A procedure for automatic adaptation to the user in intelligent virtual agents
Paper i 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

Författare

Mattias Wahde

Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2019, Game and Entertainment Technologies 2019 and Computer Graphics, Visualization, Computer Vision and Image Processing 2019

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

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

Ämneskategorier

Människa-datorinteraktion (interaktionsdesign)

DOI

10.33965/ihci2019_201906c047

Mer information

Senast uppdaterat

2023-03-21