Literature DB >> 35402952

For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human.

Ekaterina Ivanova1,2, Gerolamo Carboni1, Jonathan Eden1, Jorg Kruger2, Etienne Burdet1.   

Abstract

Objective: The last decades have seen a surge of robots for physical training and work assistance. How to best control these interfaces is unknown, although arguably the interaction should be similar to human movement assistance.
Methods: We compare the behaviour and assessment of subjects tracking a moving target with assistance from (i) trajectory guidance (as typically used in robots for physical training), (ii) a human partner, and (iii) the reactive robot partner of Takagi et al.
Results: Trajectory guidance was recognised as robotic, while the robot partner was felt as human-like. However, trajectory guidance was preferred to assistance from a human partner, which was recognised as less predictable. The robot partner also was felt to be more predictable and helpful than a human partner, and was preferred. Conclusions: While subjects like to rely on predictable interaction, such as in trajectory guidance, the control reactivity of the robot partner is essential for perceiving an interaction as human-like.

Entities:  

Keywords:  Physical interaction; haptic Turing test; human-human; human-robot; performance and perception

Year:  2020        PMID: 35402952      PMCID: PMC8974791          DOI: 10.1109/OJEMB.2020.2987885

Source DB:  PubMed          Journal:  IEEE Open J Eng Med Biol        ISSN: 2644-1276


  14 in total

Review 1.  Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery.

Authors:  Neville Hogan; Hermano I Krebs; Brandon Rohrer; Jerome J Palazzolo; Laura Dipietro; Susan E Fasoli; Joel Stein; Richard Hughes; Walter R Frontera; Daniel Lynch; Bruce T Volpe
Journal:  J Rehabil Res Dev       Date:  2006 Aug-Sep

2.  One dimensional Turing-like handshake test for motor intelligence.

Authors:  Amir Karniel; Guy Avraham; Bat-Chen Peles; Shelly Levy-Tzedek; Ilana Nisky
Journal:  J Vis Exp       Date:  2010-12-15       Impact factor: 1.355

3.  Stroke participants' perceptions of robotic and electrical stimulation therapy: a new approach.

Authors:  Ann-Marie Hughes; Jane Burridge; Chris T Freeman; Maggie Donnovan-Hall; Paul H Chappell; Paul L Lewin; Eric Rogers; Bridget Dibb
Journal:  Disabil Rehabil Assist Technol       Date:  2010-08-10

4.  Experimental and theoretical study of velocity fluctuations during slow movements in humans.

Authors:  Emmanuel Guigon; Oussama Chafik; Nathanaël Jarrassé; Agnès Roby-Brami
Journal:  J Neurophysiol       Date:  2019-01-16       Impact factor: 2.714

5.  Two is better than one: physical interactions improve motor performance in humans.

Authors:  G Ganesh; A Takagi; R Osu; T Yoshioka; M Kawato; E Burdet
Journal:  Sci Rep       Date:  2014-01-23       Impact factor: 4.379

6.  Haptic communication between humans is tuned by the hard or soft mechanics of interaction.

Authors:  Atsushi Takagi; Francesco Usai; Gowrishankar Ganesh; Vittorio Sanguineti; Etienne Burdet
Journal:  PLoS Comput Biol       Date:  2018-03-22       Impact factor: 4.475

7.  Individuals physically interacting in a group rapidly coordinate their movement by estimating the collective goal.

Authors:  Atsushi Takagi; Masaya Hirashima; Daichi Nozaki; Etienne Burdet
Journal:  Elife       Date:  2019-02-12       Impact factor: 8.140

8.  Translation of evidence-based Assistive Technologies into stroke rehabilitation: users' perceptions of the barriers and opportunities.

Authors:  Ann-Marie Hughes; Jane Helena Burridge; Sara Holtum Demain; Caroline Ellis-Hill; Claire Meagher; Lisa Tedesco-Triccas; Ruth Turk; Ian Swain
Journal:  BMC Health Serv Res       Date:  2014-03-12       Impact factor: 2.655

Review 9.  Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots.

Authors:  Andrew Sawers; Lena H Ting
Journal:  J Neuroeng Rehabil       Date:  2014-10-06       Impact factor: 4.262

Review 10.  On the analysis of movement smoothness.

Authors:  Sivakumar Balasubramanian; Alejandro Melendez-Calderon; Agnes Roby-Brami; Etienne Burdet
Journal:  J Neuroeng Rehabil       Date:  2015-12-09       Impact factor: 4.262

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