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Gaze+RST: Integrating Gaze and Multitouch for Remote Rotate-Scale-Translate Tasks

Published:18 April 2015Publication History

ABSTRACT

Our work investigates the use of gaze and multitouch to fluidly perform rotate-scale-translate (RST) tasks on large displays. The work specifically aims to understand if gaze can provide benefit in such a task, how task complexity affects performance, and how gaze and multitouch can be combined to create an integral input structure suited to the task of RST. We present four techniques that individually strike a different balance between gaze-based and touch-based translation while maintaining concurrent rotation and scaling operations. A 16 participant empirical evaluation revealed that three of our four techniques present viable options for this scenario, and that larger distances and rotation/scaling operations can significantly affect a gaze-based translation configuration. Furthermore we uncover new insights regarding multimodal integrality, finding that gaze and touch can be combined into configurations that pertain to integral or separable input structures.

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    • Published in

      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123

      Copyright © 2015 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: 18 April 2015

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      CHI '15 Paper Acceptance Rate486of2,120submissions,23%Overall Acceptance Rate6,199of26,314submissions,24%

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