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Cited by 386

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

How to build robots that make friends and influence people

Breazeal, C., Scassellati, B.·2003·Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289)

Abstract

In order to interact socially with a human, a robot must convey intentionality, that is, the human must believe that the robot has beliefs, desires, and intentions. We have constructed a robot which exploits natural human social tendencies to convey intentionality through motor actions and facial expressions. We present results on the integration of perception, attention, motivation, behavior, and motor systems which allow the robot to engage in infant-like interactions with a human caregiver.

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Crossref · 10.1109/iros.1999.812787

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Metadata

Authors
Breazeal, C., & Scassellati, B.
Venue
Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289)
Publisher
IEEE
Published
2003-01-20
Volume
2
Pages
858-863
OpenAlex
W2096453912
Cited by
386
References
11
FWCI
49.20
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: How to build robots that make friends and influence people. https://app.cochat.ai/papers/10.1109/iros.1999.812787
The paper
Breazeal, C., & Scassellati, B. (2003). How to build robots that make friends and influence people. Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289). https://doi.org/10.1109/iros.1999.812787

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.