Watching Together but Apart: Shared Video Experiences During COVID-19 Outbreak

Jannik Munk Bryld; Lucas Schønrock; Anders Sundnes Løvlie; Louise Barkhuus

doi:10.6084/m9.figshare.c.5020919.v3

Watching Together but Apart: Shared Video Experiences During COVID-19 Outbreak

Jannik Munk Bryld, Lucas Schønrock, Anders Sundnes Løvlie, Louise Barkhuus

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Watching television together in the living room is a joyful and social activity that most people can relate to. As a result of the ongoing COVID19 outbreak, many friends and family members are separated due to national lockdowns and quarantine. In this demo we show how a web application can support real-time socially based video-content by facilitating a virtual living room for friends and family where they can watch synchronized video content while interacting. Our prototype uses readily available web-technologies, allowing users to get started in just one click by logging in with their existing YouTube account. Data from the YouTube API are then fed into novel recommender algorithms that then suggest videos based on the user’s collective interests.
Info available at https://beta.letswatch.net

Originalsprog	Engelsk
Titel	Adjunct Proceedings of the ACM International Conference on Interactive Media Experiences (IMX) 2020
Forlag	Association for Computing Machinery
Publikationsdato	17 jun. 2020
DOI	https://doi.org/10.6084/m9.figshare.c.5020919.v3
Status	Udgivet - 17 jun. 2020

Emneord

Virtual living room
Synchronized video content
Web-based social interaction
YouTube API
Recommender algorithms

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10.6084/m9.figshare.c.5020919.v3Licens: CC BY

Watching Together but Apart: Shared Video Experiences during the COVID19 OutbreakForlagets udgivne version, 173 KBLicens: CC BY

https://figshare.com/articles/conference_contribution/Demo7_-_Bryld_Sch_nrock_L_vlie_Barkhuus/12496727Licens: CC BY

Citationsformater

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title = "Watching Together but Apart: Shared Video Experiences During COVID-19 Outbreak",

abstract = "Watching television together in the living room is a joyful and social activity that most people can relate to. As a result of the ongoing COVID19 outbreak, many friends and family members are separated due to national lockdowns and quarantine. In this demo we show how a web application can support real-time socially based video-content by facilitating a virtual living room for friends and family where they can watch synchronized video content while interacting. Our prototype uses readily available web-technologies, allowing users to get started in just one click by logging in with their existing YouTube account. Data from the YouTube API are then fed into novel recommender algorithms that then suggest videos based on the user{\textquoteright}s collective interests.Info available at https://beta.letswatch.net",

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booktitle = "Adjunct Proceedings of the ACM International Conference on Interactive Media Experiences (IMX) 2020",

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Watching Together but Apart: Shared Video Experiences During COVID-19 Outbreak. / Bryld, Jannik Munk; Schønrock, Lucas; Løvlie, Anders Sundnes et al.
Adjunct Proceedings of the ACM International Conference on Interactive Media Experiences (IMX) 2020. Association for Computing Machinery, 2020.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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AU - Løvlie, Anders Sundnes

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AB - Watching television together in the living room is a joyful and social activity that most people can relate to. As a result of the ongoing COVID19 outbreak, many friends and family members are separated due to national lockdowns and quarantine. In this demo we show how a web application can support real-time socially based video-content by facilitating a virtual living room for friends and family where they can watch synchronized video content while interacting. Our prototype uses readily available web-technologies, allowing users to get started in just one click by logging in with their existing YouTube account. Data from the YouTube API are then fed into novel recommender algorithms that then suggest videos based on the user’s collective interests.Info available at https://beta.letswatch.net

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KW - YouTube API

KW - Recommender algorithms

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Watching Together but Apart: Shared Video Experiences During COVID-19 Outbreak

Abstract

Emneord

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Citationsformater