Designing a user-defined gesture vocabulary for an in-vehicle climate control system

Hessam Jahani Fariman, Hasan J. Alyamani, Manolya Kavakli, Len Hamey

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

7 Citations (Scopus)

Abstract

Hand gestures are a suitable interface medium for in-vehicle interfaces. They are intuitive and natural to perform, and less visually demanding while driving. This paper aims at analysing human gestures to define a preliminary gesture vocabulary for in-vehicle climate control using a driving simulator. We conducted a user-elicitation experiment on 22 participants performing two driving scenarios with different levels of cognitive load. The participants were filmed while performing natural gestures for manipulating the air-conditioning inside the vehicle. Comparisons are drawn between the proposed approach to define a vocabulary using 9 new gestures (GestDrive) and previously suggested methods. The outcomes demonstrate that GestDrive is successful in describing the employed gestures in detail.

Original languageEnglish
Title of host publicationProceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016
EditorsCallum Parker
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery, Inc
Pages391-395
Number of pages5
ISBN (Electronic)9781450346184
DOIs
Publication statusPublished - 29 Nov 2016
Event28th Australian Computer-Human Interaction Conference, OzCHI 2016 - Launceston, Australia
Duration: 29 Nov 20162 Dec 2016

Other

Other28th Australian Computer-Human Interaction Conference, OzCHI 2016
CountryAustralia
CityLaunceston
Period29/11/162/12/16

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Keywords

  • Driving simulator
  • Gestural interface
  • Gesture recognition
  • In-vehicle interface
  • User-elicitation

Cite this

Fariman, H. J., Alyamani, H. J., Kavakli, M., & Hamey, L. (2016). Designing a user-defined gesture vocabulary for an in-vehicle climate control system. In C. Parker (Ed.), Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016 (pp. 391-395). New York, NY: Association for Computing Machinery, Inc. https://doi.org/10.1145/3010915.3010955