Optimal consensus intuitive hand gesture vocabulary design

Helman I. Stem, Juan P. Wachs, Yael Edan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

45 Scopus citations

Abstract

Gesture interfaces are needed for natural intuitive communication with machine devices. Hand gesture intuitiveness is the cognitive association between a command or intent, and its physical gestural expression. Using an automated tool we quantified intuitive indices for static gesture commands for a car navigation task. A small number of gestures were selected to express most of the commands with 1/3 used only by single individuals. This followed a power function analogous to Zipf's Law for languages. We found gesture preferences to be highly individualized, providing evidence to refute the hypothesis of the universality of gestures. A mathematical program was formulated to obtain a consensus gesture vocabulary for a car navigation system with the objective of maximizing total intuitiveness. We also introduced the notion of complex consensus gesture vocabularies in which multi-gestures are associated with single commands and multi-commands are associated with single gestures. We recommend hybrid gesture vocabularies, decided by consensus with several gestures selected individually.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Pages96-103
Number of pages8
DOIs
StatePublished - 25 Sep 2008
Event2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA, United States
Duration: 4 Aug 20087 Aug 2008

Publication series

NameProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008

Conference

Conference2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
Country/TerritoryUnited States
CitySanta Clara, CA
Period4/08/087/08/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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