Taking Object-Based Media from the Research Environment Into Mainstream Production

Armstrong, Mike; Bowman, Sally R.; Brooks, Matthew L.; Brown, Andy; Carter, Juliette; Jones, Andy; Leonard, Max; Preece, Thomas

doi:10.5594/jmi.2020.2990255

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…However, there were essential differences between computer and human brain. Due to the complexity and irregularities of natural language expression and the limitations of various machine translation methods, although workers on linguistics and computer experts came up with many methods, such as using computer simulation of the human brain function and ways of thinking, they always could not simulate the human beings' thinking [ 13 ]. In this context, ecological linguistics, as an interdisciplinary discipline, has emerged quietly.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Zhou

Gao

2022

Journal of Environmental and Public Health

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In order to analyze the innovation of computer new media-aided translation course teaching mode under the ecological environment, this paper introduces the CorpTrans system, which analyzes the practical effect of computer-aided translation system applied in the course teaching, verifies the role of the system in computer-aided translation course teaching, and plays an important role in improving students’ translation ability. At the same time, starting with the development trend of new media environment, the CorpTrans system is used to innovate the teaching mode of computer-aided translation course. The teaching ecology of the comprehensive new media translation curriculum consists of the interaction between the ecological subject of teaching and the ecological environment of teaching. Through the efforts of both teachers and students, high-quality computer-aided translation courses will contribute to cultivating compound translation talents. The innovation of teaching mode needs to be realized by this system, so as to better meet the requirements of improving the teaching level of translation courses.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Zhou

Gao

2022

Journal of Environmental and Public Health

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“…Beginning in 2012 it led the development of the Storyline Ontology – a specification for describing news stories as collections of discrete news events with associated metadata, developed in partnership with The Guardian and The Press Association (Tarling, 2014). Around this time the BBC's Research and Development department also began investing in the development of Object‐Based Media or “Flexible Media”, an ongoing effort that seeks to deconstruct audio and video content into discrete units for reassembly into personalized experiences (Armstrong et al., 2020). The BBC's News Labs innovation team begin experimenting with Structured Journalism in 2015 (BBC News Labs, 2015), work that has continued into the 2020s, with a series of projects expressing news as graphical storytelling, concept‐level “explainer” journalism and summarized news.…”

Section: Transformational Innovation In News Before Large Language Mo...mentioning

confidence: 99%

Audiences, automation, and AI: From structured news to language models

Caswell

2024

AI Magazine

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The appearance of large language models (LLMs) and other forms of generative AI portend a new era of disruption and innovation for the news industry, this time focused on the production and consumption of news rather than on its distribution. Large news organizations, however, may be surprisingly well‐prepared for at least some of this disruption because of earlier innovation work on automating workflows for personalized content and formats using structured techniques. This article reviews this work and uses examples from the British Broadcasting Corporation (BBC) and other large news providers to show how LLMs have recently been successfully applied to addressing significant barriers to the deployment of structured approaches in production, and how innovation using structured techniques has more generally framed significant editorial and product challenges that might now be more readily addressed using generative AI. Using the BBC's next‐generation authoring and publishing stack as an example, the article also discusses how earlier innovation work has influenced the design of flexible infrastructure that can accommodate uncertainty in audience behavior and editorial workflows – capabilities that are likely to be well suited to the fast‐approaching AI‐mediated news ecosystem.

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“…OBM retains content as component parts, rather than rendering a fnished artefact, and delivers these separately to the viewer. This allows media to be presented to the viewer in a personalised manner that takes into account individual needs whilst keeping overall viewing experience as a key concept in content delivery [2,20].…”

Section: Customising and Personalising Experiencesmentioning

confidence: 99%

“…Participants were also asked to report the cause of the hearing loss. This was presented as checkboxes with an 'Other' feld: Ageing (3 participants), Congenital (5), Viral Infection (4), Exposure to loud noise (6), Unknown (3), Ear Damage (1), Head Trauma (1), Otosclerosis (1), and Not Given (2). Participants reported if they used any assistive technology, with nine participants reporting using hearing aids.…”

Section: Participantsmentioning

confidence: 99%

“…Participants were asked if they regularly watch scripted entertainment with subtitles turned on: Yes (69 participants), No (32), Not Given (1). Participants reported their frequency of watching scripted entertainment with subtitles ON: Daily (36 participants), 2-3 times a week (21), Once a week (10), 1-2 times per month (18), 1-2 times per year (9), Never (6), and Not Given (2). Participants also reported frequency of watching scripted entertainment with subtitles OFF: Daily (35 participants), 2-3 times a week (24), Once a week (11), 1-2 times per month ( 14), 1-2 times per year (3), Never (14), and Not Given (2).…”

Section: Subtitle Usagementioning

confidence: 99%

See 1 more Smart Citation

Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media Adaption

Gorman

Crabb

Armstrong³

2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Subtitles can help improve the understanding of media content. People enable subtitles based on individual characteristics (e.g., language or hearing ability), viewing environment, or media context (e.g., drama, quiz show). However, some people fnd that subtitles can be distracting and that they negatively impact their viewing experience. We explore the challenges and opportunities surrounding interaction with real-time personalisation of subtitled content. To understand how people currently interact with subtitles, we frst conducted an online questionnaire with 102 participants. We used our fndings to elicit requirements for a new approach called Adaptive Subtitles that allows the viewer to alter which speakers have subtitles displayed in real-time. We evaluated our approach with 19 participants to understand the interaction trade-ofs and challenges within real-time adaptations of subtitled media. Our evaluation fndings suggest that granular controls and structured onboarding allow viewers to make informed trade-ofs when adapting media content, leading to improved viewing experiences. CCS CONCEPTS• Human-centered computing → Interaction paradigms.

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Taking Object-Based Media from the Research Environment Into Mainstream Production

Cited by 6 publications

References 2 publications

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

[Retracted] Innovation and Exploration of Computer‐Aided New Media Translation Course Teaching Mode under the Ecological Environment

Audiences, automation, and AI: From structured news to language models

Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media Adaption

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