Assessing Social Text Placement in Mixed Reality TV

Mathis, F., Zhang, X., Simeone, A. L., McGill, M. and Khamis, M. (2020) Assessing Social Text Placement in Mixed Reality TV. In: ACM International Conference on Interactive Media Experiences (IMX ’20), Barcelona, Spain, 17-19 Jun 2020, pp. 205-211. ISBN 9781450379762 (doi:10.1145/3391614.3399402)

217038.pdf - Accepted Version



TV experiences are often social, be it at-a-distance (through text) or in-person (through speech). Mixed Reality (MR) headsets offer new opportunities to enhance social communication during TV viewing by placing social artifacts (e.g. text) anywhere the viewer wishes, rather than being constrained to a smartphone or TV display. In this paper, we use VR as a test-bed to evaluate different text locations for MR TV specifically. We introduce the concepts of wall messages, below-screen messages, and egocentric messages in addition to state-of-the-art on-screen messages (i.e., subtitles) and controller messages (i.e., reading text messages on the mobile device) to convey messages to users during TV viewing experiences. Our results suggest that a) future MR systems that aim to improve viewers’ experience need to consider the integration of a communication channel that does not interfere with viewers’ primary task, that is watching TV, and b) independent of the location of text messages, users prefer to be in full control of them, especially when reading and responding to them. Our findings pave the way for further investigations towards social at-a-distance communication in Mixed Reality.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Mathis, Mr Florian and Khamis, Dr Mohamed and McGill, Dr Mark
Authors: Mathis, F., Zhang, X., Simeone, A. L., McGill, M., and Khamis, M.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Proceedings of IMX '20: ACM International Conference on Interactive Media Experiences, 17-19 June 2020, 205–211
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
309501RSE EnterpriseMohamed KhamisThe Royal Society of Edinburgh (ROYSOCED)65040Computing Science