Robots for the people, by the people: Personalizing human-machine interaction

Caitlyn Clabaugh; Maja Matarić

doi:10.1126/scirobotics.aat7451

Robots for the people, by the people: Personalizing human-machine interaction

Sci Robot. 2018 Aug 22;3(21):eaat7451. doi: 10.1126/scirobotics.aat7451.

Authors

Caitlyn Clabaugh¹, Maja Matarić²

Affiliations

¹ Department of Computer Science, University of Southern California, 3710 McClintock Avenue, Los Angeles, CA 90089, USA. clabaugh@usc.edu.
² Department of Computer Science, University of Southern California, 3710 McClintock Avenue, Los Angeles, CA 90089, USA.

PMID: 33141723
DOI: 10.1126/scirobotics.aat7451

Abstract

Multimodal, interactive, and multitask machine learning can be applied to personalize human-robot and human-machine interactions for the broad diversity of individuals and their unique needs.

Publication types

Review