Please use this identifier to cite or link to this item: doi:10.22028/D291-36730
Title: Viewer types in game live streams: questionnaire development and validation
Author(s): Schuck, Patrick
Altmeyer, Maximilian
Krüger, Antonio
Lessel, Pascal
Language: English
Title: User Modeling and User-Adapted Interaction
Publisher/Platform: Springer Nature
Year of Publication: 2022
Free key words: Games
Scale development
Scale validation
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: 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 pop ular 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’ motiva tions 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 fea tures. 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.
DOI of the first publication: 10.1007/s11257-022-09328-9
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-367305
ISSN: 1573-1391
Date of registration: 11-Jul-2022
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Antonio Krüger
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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