Evoke, don’t show: Narration in cinematic virtual reality and the making of Entangled

2021 ◽  
Vol 11 (1) ◽  
pp. 147-162
Author(s):  
Simon Weaving
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Deep Understanding ◽  
Concept Development ◽  
Academic Knowledge ◽  
The Past ◽  
Production Processes ◽  
Live Action ◽  
Production Decision

Over the past three years, cinematic virtual reality (CVR) has emerged as a form of media storytelling that takes advantage of the immersive properties of VR technology. However, as a practice it poses a number of challenges for the writer–director used to controlling the frame through which the viewer experiences the narrative. This research outlines the making of Entangled (a live-action, stereoscopic, VR experience incorporating ambisonic audio) and reflects on concept development and production decision-making with reference to the emerging body of academic knowledge about cinematic VR, in particular ideas about the position of the viewer and the nature of narration. The research addresses some of the gaps in knowledge in these areas, reconciling theoretical positions with a deep understanding of the realities of production processes.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Adaptations of Time Travel Narratives in Japanese Multimedia: Nurturing Eudaimonia across Time and Space

2014 ◽  
Vol 7 (2) ◽  
pp. 136-151 ◽  
Author(s):  
Sung-Ae Lee
Keyword(s):  
Travel Narratives ◽  
Time Travel ◽  
Cultural Knowledge ◽  
Human Beings ◽  
The Core ◽  
The Past ◽  
Life Styles ◽  
Concern For Others ◽  
The Future ◽  
Live Action

To displace a character in time is to depict a character who becomes acutely conscious of his or her status as other, as she or he strives to comprehend and interact with a culture whose mentality is both familiar and different in obvious and subtle ways. Two main types of time travel pose a philosophical distinction between visiting the past with knowledge of the future and trying to inhabit the future with past cultural knowledge, but in either case the unpredictable impact a time traveller may have on another society is always a prominent theme. At the core of Japanese time travel narratives is a contrast between self-interested and eudaimonic life styles as these are reflected by the time traveller's activities. Eudaimonia is a ‘flourishing life’, a life focused on what is valuable for human beings and the grounding of that value in altruistic concern for others. In a study of multimodal narratives belonging to two sets – adaptations of Tsutsui Yasutaka's young adult novella The Girl Who Leapt Through Time and Yamazaki Mari's manga series Thermae Romae – this article examines how time travel narratives in anime and live action film affirm that eudaimonic living is always a core value to be nurtured.

Truth Matters: Cognitive Integrity as an Intervention for Self-Deception

2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Autonomous Agents ◽  
Therapeutic Interventions ◽  
Empirical Validation ◽  
The Past ◽  
Adaptive Problem

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.

‘Higher then to her no bookes doe reach’

2018 ◽  
Author(s):  
Martha Vandrei
Keyword(s):  
Early Stage ◽  
Deep Understanding ◽  
Contemporary Philosophy ◽  
James I ◽  
Historical Method ◽  
The Past ◽  
Classical World ◽  
Material Evidence ◽  
Do So

This chapter and the following both draw the reader into seventeenth-century understandings of the past, and of Boudica in particular, and makes clear that in a time before disciplines, writers of ‘history’ were erudite commentators, immersed in political thought, the classical world, and contemporary ideas, as well as in drama, poetry, and the law. Chapter 1 shows the subtleties of Boudica’s place in history at this early stage by giving sustained attention to the work of Edmund Bolton (1574/5–c.1634), the first person to analyse the written and material evidence for Boudica’s deeds, and the last to do so in depth before the later nineteenth century. Bolton’s distaste for contemporary philosophy and his loyalty to James I were highly influential in determining the way the antiquary approached Boudica and her rebellion; but equally important was Bolton’s deep understanding of historical method and the strictures this placed on his interpretive latitude.

Evidence-based Assessment

2010 ◽  
pp. 76-98
Author(s):  
John Hunsley ◽  
Eric J. Mash
Keyword(s):  
Decision Making ◽  
Clinical Assessment ◽  
Assessment Process ◽  
Evidence Based ◽  
The Past ◽  
Specific Assessment ◽  
The Many ◽  
Selection Of ◽  
Made In

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.

A Big Thank You to our Reviewers in the Past Year!

2021 ◽  
Vol 42 (02) ◽  
pp. 191-195
Keyword(s):  
Decision Making ◽  
Peer Review ◽  
Decision Making Process ◽  
The Past

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

scholarly journals Protein L—More Than Just an Affinity Ligand

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 874
Author(s):  
Stefan Kittler ◽  
Mihail Besleaga ◽  
Julian Ebner ◽  
Oliver Spadiut
Keyword(s):  
Antibody Fragments ◽  
Downstream Process ◽  
Affinity Ligands ◽  
The Past ◽  
Affinity Ligand ◽  
Recombinant Production ◽  
Production Processes ◽  
Monitoring Tools ◽  
Platform Technology ◽  
Analytical Tools

In the past 30 years, highly specific drugs, known as antibodies, have conquered the biopharmaceutical market. In addition to monoclonal antibodies (mAbs), antibody fragments are successfully applied. However, recombinant production faces challenges. Process analytical tools for monitoring and controlling production processes are scarce and time-intensive. In the downstream process (DSP), affinity ligands are established as the primary and most important step, while the application of other methods is challenging. The use of these affinity ligands as monitoring tools would enable a platform technology to monitor process steps in the USP and DSP. In this review, we highlight the current applications of affinity ligands (proteins A, G, and L) and discuss further applications as process analytical tools.

scholarly journals How Does Governance Influence Decision Making on Projects and in Project-Based Organizations?

2020 ◽  
Vol 51 (6) ◽  
pp. 670-684 ◽  
Author(s):  
Rodney Turner
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Organizational Psychology ◽  
Project Performance ◽  
The Past

Research on the governance of project management suggests governmentality and governance are associated with improved project performance. However, the mechanism is unknown. We propose that they influence decision making, which, in turn, improves performance. Few articles on governance comment directly on how governance influences decision making. We identify six areas of organizational psychology that influence decision making, and study what research on the governance of project management suggests about how governance influences those six areas. We review 36 articles on the governance of project management published in the past six years in the three main journals in project management.

Sign in / Sign up

Export Citation Format

Share Document