Literature DB >> 33141723

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

Caitlyn Clabaugh1, Maja Matarić2.   

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.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2018        PMID： 33141723     DOI： 10.1126/scirobotics.aat7451

Source DB:  PubMed          Journal:  Sci Robot        ISSN： 2470-9476


  5 in total

Review 1.  Coordinating attention requires coordinated senses.

Authors:  Lucas Battich; Merle Fairhurst; Ophelia Deroy
Journal:  Psychon Bull Rev       Date:  2020-12

2.  Noncontact human-machine interaction based on hand-responsive infrared structural color.

Authors:  Shun An; Hanrui Zhu; Chunzhi Guo; Benwei Fu; Chengyi Song; Peng Tao; Wen Shang; Tao Deng
Journal:  Nat Commun       Date:  2022-03-18       Impact factor: 14.919

Review 3.  Hydrogels as Soft Ionic Conductors in Flexible and Wearable Triboelectric Nanogenerators.

Authors:  Yinghong Wu; Yang Luo; Tyler J Cuthbert; Alexander V Shokurov; Paul K Chu; Shien-Ping Feng; Carlo Menon
Journal:  Adv Sci (Weinh)       Date:  2022-02-20       Impact factor: 16.806

4.  User Profiling to Enhance Clinical Assessment and Human-Robot Interaction: A Feasibility Study.

Authors:  Laura Fiorini; Luigi Coviello; Alessandra Sorrentino; Daniele Sancarlo; Filomena Ciccone; Grazia D'Onofrio; Gianmaria Mancioppi; Erika Rovini; Filippo Cavallo
Journal:  Int J Soc Robot       Date:  2022-07-08       Impact factor: 3.802

5.  A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot-methodology and usability testing.

Authors:  Ronit Feingold-Polak; Oren Barzel; Shelly Levy-Tzedek
Journal:  J Neuroeng Rehabil       Date:  2021-07-28       Impact factor: 4.262
  5 in total

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