Learning Robot Speech Models to Predict Speech Acts in HRI
In order to be acceptable and able to “camouflage” into their physio-social context in the long run, robots need to be not just functional, but autonomously psycho-affective as well. This motivates a long term necessity of introducing behavioral autonomy in robots, so they can autonomously communica...
Main Authors: | Arora Ankuj, Fiorino Humbert, Pellier Damien, Pesty Sylvie |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2016-08-01
|
Series: | Paladyn |
Subjects: | |
Online Access: | https://doi.org/10.1515/pjbr-2018-0015 |
Similar Items
-
An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics
by: Raquel Fuentetaja, et al.
Published: (2020-11-01) -
Studying robots outside the lab: HRI as ethnography
by: Blond Lasse
Published: (2019-03-01) -
A Meta-Analysis on Remote HRI and In-Person HRI: What Is a Socially Assistive Robot to Do?
by: Nan Liang, et al.
Published: (2022-09-01) -
Distributed agency in HRI—an exploratory study of a narrative robot design
by: Philipp Graf, et al.
Published: (2024-02-01) -
The potential of robot eyes as predictive cues in HRI—an eye-tracking study
by: Linda Onnasch, et al.
Published: (2023-07-01)