"I Felt Everyone Was a Streamer": An Empirical Study on What Makes Avatar Collective Streaming Engaging

Author:

Chen Qijia1ORCID,Gan Jingwen1ORCID,Bellucci Andrea2ORCID,Jacucci Giulio1ORCID

Affiliation:

1. University of Helsinki, Helsinki, Finland

2. Universidad Carlos III de Madrid Leganés, Leganés, Madrid, Spain

Abstract

A novel participatory livestreaming genre, Avatar Collective Streaming, is gaining traction. Beyond traditional audience participation mechanisms, such as chat messages or commands, these livestreams allow viewers to join, socially interact, and participate through avatars in a software-driven virtual scenario without requiring the presence of a human streamer. From observations of livestreaming sessions and interviews with regular users (n=23), we define the main features of this novel form of livestreaming and we analyze what makes it engaging for participants, as well as factors that limit the user experience. The use of avatars affords a strong sense of presence and participation, and together with the absence of a streamer, it shapes new forms of sociability, being together, and belonging. Challenges include repetitive content and overcrowding. We provide design implications for synchronous collective participation scenarios and opportunities for software-driven content generation.

Funder

European Commission

Research Council of Finland

Publisher

Association for Computing Machinery (ACM)

Reference74 articles.

1. Social Presence in Synchronous Virtual Learning Situations: The Role of Nonverbal Signals Displayed by Avatars

2. Why do people watch others eat food? An Empirical Study on the Motivations and Practices of Mukbang Viewers

3. atlas.ti. 2022. atlas.ti. Retrieved Sep 11, 2022 from https://atlasti.com/

4. Laura Aymerich-Franch, Cody Karutz, Jeremy N Bailenson, et al. 2012. Effects of facial and voice similarity on presence in a public speaking virtual environment. In Proceedings of the International Society for Presence Research Annual Conference. 24--26.

5. A Literature Review of Video-Sharing Platform Research in HCI

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