Towards optimization of mid-air gestures for in-vehicle interactions

Hessam Jahani F., Massimo Zancanaro, Manolya Kavakli, Mark Billinghurst

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

6 Citations (Scopus)

Abstract

A mid-air gesture-based interface could provide a less cumbersome in-vehicle interface for a safer driving experience. Despite the recent developments in gesture-driven technologies facilitating the multi-touch and mid-air gestures, interface safety requirements as well as an evaluation of gesture characteristics and functions, need to be explored. This paper describes an optimization study on the previously developed GestDrive gesture vocabulary for in-vehicle secondary tasks. We investigate mid-air gestures and secondary tasks, their correlation, confusions, unintentional inputs and consequential safety risks. Building upon a statistical analysis, the results.

Original languageEnglish
Title of host publicationProceedings of the 29th Australian Computer-Human Interaction Conference
Subtitle of host publicationHuman-Nature, OzCHI 2017
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages126-134
Number of pages9
ISBN (Electronic)9781450353793
DOIs
Publication statusPublished - 28 Nov 2017
Event29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, Australia
Duration: 28 Nov 20171 Dec 2017

Conference

Conference29th Australian Computer-Human Interaction Conference, OzCHI 2017
CountryAustralia
CityBrisbane
Period28/11/171/12/17

Keywords

  • Driving simulator
  • Gesture recognition
  • In-vehicle interface
  • Optimization
  • User-evaluation

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