Abstract | ||
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Expressivity - the use of multiple, non-verbal, modalities to convey or augment the communication of internal states and intentions - is a core component of human social interactions. Studying expressivity in contexts of artificial agents has led to explicit considerations of how robots can leverage these abilities in sustained social interactions. Research on this covers aspects such as animation, robot design, mechanics, as well as cognitive science and developmental psychology. This workshop provides a forum for scientists from diverse disciplines to come together and advance the state of the art in developing expressive robots. Participants will discuss points of methodological opportunities and limitations, to develop a shared vision for next steps in expressive social robots.
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Year | DOI | Venue |
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2019 | 10.1109/HRI.2019.8673268 | HRI |
Keywords | Field | DocType |
Socially Intelligent robotics | Modalities,Social robot,Multiple signal classification,Computer science,Robot design,Human–computer interaction,Animation,Robot,Human–robot interaction,Expressivity | Conference |
ISSN | ISBN | Citations |
2167-2121 | 978-1-5386-8555-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vicky Charisi | 1 | 2 | 2.42 |
Selma Sabanovic | 2 | 302 | 44.66 |
Serge Thill | 3 | 0 | 1.01 |
Emilia Gómez | 4 | 139 | 29.70 |
Keisuke Nakamura | 5 | 189 | 28.91 |
Randy Gomez | 6 | 76 | 28.11 |