@inproceedings{plane-etal-2018-predicting,
title = "Predicting Perceived Age: Both Language Ability and Appearance are Important",
author = "Plane, Sarah and
Marvasti, Ariel and
Egan, Tyler and
Kennington, Casey",
editor = "Komatani, Kazunori and
Litman, Diane and
Yu, Kai and
Papangelis, Alex and
Cavedon, Lawrence and
Nakano, Mikio",
booktitle = "Proceedings of the 19th Annual {SIG}dial Meeting on Discourse and Dialogue",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5014",
doi = "10.18653/v1/W18-5014",
pages = "130--139",
abstract = "When interacting with robots in a situated spoken dialogue setting, human dialogue partners tend to assign anthropomorphic and social characteristics to those robots. In this paper, we explore the age and educational level that human dialogue partners assign to three different robotic systems, including an un-embodied spoken dialogue system. We found that how a robot speaks is as important to human perceptions as the way the robot looks. Using the data from our experiment, we derived prosodic, emotional, and linguistic features from the participants to train and evaluate a classifier that predicts perceived intelligence, age, and education level.",
}
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<abstract>When interacting with robots in a situated spoken dialogue setting, human dialogue partners tend to assign anthropomorphic and social characteristics to those robots. In this paper, we explore the age and educational level that human dialogue partners assign to three different robotic systems, including an un-embodied spoken dialogue system. We found that how a robot speaks is as important to human perceptions as the way the robot looks. Using the data from our experiment, we derived prosodic, emotional, and linguistic features from the participants to train and evaluate a classifier that predicts perceived intelligence, age, and education level.</abstract>
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%0 Conference Proceedings
%T Predicting Perceived Age: Both Language Ability and Appearance are Important
%A Plane, Sarah
%A Marvasti, Ariel
%A Egan, Tyler
%A Kennington, Casey
%Y Komatani, Kazunori
%Y Litman, Diane
%Y Yu, Kai
%Y Papangelis, Alex
%Y Cavedon, Lawrence
%Y Nakano, Mikio
%S Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F plane-etal-2018-predicting
%X When interacting with robots in a situated spoken dialogue setting, human dialogue partners tend to assign anthropomorphic and social characteristics to those robots. In this paper, we explore the age and educational level that human dialogue partners assign to three different robotic systems, including an un-embodied spoken dialogue system. We found that how a robot speaks is as important to human perceptions as the way the robot looks. Using the data from our experiment, we derived prosodic, emotional, and linguistic features from the participants to train and evaluate a classifier that predicts perceived intelligence, age, and education level.
%R 10.18653/v1/W18-5014
%U https://aclanthology.org/W18-5014
%U https://doi.org/10.18653/v1/W18-5014
%P 130-139
Markdown (Informal)
[Predicting Perceived Age: Both Language Ability and Appearance are Important](https://aclanthology.org/W18-5014) (Plane et al., SIGDIAL 2018)
ACL