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Interacting with Maps on Optical Head-Mounted Displays

Published:15 October 2016Publication History

ABSTRACT

This paper explores the design space for interacting with maps on Optical (See-Through) Head-Mounted Displays (OHMDs). The resulting interactions were evaluated in a comprehensive experiment involving 31 participants. More precisely, novel head-based interactions were compared with well-known haptic interactions on an OHMD regarding efficiency, effectiveness, user experience and perceived cognitive workload. The tasks involved navigating on maps by panning, zooming, and both panning and zooming. The results suggest that interaction methods exploiting congruent spatial relationships, i.e., mappings between the same axis in the control and display space, outperform others. In particular, the head-based interactions incorporating such mappings, significantly outperformed the haptic interactions for tasks involving panning, and combined tasks of panning and zooming.

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              • Published in

                cover image ACM Conferences
                SUI '16: Proceedings of the 2016 Symposium on Spatial User Interaction
                October 2016
                236 pages
                ISBN:9781450340687
                DOI:10.1145/2983310

                Copyright © 2016 ACM

                Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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                Publication History

                • Published: 15 October 2016

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                SUI '16 Paper Acceptance Rate20of77submissions,26%Overall Acceptance Rate86of279submissions,31%

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