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Using bio-electrical signals to influence the social behaviours of domesticated robots

Published: 09 March 2009 Publication History

Abstract

Several emerging computer devices read bio-electrical signals (e.g., electro-corticographic signals, skin biopotential or facial muscle tension) and translate them into computer- understandable input. We investigated how one low-cost commercially-available device could be used to control a domestic robot. First, we used the device to issue direct motion commands; while we could control the device somewhat, it proved difficult to do reliably. Second, we interpreted one class of signals as suggestive of emotional stress, and used that as an emotional parameter to influence (but not directly control) robot behaviour. In this case, the robot would react to human stress by staying out of the person's way. Our work suggests that affecting behaviour may be a reasonable way to leverage such devices.

References

[1]
José Millán, Frédéric Renkensb, Josep Mouriñoc, and Wulfram Gerstnerb. Non-Invasive Brain-Actuated Control of a Mobile Robot by Human EEG. IEEE Trans. on Biomedical Engineering, Vol 51, June 2004.
[2]
OCZ Peripherals. Neural Impulse Actuator. http://www.ocztechnology.com/products/ocz_peripherals/nia-neural_impulse_actuator. Retrieved December, 2008.
[3]
TechRadar.com. OCZ Neural Impulse Actuator Review. Reviewed on July 3rd, (2008) and retrieved December, 2008. http://www.techradar.com/products/computing/peripherals/input-devices/other/ocz-neural-impulse-actuator-269721/review

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  • (2023)EEG-Based Brain-Computer Interactions in Immersive Virtual and Augmented Reality: A Systematic ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35932267:EICS(1-33)Online publication date: 19-Jun-2023
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  • (2018)A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRIJournal of Intelligent and Robotic Systems10.1007/s10846-015-0259-282:1(101-133)Online publication date: 30-Dec-2018
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Published In

cover image ACM Conferences
HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
March 2009
348 pages
ISBN:9781605584041
DOI:10.1145/1514095

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2009

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Author Tags

  1. bio-electric signals
  2. emotional control
  3. emotional instrument
  4. irobot? roomba?
  5. ocz nia
  6. robots

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HRI09
HRI09: International Conference on Human Robot Interaction
March 9 - 13, 2009
California, La Jolla, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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ACM/IEEE International Conference on Human-Robot Interaction
March 4 - 6, 2025
Melbourne , VIC , Australia

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Cited By

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  • (2023)EEG-Based Brain-Computer Interactions in Immersive Virtual and Augmented Reality: A Systematic ReviewProceedings of the ACM on Human-Computer Interaction10.1145/35932267:EICS(1-33)Online publication date: 19-Jun-2023
  • (2021)Speed controller-based fuzzy logic for a biosignal-feedbacked cycloergometerComputer Methods in Biomechanics and Biomedical Engineering10.1080/10255842.2021.197779925:7(750-763)Online publication date: 11-Sep-2021
  • (2018)A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRIJournal of Intelligent and Robotic Systems10.1007/s10846-015-0259-282:1(101-133)Online publication date: 30-Dec-2018
  • (2015)A Crossover Operation for Evolutionary Binary Decision Diagram to Acquire Humanoid Robot MotionsJournal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.27.84527:6(845-853)Online publication date: 2015
  • (2015)Robot ergonomics: A case study of chair design for Roomba2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2015.7333566(246-251)Online publication date: Aug-2015
  • (2015)Touch-based information transfer from a robot modeled on the hearing dog2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2015.7337981(1-6)Online publication date: Aug-2015
  • (2015)Designing the robot inclusive space challengeDigital Communications and Networks10.1016/j.dcan.2015.09.0051:4(267-274)Online publication date: Nov-2015
  • (2014)Design principles for robot inclusive spaces: A case study with Roomba2014 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA.2014.6907681(5593-5599)Online publication date: May-2014
  • (2014)A crossover operation for evolutionary binary decision diagrams2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ-IEEE.2014.6891737(1000-1005)Online publication date: Jul-2014
  • (2014)Navigation Control of a Robot from a Remote Location via the Internet Using Brain-Machine InterfaceRobot Intelligence Technology and Applications 210.1007/978-3-319-05582-4_26(297-310)Online publication date: 2014
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