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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Oliveira, R., Arriaga, P., Correia, F. & Paiva, A. (2019). The Stereotype Content Model applied to Human-Robot interactions in groups. In HRI'19 The 14th ACM/IEEE International Conference on Human-Robot Interaction. (pp. 123-132). Daegu: ACM/IEEE.
Exportar Referência (IEEE)
R. S. Oliveira et al.,  "The Stereotype Content Model applied to Human-Robot interactions in groups", in HRI'19 The 14th ACM/IEEE Int. Conf. on Human-Robot Interaction, Daegu, ACM/IEEE, 2019, pp. 123-132
Exportar BibTeX
@inproceedings{oliveira2019_1656982040527,
	author = "Oliveira, R. and Arriaga, P. and Correia, F. and Paiva, A.",
	title = "The Stereotype Content Model applied to Human-Robot interactions in groups",
	booktitle = "HRI'19 The 14th ACM/IEEE International Conference on Human-Robot Interaction",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/HRI.2019.8673171",
	pages = "123-132",
	publisher = "ACM/IEEE",
	address = "Daegu",
	organization = "HRI",
	url = "http://humanrobotinteraction.org/2019/"
}
Exportar RIS
TY  - CPAPER
TI  - The Stereotype Content Model applied to Human-Robot interactions in groups
T2  - HRI'19 The 14th ACM/IEEE International Conference on Human-Robot Interaction
AU  - Oliveira, R.
AU  - Arriaga, P.
AU  - Correia, F.
AU  - Paiva, A.
PY  - 2019
SP  - 123-132
DO  - 10.1109/HRI.2019.8673171
CY  - Daegu
UR  - http://humanrobotinteraction.org/2019/
AB  - In this paper, we sought to understand how the display of different levels of warmth and competence, as well as different roles (opponent versus partner) portrayed by a robot, affect the display of emotional responses towards robots and how they can be used to predict future intention to work. For this purpose, we devised an entertainment card-game group scenario involving two humans and two robots (n=54). The results suggest that different levels of warmth and competence are associated with distinct emotional responses from users and that these variables are useful in predicting future intention to work, thus hinting at the importance of considering warmth and competence stereotypes in Human-Robot Interaction.
ER  -