Conversational Chat Circles

Miller, Matthew K.; Tang, John C.; Venolia, Gina; Wilkinson, Gerard; Inkpen, Kori

doi:10.1145/3025453.3025621

Cited by 31 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, to sense the engagements of virtually distributed audiences, the active attention of the performer is required [34]. Furthermore, interpreting the massive amounts of interaction data (e.g., chat messages) [76], [77] is difficult. In this study, fan staff noted these difficulties (Section IV-C4).…”

Section: B Design For Performers To Effectively Interact With Multi-p...mentioning

confidence: 99%

“…One method of supporting performers in interacting with large numbers of multiplatform audiences is to summarize their interactions and behaviors and provide them to performers. Similarly, studies have focused on designs that effectively handle massive chat messages to understand them [76]- [78]. This result can be advanced using natural language processing using AI.…”

Section: B Design For Performers To Effectively Interact With Multi-p...mentioning

confidence: 99%

See 1 more Smart Citation

“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber Concert

Lee

2023

IEEE Access

View full text Add to dashboard Cite

Streamers and celebrities are increasingly using virtual avatars as a form of online entertainment; moreover, VTubers and virtual concerts are reporting increasing viewership. Therefore, understanding the unique characteristics, phenomena, and challenges of virtual avatars is an active topic in the HCI community. We extensively investigated a VTuber's concert that was streamed on various viewing platforms and in which fans participated as voluntary creators. We surveyed 1,795 audience members and interviewed 10 voluntary creators to understand their experiences and perspectives. The survey and interview results revealed that both the platform type and perceived role of the VTuber (e.g., idol/streamer) affect the presence and immersion of audiences. We determined that the motivational context for voluntary creation and fan experience considerably influence content creation. Combining the two findings, we discussed the influences of perceived roles, fanwork experience, and viewing platforms on fandom experience. Furthermore, design implications were introduced for a future concert with virtual avatars.

show abstract

Section: B Design For Performers To Effectively Interact With Multi-p...mentioning

confidence: 99%

Section: B Design For Performers To Effectively Interact With Multi-p...mentioning

confidence: 99%

“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber Concert

Lee

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

Accountability in Brazilian Governmental Software Project: How Chat Technology Enables Social Translucence in Bug Report Activities

Tenório

Pinto

Bjørn

2018

Comput Supported Coop Work

View full text Add to dashboard Cite

Viewer types in game live streams: questionnaire development and validation

Schuck

Altmeyer

Krüger

et al. 2022

User Model User-Adap Inter

View full text Add to dashboard Cite

Producing and consuming live-streamed content is a growing trend attracting many people today. While the actual content that is streamed is diverse, one especially popular context is games. Streamers of gaming content broadcast how they play digital or analog games, attracting several thousand viewers at once. Previous scientific work has revealed that different motivations drive people to become viewers, which apparently impacts how they interact with the offered features and which streamers’ behaviors they appreciate. In this paper, we wanted to understand whether viewers’ motivations can be formulated as viewer types and systematically measured. We present an exploratory factor analysis (followed by a validation study) with which we developed a 25-item questionnaire assessing five different viewer types. In addition, we analyzed the predictive validity of the viewer types for existing and potential live stream features. We were able to show that a relationship between the assessed viewer type and preferences for streamers’ behaviors and features in a stream exists, which can guide fellow researchers and streamers to understand viewers better and potentially provide more suitable experiences.

show abstract

Conversational Chat Circles

Cited by 31 publications

References 13 publications

“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber Concert

“Ju. T’aime” My Idol, My Streamer: A Case Study on Fandom Experience as Audiences and Creators of VTuber Concert

Accountability in Brazilian Governmental Software Project: How Chat Technology Enables Social Translucence in Bug Report Activities

Viewer types in game live streams: questionnaire development and validation

Contact Info

Product

Resources

About