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Augmenting Multi-Party Face-to-Face Interactions Amongst Strangers with User Generated Content

Authors:

David McgookinAuthors Info & Claims

Computer Supported Cooperative Work, Volume 26, Issue 4-6

Pages 527 - 562

https://doi.org/10.1007/s10606-017-9281-1

Published: 01 December 2017 Publication History

Abstract

We present the results of an investigation into the role of curated representations of self, which we term Digital Selfs, in augmented multi-party face-to-face interactions. Advancements in wearable technologies (such as Head-Mounted Displays) have renewed interest in augmenting face-to-face interaction with digital content. However, existing work focuses on algorithmic matching between users, based on data-mining shared interests from individuals' social media accounts, which can cause information that might be inappropriate or irrelevant to be disclosed to others. An alternative approach is to allow users to manually curate the digital augmentation they wish to present to others, allowing users to present those aspects of self that are most important to them and avoid undesired disclosure. Through interviews, video analysis, questionnaires and device logging, of 23 participants in 6 multi-party gatherings where individuals were allowed to freely mix, we identified how users created Digital Selfs from media largely outside existing social media accounts, and how Digital Selfs presented through HMDs were employed in multi-party interactions, playing key roles in facilitating strangers to interact with each other. We present guidance for the design of future multi-party digital augmentations in collaborative scenarios.

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cover image Computer Supported Cooperative Work

Computer Supported Cooperative Work Volume 26, Issue 4-6

December 2017

611 pages

ISSN:0925-9724

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Copyright © Copyright © 2017 Springer Science+Business Media B.V.

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Kluwer Academic Publishers

United States

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Published: 01 December 2017

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Pohl H(2024)Body-Based Augmented Reality Feedback During ConversationsProceedings of the ACM on Human-Computer Interaction10.1145/36764918:MHCI(1-22)Online publication date: 24-Sep-2024
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