research-article

Evaluation of HeadTurn: An Interaction Technique Using the Gaze and Head Turns

Authors:

Tomi Nukarinen,

Poika Isokoski,

Roope RaisamoAuthors Info & Claims

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

Article No.: 43, Pages 1 - 8

https://doi.org/10.1145/2971485.2971490

Published: 23 October 2016 Publication History

Abstract

Smart glasses equipped with eye tracking technology could be utilized to develop natural interaction techniques. They could be used to conveniently interact with an electronic appliance in the environment from a distance. We describe a technique, HeadTurn, that allows a user to look at a device and then control it by turning the head to the left or right. We evaluated HeadTurn using an interface that linked head turning to increasing or decreasing of a number shown on a display. The task was to adjust then number to a given value. We studied the optimal rate at which number should change once the angle of head turn exceed a predefined threshold. We varied the rate of change of the number (217, 290, and 435ms per change) and the feedback (visual, haptic+visual). In the haptic condition, a 20 millisecond vibration was given through vibrating eye glass frame with each number change. Participants completed number selections faster with shorter intervals but also overshot the target more often. Seven out of 12 participants preferred the middle number changing speed (i.e., 290 ms). There were no statistically significant differences in task completion times. The optimal change rate of the numbers seems to be a compromise between faster selection and overshooting. Haptic feedback made the interaction slightly faster but the difference was not significant. The participants rated their experience with the technique as positive in general.

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Index Terms

Evaluation of HeadTurn: An Interaction Technique Using the Gaze and Head Turns
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Other conferences

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

October 2016

1045 pages

ISBN:9781450347631

DOI:10.1145/2971485

General Chairs:
Staffan Björk
University of Gothenburg
,
Eva Eriksson
Chalmers University of Technology
,
Program Chairs:
Morten Fjeld
Chalmers University of Technology
,
Susanne Bødker
University of Aarhus
,
Publications Chairs:
Wolmet Barendregt
University of Gothenburg
,
Mohammad Obaid
Chalmers University of Technology

Copyright © 2016 ACM.

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Chalmers University of Technology
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 23 October 2016

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Suomen Akatemia

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NordiCHI '16

NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction

October 23 - 27, 2016

Gothenburg, Sweden

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NordiCHI '16 Paper Acceptance Rate 58 of 231 submissions, 25%;

Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

Drewes HFanger YMayer S(2024)Hands-free Selection in Scroll Lists for AR DevicesProceedings of Mensch und Computer 202410.1145/3670653.3670671(323-330)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670671
Hou BNewn JSidenmark LKhan AGellersen H(2024)GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free PointingProceedings of the ACM on Human-Computer Interaction10.1145/36556018:ETRA(1-20)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655601
Xie WChen HWei JZhang JZhang Q(2024)RimSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314567:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631456
Tian JWang YYu KXu LXie JLi FNiu YFan M(2024)Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VRProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642884(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642884
Lai YSun MLi Z(2024)GazePuffer: Hands-Free Input Method Leveraging Puff Cheeks for VR2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00055(331-341)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00055
Futami KOyama KMurao K(2022)Augmenting Ear Accessories for Facial Gesture Input Using Infrared Distance Sensor ArrayElectronics10.3390/electronics1109148011:9(1480)Online publication date: 5-May-2022
https://doi.org/10.3390/electronics11091480
Shen XYan YYu CShi Y(2022)ClenchClickProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503276:3(1-26)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550327
Zhao XFan MHan T(2022)“I Don’t Want People to Look At Me Differently”Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517552(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517552
Vatavu RUngurean O(2022)Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor ImpairmentsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501964(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501964
Yi XLu YCai ZWu ZWang YShi Y(2022)GazeDock: Gaze-Only Menu Selection in Virtual Reality using Auto-Triggering Peripheral Menu2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00105(832-842)Online publication date: Mar-2022
https://doi.org/10.1109/VR51125.2022.00105
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