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abstract

Supernumerary Arms for Gestural Communication

Published:20 April 2018Publication History

ABSTRACT

Cyborgs are human-machine hybrids with organic and mechatronic body parts. Like humans, cyborgs may use their additional body parts for physical tasks and communication. In this study, we investigate how additional arms can be used to communicate. While using additional arms to perform physical tasks has been researched, using them to communicate is an area that is largely unexplored. Our study is divided into three stages: a pilot study, implementation, and a user study. In this paper, we discuss our efforts as related to the first two stages of our study. The pilot study was used to determine user expectations for the arms. Participants found the arms effective for describing an area from a fixed location. Users also preferred additional arms that can be controlled and are physically similar to their existing arms. Our prototype consists of a virtual mirror that augments the user's body with additional arms. We discuss future directions for improving our implementation and outline a plan for the user study.

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References

  1. Susan Goldin-Meadow. 1999. The role of gesture in communication and thinking. Trends in Cognitive Sciences 3, 11: 419--429Google ScholarGoogle ScholarCross RefCross Ref
  2. Kris Liu, Jackson Tolins, Jean E. Fox Tree, Michael Neff, and Marilyn A. Walker. 2016. Two Techniques for Assessing Virtual Agent Personality. IEEE Trans. Affect. Comput. 7, 1: 94--105. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Baldin Llorens-Bonilla, Federico Parietti, and Harry Asada. 2012. Demonstration-based control of supernumerary robotic limbs. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3936--3942.Google ScholarGoogle ScholarCross RefCross Ref
  4. Manja Lohse, Reinier Rothuis, Jorge Gallego-Pérez, Daphne E. Karreman, and Vanessa Evers. 2014. Robot gestures make difficult tasks easier: the impact of gestures on perceived workload and task performance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). 1459--1466. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. William Steptoe, Anthony Steed, and Mel Slater. 2013. Human Tails: Ownership and Control. IEEE Transactions on Visualization and Computer Graphics 19, 4: 583--590. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Andrea Stevenson Won, Jeremy Bailenson, Jimmy Lee, Jaron Lanier. 2015. Homuncular Flexibility in Virtual Reality. Journal of Computer-Mediated Communication 20: 241--259. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Supernumerary Arms for Gestural Communication

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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

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      Acceptance Rates

      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

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