@inproceedings{901dbbe5ae994426aa9d2b1f43d032e9,
title = "Long-Term Interaction and Persistence of Engagement for Musical Interaction using a Genetic Algorithm",
abstract = "Current research in human-agent interaction primarily focuses on short term interaction and rarely addresses day to day use. We propose a prototype system based on a genetic algorithm that places long term interaction as the core design goal. The goal of this system is to develop stand alone long-term development and provide a platform for future post-processing of deep learning generations. This paper addresses these issues through the domain of musical interaction and improvisation, a field that incorporates dialogue-like interaction built on stylistic constraints. We contend that the objectives of continual knowledge development and building relationships are key to long-term human interaction, and design the genetic algorithm specifically around these concepts. Our eventual goal of the prototype is a future application of post processing for deep learning generative systems.",
keywords = "genetic algorithms, long-term, music, persistence of engagement",
author = "Richard Savery and Gil Weinberg",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 8th International Conference on Human-Agent Interaction, HAI 2020 ; Conference date: 10-11-2020 Through 13-11-2020",
year = "2020",
month = nov,
day = "10",
doi = "10.1145/3406499.3418768",
language = "English",
series = "HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction",
publisher = "Association for Computing Machinery, Inc",
pages = "239--241",
editor = "Mohammad Obaid and Mubin, \{Omar \} and Nagai, \{Yukie \} and Osawa, \{Hirotaka \} and Abdelrahman, \{Yomna \} and Fjeld, \{Morten \}",
booktitle = "HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction",
}