NDLI: Comparison of three implementations of HeadTurn: a multimodal interaction technique with gaze and head turns

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Comparison of three implementations of HeadTurn: a multimodal interaction technique with gaze and head turns

Content Provider	ACM Digital Library
Author	Isokoski, Poika Raisamo, Roope Rantala, Jussi Akkil, Deepak Špakov, Oleg Kangas, Jari
Abstract	The best way to construct user interfaces for smart glasses is not yet known. We investigated the use of eye tracking in this context in two experiments. The eye and head movements were combined so that one can select the object to interact by looking at it and then change a setting in that object by turning the head horizontally. We compared three different techniques for mapping the head turn to scrolling a list of numbers with and without haptic feedback. We found that the haptic feedback had no noticeable effect in objective metrics, but it sometimes improved user experience. Direct mapping of head orientation to list position is fast and easy to understand, but the signal-to-noise ratio of eye and head position measurement limits the possible range. The technique with constant rate of change after crossing the head angle threshold was simple and functional, but slow when the rate of change is adjusted to suit beginners. Finally the rate of change dependent on the head angle tends to lead to fairly long task completion times, although in theory it offers a good combination of speed and accuracy. .
Starting Page	289
Ending Page	296
Page Count	8
File Format	PDF
ISBN	9781450345569
DOI	10.1145/2993148.2993153
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Haptic feedback Head moves Gaze interaction
Content Type	Text
Resource Type	Article

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