Towards a Design Framework for Data-Driven Game Streaming: A Multi-Stakeholder Approach

Research on live streaming systems that incorporate real-time data, such as game or viewer data, have been a topic of HCI research for some time. Despite the potential of data-driven game streaming interfaces, translating this research into practice faces two key challenges. First, the design space afforded by data-driven game streaming systems is not yet well understood, making it difficult to identify how designs might meet users' existing and potential needs. Second, adoption of these systems relies on engagement with the entire streaming ecosystem, which includes developers, streamers, moderators, and viewers, rather than with just one group. Through a two-phase design study, we investigate the expectations, desires, and experiences of streaming stakeholders, shedding light on how data-driven game streaming systems can meet their needs. Building upon these insights and drawing upon previous research, we propose a design framework aimed at analyzing and generating data-driven game streaming designs, thereby moving toward formalizing the design and development of such systems.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-10-14
DOI
https://doi.org/10.1145/3677107
Citations
2
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
2.26
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article

Towards a Design Framework for Data-Driven Game Streaming: A Multi-Stakeholder Approach

Jessica Hammer, Erik Harpstead, Noor Hammad
2 citations
Proceedings of the ACM on Human-Computer Interaction
Digital Games and Media
2.26
article

Towards a Design Framework for Data-Driven Game Streaming: A Multi-Stakeholder Approach

Jessica Hammer, Erik Harpstead, Noor Hammad
article en
2 citations

Abstract

Research on live streaming systems that incorporate real-time data, such as game or viewer data, have been a topic of HCI research for some time. Despite the potential of data-driven game streaming interfaces, translating this research into practice faces two key challenges. First, the design space afforded by data-driven game streaming systems is not yet well understood, making it difficult to identify how designs might meet users' existing and potential needs. Second, adoption of these systems relies on engagement with the entire streaming ecosystem, which includes developers, streamers, moderators, and viewers, rather than with just one group. Through a two-phase design study, we investigate the expectations, desires, and experiences of streaming stakeholders, shedding light on how data-driven game streaming systems can meet their needs. Building upon these insights and drawing upon previous research, we propose a design framework aimed at analyzing and generating data-driven game streaming designs, thereby moving toward formalizing the design and development of such systems.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CHI PLAY)
Carnegie Mellon University (US)
Life in Land
Openalex Percentile: Top 10%
Digital Games and Media
2.26
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