A face vector - the point instruction-type interface for manipulation of an extended body in dual-task situations

Yukiko Iwasaki, Hiroyasu Iwata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A human's work efficiency can be improved in many situations if performing two different tasks simultaneously is possible. In recent years, various robotic extended bodies and its control interfaces have been proposed for assisting manual work. Most of these interfaces are path control-type operation and have been verified under single-task situations; however, their usability with respect to voluntariness and intuitiveness in a dual-task situation has not been addressed. In this paper, we focus on point instruction-type operation that can be used together with conventional path control-type operation in order to improve the control intuitiveness, and propose a new interface 'face vector' which can point at 3-dimensional target position in non-task-oriented environment. The voluntariness and intuitiveness of proposed modality is discussed by measuring its pointing accuracy and effect on work efficiency in dual-task conditions. The results show that numerical data of pointing accuracy of face vector in single and dual task conditions, and indicates that proposed interface is enough intuitive not to reduce the work efficiency.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages662-666
Number of pages5
ISBN (Electronic)9781538673553
DOIs
Publication statusPublished - 2019 Jan 14
Event2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 - Shenzhen, China
Duration: 2018 Oct 252018 Oct 27

Publication series

Name2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018

Conference

Conference2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Country/TerritoryChina
CityShenzhen
Period18/10/2518/10/27

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

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