Kokkinakis, Athanasios, Demediuk, Simon Peter, Nölle, Isabelle et al. (14 more authors) (Accepted: 2020) DAX: Data-Driven Audience Experiences in Esports. In: Proceedings of ACM International Conference on Interactive Media Experience (IMX) 2020. ACM , pp. 94-105. (In Press)
Abstract
Esports(competitivevideogames)havegrownintoaglobalphenomenon with over 450m viewers and a 1.5bn USD market. Esports broadcasts follow a similar structure to traditional sports. However, due to their virtual nature, a large and detailed amount data is available about in-game actions not currently accessible in traditional sport. This provides an opportunity to incorporate novel insights about complex aspects of gameplay into the audience experience – enabling more in-depth coverage for experienced viewers, and increased accessibility for newcomers. Previous research has only explored a limited range of ways data could be incorporated into esports viewing (e.g. data visualizations post-match) and only a few studies have investigated how the presentation of statistics impacts spectators’ experiences and viewing behaviors. We present Weavr, a companion app that allows audiences to consume datadriven insights during and around esports broadcasts. We report on deployments at two major tournaments, that provide ecologically valid findings about how the app’s features were experienced by audiences and their impact on viewing behavior. We discuss implications for the design of second-screen apps for live esports events, and for traditional sports as similar data becomes available for them via improved tracking technologies.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Theatre, Film, TV and Interactive Media (York) The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Apr 2020 13:40 |
Last Modified: | 19 Feb 2025 00:05 |
Status: | In Press |
Publisher: | ACM |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160015 |
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Description: TV_X_Conference__Data_Driven_Audience_Experiences_in_Esports__January_2020___Accepted Pre-Print Version