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

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

doi:10.1145/3152771.3152785

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

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

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

10 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 language	English
Title of host publication	Proceedings of the 29th Australian Computer-Human Interaction Conference
Subtitle of host publication	Human-Nature, OzCHI 2017
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	126-134
Number of pages	9
ISBN (Electronic)	9781450353793
DOIs	https://doi.org/10.1145/3152771.3152785
Publication status	Published - 28 Nov 2017
Event	29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, Australia Duration: 28 Nov 2017 → 1 Dec 2017

Conference

Conference	29th Australian Computer-Human Interaction Conference, OzCHI 2017
Country/Territory	Australia
City	Brisbane
Period	28/11/17 → 1/12/17

Keywords

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

Access to Document

10.1145/3152771.3152785

Cite this

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title = "Towards optimization of mid-air gestures for in-vehicle interactions",

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.",

keywords = "Driving simulator, Gesture recognition, In-vehicle interface, Optimization, User-evaluation",

author = "{Jahani F.}, Hessam and Massimo Zancanaro and Manolya Kavakli and Mark Billinghurst",

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doi = "10.1145/3152771.3152785",

language = "English",

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booktitle = "Proceedings of the 29th Australian Computer-Human Interaction Conference",

publisher = "Association for Computing Machinery (ACM)",

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note = "29th Australian Computer-Human Interaction Conference, OzCHI 2017 ; Conference date: 28-11-2017 Through 01-12-2017",

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Jahani F., H, Zancanaro, M, Kavakli, M & Billinghurst, M 2017, Towards optimization of mid-air gestures for in-vehicle interactions. in Proceedings of the 29th Australian Computer-Human Interaction Conference: Human-Nature, OzCHI 2017. Association for Computing Machinery (ACM), New York, pp. 126-134, 29th Australian Computer-Human Interaction Conference, OzCHI 2017, Brisbane, Australia, 28/11/17. https://doi.org/10.1145/3152771.3152785

Towards optimization of mid-air gestures for in-vehicle interactions. / Jahani F., Hessam; Zancanaro, Massimo; Kavakli, Manolya et al.
Proceedings of the 29th Australian Computer-Human Interaction Conference: Human-Nature, OzCHI 2017. New York: Association for Computing Machinery (ACM), 2017. p. 126-134.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

KW - Driving simulator

KW - Gesture recognition

KW - In-vehicle interface

KW - Optimization

KW - User-evaluation

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BT - Proceedings of the 29th Australian Computer-Human Interaction Conference

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

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Keywords

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