Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16724
Title: Multi-Viewer Gesture-Based Interaction for Omni-Directional Video
Authors: ROVELO RUIZ, Gustavo 
VANACKEN, Davy 
LUYTEN, Kris 
Abad, Francisco
Camahort, Emilio
Issue Date: 2014
Publisher: ACM
Source: ACM SIGCHI, p. 4077-4086
Abstract: Omni-directional video (ODV) is a novel medium that offers viewers a 360° panoramic recording. This type of content will become more common within our living rooms in the near future, seeing that immersive displaying technologies such as 3D television are on the rise. However, little attention has been given to how to interact with ODV content. We present a gesture elicitation study in which we asked users to perform mid-air gestures that they consider to be appropriate for ODV interaction, both for individual as well as collocated settings. We are interested in the gesture variations and adaptations that come forth from individual and collocated usage. To this end, we gathered quantitative and qualitative data by means of observations, motion capture, questionnaires and interviews. This data resulted in a user-defined gesture set for ODV, alongside an in-depth analysis of the variation in gestures we observed during the study.
Keywords: gesture elicitation; user-defined gestures; omni-directional video; multi-user interaction
Document URI: http://hdl.handle.net/1942/16724
ISBN: 978-1-4503-2473-1
DOI: 10.1145/2556288.2557113
Rights: 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 permissions@acm.org.
Category: C1
Type: Proceedings Paper
Validations: vabb 2017
Appears in Collections:Research publications

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