User evaluation of hand gestures for designing an intelligent in-vehicle interface

Hessam Jahani*, Hasan J. Alyamani, Manolya Kavakli, Arindam Dey, Mark Billinghurst

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Driving a car is a high cognitive-load task requiring full attention behind the wheel. Intelligent navigation, transportation, and in-vehicle interfaces have introduced a safer and less demanding driving experience. However, there is still a gap for the existing interaction systems to satisfy the requirements of actual user experience. Hand gesture as an interaction medium, is natural and less visually demanding while driving. This paper aims to conduct a user-study with 79 participants to validate mid-air gestures for 18 major in-vehicle secondary tasks. We have demonstrated a detailed analysis on 900 mid-air gestures investigating preferences of gestures for in-vehicle tasks, their physical affordance, and driving errors. The outcomes demonstrate that employment of mid-air gestures reduces driving errors by up to 50% compared to traditional air-conditioning control. Results can be used for the development of vision-based in-vehicle gestural interfaces.

Original languageEnglish
Title of host publicationDesigning the digital transformation
Subtitle of host publication12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 - June 1, 2017, proceedings
EditorsAlexander Maedche, Jan vom Brocke, Alan Hevner
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages104-121
Number of pages18
ISBN (Electronic)9783319591445
ISBN (Print)9783319591438
DOIs
Publication statusPublished - 2017
Event12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017 - Karlsruhe, Germany
Duration: 30 May 20171 Jun 2017

Publication series

NameLecture notes in computer science
PublisherSpringer International Publishing AG
Volume10243
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017
CountryGermany
CityKarlsruhe
Period30/05/171/06/17

Keywords

  • Human computer interaction
  • Gesture recognition
  • In-vehicle interface
  • Human-centred design
  • User evaluation

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