Catch-up TV analytics: statistical characterization and consumption patterns identification on a production service

Nogueira, João; Guardalben, Lucas; Cardoso, Bernardo; Sargento, Susana

doi:10.1007/s00530-016-0516-7

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Nogueira et al [10] analysed a large dataset from a Portuguese IPTV operator. While the insights from this work are largely concerned with the technicalities of delivering video to consumers, it does offer some high-level insights into viewer behaviour.…”

Section: Barkhuus and Brownmentioning

confidence: 99%

“…For this analysis we consider each episode or separate video to a different item that is watched. Participants reported watching 481 items across 178 sessions; watching 2.7 items per session (SD = 2.7, range: [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. The largest number of items viewed in a single session was 20 YouTube videos over 90 minutes.…”

Section: Amount Of Content Viewedmentioning

confidence: 99%

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"I Can Watch What I Want"

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Gould

et al. 2018

Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video

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In recent years, on-demand video services, such as Netflix and Amazon Video, have become extremely popular. To understand how people use these services, we recruited 20 people from nine households to keep a viewing diary for 14 days. To better understand these household viewing diaries, in-depth interviews were conducted. We found that people took advantage of the freedom and choice that on-demand services offer, watching on different devices and in different locations, both in the home and outside. People often watched alone so they could watch what they wanted, rather than coming together to watch something of mutual interest. Despite this flexibility, the evening prime time continued to be the most popular time for people to watch on-demand content. Sometimes they watched for extended periods, and during interviews concerns were expressed about how on-demand services make it far too easy to watch too much and that this is often undesirable. With the rise in popularity of on-demand services, what impact is this having on how people consume video content? Largescale surveys, such as those from Ofcom [12] and Nielsen [3],

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Section: Barkhuus and Brownmentioning

confidence: 99%

Section: Amount Of Content Viewedmentioning

confidence: 99%

"I Can Watch What I Want"

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Gould

et al. 2018

Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video

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“…Lo que queda patente es que las series (tanto nacionales como extranjeras) acumulan el mayor número de espectadores en diferido durante los nueve meses de análisis: con más de 80 millones (el 67% de la muestra). Y estos resultados coinciden con los de los autores que destacan el peso de las series en la audiencia en diferido (Madinaveitia y Merchante, 2015;Nogueira, Guardalben, Cardoso & Sargento, 2016; Rodríguez-Mateos y Hernández-Pérez, 2015).…”

Section: Discusión De Los Resultadosunclassified

La importancia de la audiencia en diferido frente a la audiencia lineal en la televisión en España

Gallardo-Camacho

Lavín

2018

(OBS*)

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Esta investigación intenta cuantificar la importancia de la audiencia en diferido frente a la audiencia lineal o tradicional en el mercado televisivo en España desde una nueva perspectiva basada en la audiencia acumulada de los programas analizados. Planteamos tres hipótesis de investigación: la H1 asegura que el peso de la audiencia en diferido en España continúa siendo muy reducido cuantitativamente frente a la audiencia tradicional; la H2 determina que los géneros con mayor número de telespectadores acumulados en diferido son los vinculados a la ficción frente a los de actualidad y entretenimiento; y la H3 afirma que las series españolas generan más audiencia en diferido que las extranjeras. Para comprobar las hipótesis proponemos una metodología basada en el estudio de los 10 programas más vistos en diferido durante nueve meses pero, en este caso, nos centraremos en la audiencia acumulada de los programas y no en su frecuencia. Concluiremos que la audiencia en diferido tiene más peso de lo que pensábamos porque ya está transformando, en algunos casos, la manera en la que se determina si un programa o no ha tenido éxito. También concluiremos que los géneros de ficción son los que obtienen mayor audiencia en diferido y, primordialmente, las series españolas por el interés que el contenido local también genera en Internet. Palabras clave: audiencia en diferido, audiencia lineal, vídeo bajo demanda, televisión, géneros televisivos.

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“…They found out that users watch mostly serialized programs instead of one-off programs, they prefer content with shorter durations and entertainment genres such as comedy, drama and kids instead of news and related programs. Nogueira et al [7] performed an extensive statistical characterization of a Catch-up TV service. Results show that 42% of the programs available in the catch-up TV service are not consumed by the users and 35% of users consume more than one program, presenting a possible binge watching behavior.…”

Section: Related Workmentioning

confidence: 99%

A Large-Scale Characterization of User Behaviour in Cable TV

Goncalves,

Costa,

Couto

2016

Preprint

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Nowadays, Cable TV operators provide their users multiple ways to watch TV content, such as Live TV and Video on Demand (VOD) services. In the last years, Catch-up TV has been introduced, allowing users to watch recent broadcast content whenever they want to.Understanding how the users interact with such services is important to develop solutions that may increase user satisfaction, user engagement and user consumption. In this paper, we characterize, for the first time, how users interact with a large European Cable TV operator that provides Live TV, Catch-up TV and VOD services. We analyzed many characteristics, such as the service usage, user engagement, program type, program genres and time periods. This characterization will help us to have a deeper understanding on how users interact with these different services, that may be used to enhance the recommendation systems of Cable TV providers.

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Catch-up TV analytics: statistical characterization and consumption patterns identification on a production service

Cited by 8 publications

References 9 publications

"I Can Watch What I Want"

"I Can Watch What I Want"

La importancia de la audiencia en diferido frente a la audiencia lineal en la televisión en España

A Large-Scale Characterization of User Behaviour in Cable TV

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