@inproceedings{03bbe59ebb5e4913b4f3a237287e86fe,
title = "User evaluation of hand gestures for designing an intelligent in-vehicle interface",
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.",
keywords = "Human computer interaction, Gesture recognition, In-vehicle interface, Human-centred design, User evaluation",
author = "Hessam Jahani and Alyamani, {Hasan J.} and Manolya Kavakli and Arindam Dey and Mark Billinghurst",
year = "2017",
doi = "10.1007/978-3-319-59144-5_7",
language = "English",
isbn = "9783319591438",
series = "Lecture notes in computer science",
publisher = "Springer, Springer Nature",
pages = "104--121",
editor = "Alexander Maedche and {vom Brocke}, Jan and Alan Hevner",
booktitle = "Designing the digital transformation",
address = "United States",
note = "12th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2017 ; Conference date: 30-05-2017 Through 01-06-2017",
}