Human-Agent Interaction and Machine Learning
Abstract
Human-Agent Interaction as a specific area of Human-Computer Interaction is of primary importance for the development of systems that should cooperate with humans. The ability to learn, i.e., to adapt to preferences, abilities and behaviour of a user and to peculiarities of the task at hand, should provide for both a wider range of application and a higher degree of acceptance of agent technology. In this paper, we discuss the role of Machine Learning as a basic technology for human-agent interaction and motivate the need for interdisciplinary approaches to solve problems related to communication with artificial agents for task specification, teaching, or information retrieval purposes.
Cite
Text
Kaiser et al. "Human-Agent Interaction and Machine Learning." European Conference on Machine Learning, 1997. doi:10.1007/3-540-62858-4_98Markdown
[Kaiser et al. "Human-Agent Interaction and Machine Learning." European Conference on Machine Learning, 1997.](https://mlanthology.org/ecmlpkdd/1997/kaiser1997ecml-humanagent/) doi:10.1007/3-540-62858-4_98BibTeX
@inproceedings{kaiser1997ecml-humanagent,
title = {{Human-Agent Interaction and Machine Learning}},
author = {Kaiser, Michael and Klingspor, Volker and Friedrich, Holger},
booktitle = {European Conference on Machine Learning},
year = {1997},
pages = {345-352},
doi = {10.1007/3-540-62858-4_98},
url = {https://mlanthology.org/ecmlpkdd/1997/kaiser1997ecml-humanagent/}
}