Computational Psychometrics Meets Hollywood: The Complexity in Emotional Storytelling

Cipresso, Pietro; Riva, Giuseppe

doi:10.3389/fpsyg.2016.01753

Cited by 4 publications

(5 citation statements)

References 37 publications

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“…Some authors dealing with textual narrative proceed manually, possibly because they focus on certain classes of actions, semantically speaking: one character supporting another [32], physical Extraction and Analysis of Fictional Character Networks: A Survey 25/75 encounters [108], actions that influence the development of the story [259]. In [55], Cipresso & Riva are interested in identifying the interactions between movie characters according to four basic emotions: anger, fear, sadness and joy. For this purpose, they rely on a survey conducted over a sample of eleven persons watching the movie and detecting these interactions manually.…”

Section: Direct Actionsmentioning

confidence: 99%

“…The most widespread method is direct annotation, which consists for the authors in annotating by themselves the narrative they want to study, e.g. [32,136] for novels, [154,168] for myths, [170,228] for plays, [55,248] for movies, and [21,267] for TV series. Opting for such a manual approach can be due to technical limitations, e.g.…”

Section: Overview Of the Extraction Processmentioning

confidence: 99%

“…In addition to the characters themselves, researchers have then started to take into account the way characters interact, which is considered as the backbone of the narrative [55,197]. In such a context, graphs are a natural modeling paradigm, as they allow representing and studying a system through the interactions of its constituting elements.…”

Section: Introductionmentioning

confidence: 99%

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Extraction and Analysis of Fictional Character Networks

Labatut

Bost

2019

ACM Comput. Surv.

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A character network is a graph extracted from a narrative, in which vertices represent characters and edges correspond to interactions between them. A number of narrative-related problems can be addressed automatically through the analysis of character networks, such as summarization, classification, or role detection. Character networks are particularly relevant when considering works of fictions (e.g. novels, plays, movies, TV series), as their exploitation allows developing information retrieval and recommendation systems. However, works of fiction possess specific properties making these tasks harder.This survey aims at presenting and organizing the scientific literature related to the extraction of character networks from works of fiction, as well as their analysis. We first describe the extraction process in a generic way, and explain how its constituting steps are implemented in practice, depending on the medium of the narrative, the goal of the network analysis, and other factors. We then review the descriptive tools used to characterize character networks, with a focus on the way they are interpreted in this context. We illustrate the relevance of character networks by also providing a review of applications derived from their analysis. Finally, we identify the limitations of the existing approaches, and the most promising perspectives.

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Section: Direct Actionsmentioning

confidence: 99%

Section: Overview Of the Extraction Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Extraction and Analysis of Fictional Character Networks

Labatut

Bost

2019

ACM Comput. Surv.

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“…The “extreme” parachutists provided a backdrop and a small plot link. The focus was on drama, a typical example of “emotional storytelling” in mass-market movies ( Cipresso and Riva, 2016 ). Drama, not activity, is the defining feature.…”

Section: Contextmentioning

confidence: 99%

To Analyze Thrill, Define Extreme Sports

Buckley

2018

Front. Psychol.

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Emotions are a signaling system, evolved by providing selective advantage through enhanced survival and reproduction. The selective advantage conferred by thrill or exhilaration, however, remains unknown. Hypotheses, as yet untested, include overcoming phobias or honing physical skills as juveniles, or exhibiting desirability during mate selection. Extreme sports can provide an ethically and experimentally feasible tool to analyze thrill. To use this tool, extreme sports must first be defined in a non-circular way, independent of participant psychology. Existing concepts, from different disciplines, focus, respectively, on drama, activity types, or consequences of error. Here, I draw upon academic and popular literature, and autoethnographic experience, to distinguish extreme from adventurous levels for a range of different outdoor sports. I conclude that extreme outdoor adventure sports can be defined objectively as those activities, conditions, and levels, where participant survival relies on moment-by-moment skill, and any error is likely to prove fatal. This allows us to examine the motivations, experiences, and transformations of individuals who undertake these activities. In particular, it will allow us to examine the emotional experience of thrill, previously studied principally as an aspect of personality, from new neurophysiological and evolutionary perspectives.

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“…Often times, it is important to study such complex systems from a multidisciplinary perspective 5 . Other examples of multidisciplinary approaches include the use of complex systems approach to evaluate emotions in Hollywood 6 and Brain computer interfaces 7 .…”

Section: Introductionmentioning

confidence: 99%

Tamper-Evident Complex Genomic Networks

Batool¹,

Niazi²

2017

Preprint

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Networks are important storage data structures now used to store personal information of individuals around the globe. With the advent of personal genome sequencing, networks are going to be used to store personal genomic sequencing of people. In contrast to social media networks, the importance of relationships in this genomic network is extremely significant. Losing connections between individuals thus implies losing relationship information (E.g. father or son etc.). There currently exists a considerably serious problem in the current approach to storing network data. Simply stated, network data is not tamper-evident. In other words, if some links or nodes were changed/removed/added by a malicious attacker, it would be impossible for the administrator to detect such changes. While, in the current age of social media networks, change in node characteristics and links can be bad in terms of relationships, in the case of networks for storing personal genomes, the results could be truly devastating. Here we present a scheme for building tamper-evident networks using a combination of Cryptographic and Ego-based Network analytic methods. Using actual published data-sets, we also demonstrate the utility and validity of the scheme besides demonstrating its working in various possible scenarios of usage. Results from the extensive experiments demonstrate the validity of the proposed approach.

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Computational Psychometrics Meets Hollywood: The Complexity in Emotional Storytelling

Cited by 4 publications

References 37 publications

Extraction and Analysis of Fictional Character Networks

Extraction and Analysis of Fictional Character Networks

To Analyze Thrill, Define Extreme Sports

Tamper-Evident Complex Genomic Networks

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