Imperial College London
Alternate

ProfessorEtienneBurdet

Faculty of Engineering, Department of Bioengineering

Professor of Human Robotics
 
 
 
//

Contact

 

e.burdet Website

 
 
//

Location

 

419BSir Michael Uren HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Ivanova:2020:10.1109/OJEMB.2020.2987885,
author = {Ivanova, E and Carboni, G and Eden, J and Krueger, J and Burdet, E},
doi = {10.1109/OJEMB.2020.2987885},
journal = {IEEE Open Journal of Engineering in Medicine and Biology},
pages = {133--139},
title = {For motion assistance humans prefer to rely on a robot rather than on an unpredictable human},
url = {http://dx.doi.org/10.1109/OJEMB.2020.2987885},
volume = {1},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Ivanova,E
AU  - Carboni,G
AU  - Eden,J
AU  - Krueger,J
AU  - Burdet,E
DO  - 10.1109/OJEMB.2020.2987885
EP  - 139
PY  - 2020///
SN  - 2644-1276
SP  - 133
TI  - For motion assistance humans prefer to rely on a robot rather than on an unpredictable human
T2  - IEEE Open Journal of Engineering in Medicine and Biology
UR  - http://dx.doi.org/10.1109/OJEMB.2020.2987885
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000653537500018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/9069170
UR  - http://hdl.handle.net/10044/1/92331
VL  - 1
ER  -
Download