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Estimating Audience Engagement for Prediction: A Survey

Shritika Wayker
2019 International Journal for Research in Applied Science and Engineering Technology  
To bypass these issues, this survey paper represents the various techniques used in facial expression detection from crowd-sourced for ratings and demonstrates its sentiment predictive capability.  ...  While watching movies, an audience may express both nice and vulgar gestures (emotion) like; smiles, head-pose change, fidgeting, stretching which convey sentiment in form of engaged or disengaged during  ...  PREDICTING MOVIE RATINGS Finally, inspect the effect of engagement analysis framework to the assignment of movie prediction.  ... 
doi:10.22214/ijraset.2019.5405 fatcat:6bwttvehpjhf7pz52vi4mmrxe4

Estimating Audience Engagement/Disengagement while Watching a Video

Prof. Archana Kale
2019 International Journal for Research in Applied Science and Engineering Technology  
There needs to develop a system which can estimate audience engagement and give the correct prediction of movie rating.  ...  Such engaged or disengagement will help to predict movie rating. Observing these behaviors using computer vision systems is a very challenging task especially in a movie theatre environment.  ...  Visual appearance helps to estimate audience engagement during various segments of the movie. Audience engagement estimate using parameters like engaged and disengaged.  ... 
doi:10.22214/ijraset.2019.6083 fatcat:opkhvi55fjbb7fx23ovtlebuxu

Does Movie Violence Increase Violent Crime?*

Gordon Dahl, Stefano DellaVigna
2009 Quarterly Journal of Economics  
The effect is partly due to voluntary incapacitation: between 6PM and 12AM, a one million increase in the audience for violent movies reduces violent crime by 1.1 to 1.3 percent.  ...  We would like to thank kids-in-mind.com for generously providing their movie violence ratings. Scott Baker and Thomas Barrios provided excellent research assistance.  ...  We can use our baseline estimates to calculate the change in assaults that would occur if the audience of violent movies did not go to the movies, but instead engaged in their next best alternative.  ... 
doi:10.1162/qjec.2009.124.2.677 fatcat:t6uz5wjre5bo7a5m4tvygiflsa

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain Matthews, Greg Mori
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We apply our approach to a large dataset of facial expressions of moviewatching audiences (over 16 million faces).  ...  Our approach is well-suited for settings where the relationship between the latent representation to be learned and the raw data representation is highly complex.  ...  [35] where, they measured the distribution of shortterm correlations of audience motions to predict the overall rating of a movie. Collaborative Filtering.  ... 
doi:10.1109/cvpr.2017.637 dblp:conf/cvpr/DengN0MYMM17 fatcat:cje34hrjwnawlk3jhhmevunfjm

Finding Nemo: Predicting Movie Performances by Machine Learning Methods

Jong-Min Kim, Leixin Xia, Iksuk Kim, Seungjoo Lee, Keon-Hyung Lee
2020 Journal of Risk and Financial Management  
Artificial intelligence and machine learning methods in the movie industry have been applied to modeling the financial success of the movie industry.  ...  We also attempt to compare machine learning methods including the quantile regression model with movie performance data in terms of in-sample and out of sample forecasting.  ...  Acknowledgments: We are thankful to two anonymous referees for their meaningful comments and constructive suggestions that have improved the paper.  ... 
doi:10.3390/jrfm13050093 fatcat:j5ol77wnwnfbjg4zeu3yu3ikcu

Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies [article]

Eric Chu, Deb Roy
2017 arXiv   pre-print
In this paper, we use machine learning methods to construct emotional arcs in movies, calculate families of arcs, and demonstrate the ability for certain arcs to predict audience engagement.  ...  in polarity between the system's predictions and annotators' ratings.  ...  There is also evidence that a story's emotional content can explain the degree of audience engagement.  ... 
arXiv:1712.02896v1 fatcat:6hyz43twmng6dpghbh2njdskye

A Sound Prediction: EEG-Based Neural Synchrony Predicts Online Music Streams

Nikki Leeuwis, Daniela Pistone, Niels Flick, Tom van Bommel
2021 Frontiers in Psychology  
On an individual level, other brain measures were shown to relate to individual subjective likeability ratings, including Frontal Alpha Asymmetry and engagement when combined with the factors artist and  ...  Neuroforecasting predicts population-wide choices based on neural data of individuals and can be used, for example, in neuromarketing to estimate campaign successes.  ...  ; Briesemeister et al., 2013) but also enables to predict larger audience popularity (Shestyuk et al., 2019), performing better than subjective ratings to predict sales (Baldo et al., 2015).  ... 
doi:10.3389/fpsyg.2021.672980 fatcat:gf2sgg6lyjekxpj4exd2q4sfae

R-Rated Movies, Bedroom Televisions, and Initiation of Smoking by White and Black Adolescents

