@inproceedings{c29bdaedddc54582bc2a0f0291524a61,
title = "Machine learning driven musical improvisation for mechanomorphic human-robot interaction",
abstract = "As industrial robots and social robots become prevalent in commercial and home settings it is crucial to improve forms of communication with human collaborators and companions. In this work, I describe the use of musical improvisation to generate emotional musical prosody for improved human-robot interaction. This aims to develop a canny approach, where robots perform in a mechanomorphic manner improving collaboration opportunities with humans. I have currently collected a new 12-hour dataset and developed a Conditional Variational Autoencoder to generate new phrases. Generations have then been used to compare the impact of prosody on anthropomorphism, animacy, likeability, perceived intelligence, and trust. Future work will incorporate prosody into groups of robots and humans, using personality to drive emotional decisions and emotion contagion.",
keywords = "Audio, Emotion, Music, Prosody, Robotics, Sound",
author = "Richard Savery",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 ; Conference date: 08-03-2021 Through 11-03-2021",
year = "2021",
month = mar,
day = "8",
doi = "10.1145/3434074.3446351",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "559--561",
editor = "Cinthy Bethel and Ana Paiya and Elizabeth Broadbent and David Feil-Seifer and Daniel Szafir",
booktitle = "HRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}