Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, pubblicazioni, progetti, attività) adottato dall’Università di Palermo, e ha lo scopo di raccogliere, conservare, documentare, e diffondere ad accesso aperto le informazioni relative alla produzione scientifica degli autori afferenti all’Ateneo.
EnglishIndividuality is one of the most important qualities of humans. Social robots should be able to model the individuality of the human partners and to modify their behaviours accordingly.This paper proposes a profiling system for social robots to be able to learn the individuality of human partners in social contexts. Profiles are expressed in terms of of identities and preferences bound together. In particular, people’s identity is captured by the use of facial features, while preferences are extracted from the discussion between the partners. Both are bound using an Hebb network. Experiments show the feasibility and the performances of the approach presented.
Anzalone, S., Yoshikawa, Y., Ishiguro, H., Menegatti, E., Pagello, E., & Sorbello, R. (2012). Towards Partners Profiling In Human Robot Interaction Contexts. In Simulation, Modeling, and Programming for Autonomous Robots (pp. 4-15). Springer.
| Data di pubblicazione: | 2012 |
| Titolo: | Towards Partners Profiling In Human Robot Interaction Contexts |
| Autori: | |
| Citazione: | Anzalone, S., Yoshikawa, Y., Ishiguro, H., Menegatti, E., Pagello, E., & Sorbello, R. (2012). Towards Partners Profiling In Human Robot Interaction Contexts. In Simulation, Modeling, and Programming for Autonomous Robots (pp. 4-15). Springer. |
| Abstract: | Individuality is one of the most important qualities of humans. Social robots should be able to model the individuality of the human partners and to modify their behaviours accordingly.This paper proposes a profiling system for social robots to be able to learn the individuality of human partners in social contexts. Profiles are expressed in terms of of identities and preferences bound together. In particular, people’s identity is captured by the use of facial features, while preferences are extracted from the discussion between the partners. Both are bound using an Hebb network. Experiments show the feasibility and the performances of the approach presented. |
| Digital Object Identifier (DOI): | http://link.springer.com/chapter/10.1007%2F978-3-642-34327-8_4 |
| Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni |
| Appare nelle tipologie: | 2.01 Capitolo o Saggio |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| simpar12_sorbello.pdf | N/A | Administrator Richiedi una copia |
Copyright © 2020