Christine Jackson, Jane D. Brown, Kelly L. L'Engle
2007 Archives of Pediatrics & Adolescent Medicine  
Results: Among white adolescents, high relative expo-sure to R-rated movies predicted a significantly greater likelihood of smoking initiation at follow-up, and private access to television during early  ...  Main Exposure: Frequency of exposure to movies rated R, PG-13, PG, or G; frequency, location, and parental oversight of television viewing.  ...  First, among white adolescents, high relative exposure to R-rated movies predicted significantly greater likelihood of smoking initiation at follow-up.  ... 
doi:10.1001/archpedi.161.3.260 pmid:17339507 fatcat:ovlosnviofecbb4igkurg4rori

Television Meets Facebook: The Correlation between TV Ratings and Social Media

Mei-Hua Cheng, Yi-Chen Wu, Ming-Chih Chen
2016 American Journal of Industrial and Business Management  
In essence, TV shows with higher number of posts and engagement are likely to relate to higher ratings, special in drama shows.  ...  This implies that TV network should be motivated to invest in social media and engage their audience and analysts can use social media as a mechanism of exante forecasting.  ...  Acknowledgements We would like to thank Professor Shia, Ben-Chang, for comments and suggestions on the manuscript.  ... 
doi:10.4236/ajibm.2016.63026 fatcat:ppluexv2g5ho3j5gnuf4d6s2gy

Predicting audience responses to movie content from electro-dermal activity signals

Fernando Silveira, Brian Eriksson, Anmol Sheth, Adam Sheppard
2013 Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13  
Our experiments demostrate the ability to classify movie ratings with accuracy of over 70% on specific films.  ...  In this paper, we propose a combined biometric sensing and analysis methodology to leverage audience-scale electro-dermal activity (EDA) data for the purpose of evaluating user responses to video.  ...  audiences to predict the success of movie productions [27] or ad campaigns [14] .  ... 
doi:10.1145/2493432.2493508 dblp:conf/huc/SilveiraESS13 fatcat:wz2n7d2lrbbplnrkue3cskqhci

Emotional Gratification in Entertainment Experience. Why Viewers of Movies and Television Series Find it Rewarding to Experience Emotions

Anne Bartsch
2012 Media Psychology  
Abstract This paper presents four studies designed to assess different types of gratifications that can be associated with the experience of emotions in movie and TV audiences.  ...  Validation analyses showed that the scales developed to assess these factors are predicted by the experience of emotions and meta-emotions and served in turn to predict different aspects of positive content  ...  In addition, fun, thrill, and character engagement predicted agreement with "the movie was entertaining."  ... 
doi:10.1080/15213269.2012.693811 fatcat:6vvt3okumnegdc62gb5g75b444

Opinion convergence versus polarization: examining opinion distributions in online word‐of‐mouth

Jianxiong Huang, Wai Fong Boh, Kim Huat Goh
2019 Journal of the Association for Information Science and Technology  
To test the hypotheses, we collected and text-mined online posts from product platforms such as review aggregator sites, discussion forums, and consumer rating websites, and non-product platforms such  ...  choose to post on online platforms.  ...  Because of stronger motivations to engage in impression management, we predict that consumers with polarized opinions would prefer to post comments on product platforms.  ... 
doi:10.1002/asi.24193 fatcat:5hrcybzsqncsvl6a6hwdy6gsnu

Predicting Movie Grosses: Winners and Losers, Blockbusters and Sleepers

Jeffrey S. Simonoff, Ilana R. Sparrow
2000 CHANCE : New Directions for Statistics and Computing  
For the few movies that were not in the catalog, genres were obtained from Variety magazine and www.reel.com, a web site devoted to consumer purchase of movies. 2.  ...  The Motion Picture Association of America (MPAA) rating of the film, one of the ratings G (general audiences), PG (parental guidance suggested), PG-13 (possibly unsuitable for children less than 13 years  ...  Acknowledgements The authors wish to thank Sam Craig, Dade Hayes, Leonard Klady, Tim Noonan, Ben Procter, and Joel Steckel for their invaluable contributions to this paper.  ... 
doi:10.1080/09332480.2000.10542216 fatcat:at2gisvojbft5dpmapx6vdxlhy

Predicting Humor by Learning from Time-Aligned Comments

Zixiaofan Yang, Bingyan Hu, Julia Hirschberg
2019 Interspeech 2019  
To our knowledge, this is the first study predicting perceived humor in large-scale audio data.  ...  We collected 241 videos of comedy movies and gameplay videos from one of the largest Chinese video-sharing websites.  ...  to be engaging, including applications of interactive games and advertisements.  ... 
doi:10.21437/interspeech.2019-3113 dblp:conf/interspeech/YangHH19 fatcat:ty4juo3e4zb5lkbibdoktkheb4

Exploring Tweet Engagement in the RecSys 2014 Data Challenge

Jacek Wasilewski, Neil Hurley
2014 Proceedings of the 2014 Recommender Systems Challenge on - RecSysChallenge '14  
Our prediction engine also exploits the observation that extreme ratings are more likely to attract engagement.  ...  In this paper we discuss how predicting engagement differs from the traditional rating prediction task and motivate the rationale behind our approach to the challenge.  ...  While a movie's popularity is available from many online sources, restricting ourselves to the challenge dataset, we can estimate popular movies as those that have obtained some engagement in the past  ... 
doi:10.1145/2668067.2668075 fatcat:sspiquuj4vez3ho6fjuwjlkuna
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