing the agent’s capacity of adapting its output to the user.

Task-oriented agents

intelligent virtual agents

user adaptation


Mattias Wahde

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Proceedings of the 13th Multi Conference on Computer Science and Information Systems

Vol. 2019 353-357
978-989-8533-91-3 (ISBN)

13th Multi Conference on Computer Science and Information Systems, MCCSIS 2019
Porto, Portugal,

Subject Categories

Human Computer Interaction



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