ArticleAddictive behaviors reports2021
BWDAT: A research tool for analyzing the consumption of VOD content at home.
Article in Addictive behaviors reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Binge behaviors: Assessment, determinants, and consequences.Addictive behaviors reports · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNew approaches to the study of the binge-watching phenomenon require new technology, leading to the development of a non-intrusive and low-cost analytical research software that facilitates a holistic understanding of binge-watching in an uncontrolled environment remotely (e.g., the home). BWDAT was developed to allow the collection of three types of data: users' physiological data gathered from a smartwatch, users' interactions from video-on-demand interfaces, and self-reported data. This tool offers the possibility to generate automatic data analysis reports, facilitating researchers' data analysis tasks.
methodsTwo trial studies and a long-term study were used to evaluate the design and the technical implementation of the BWDAT tool. The metrics used were the BWDAT smartwatch's App data coverage of the viewing sessions, and the data's reliability of the viewer's interactions with the Netflix interface, collected by the BWDAT Chrome Extension.
resultsHigh percentages of data coverage and content coverage were verified in the sessions collecting the smartwatch's data. The reporting system developed proved to be useful in the collection and synchronization of physiological and users' interaction data with Netflix interface, both generated in uncontrolled environments. Furthermore, the BWDAT tool facilitated the analysis of a large amount of nuanced data.
conclusionThe results obtained confirm the reliability, accuracy, and usability of BWDAT. This tool has the potential to help researchers shed new light on the field of media and audience studies, and in particular on binge-watching.
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Registered trials
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