scholarly journals Integrating Media Selection and Media Effects Using Decision Theory

2021 ◽  
Vol 33 (4) ◽  
pp. 215-225
Author(s):  
Jacob T. Fisher ◽  
Kristy A. Hamilton
Keyword(s):  
Decision Theory ◽  
Mobile Computing ◽  
Media Effects ◽  
Dynamic Processes ◽  
Integrative Approach ◽  
Media Selection ◽  
Psychological Processes ◽  
Media Psychology ◽  
Formal Framework ◽  
Technological Developments

Abstract. Media psychology researchers seek to understand both why people choose certain media over others and how media influence cognitive, emotional, social, and psychological processes. A burgeoning body of literature has emerged in recent years describing media selection and media effects as reciprocally linked dynamic processes, but research approaches empirically investigating them as such have been sparse. In parallel, technological developments like algorithmic personalization and mobile computing have served to blur the lines between media selection and media effects, highlighting novel problems at their intersection. Herein, we propose an integrative approach for building an understanding of these processes rooted in decision theory, a formal framework describing how organisms (and nonbiological agents) select and optimize behaviors in response to their environment.

scholarly journals Integrating Media Selection and Media Effects Using Decision Theory

2021 ◽  
Author(s):  
Jacob T. Fisher ◽  
Kristy Hamilton
Keyword(s):  
Decision Theory ◽  
Mobile Computing ◽  
Media Effects ◽  
Dynamic Processes ◽  
Integrative Approach ◽  
Media Selection ◽  
Psychological Processes ◽  
Media Psychology ◽  
Formal Framework ◽  
Technological Developments

Media psychology researchers seek to understand both why people choose certain media over others and how media influence cognitive, emotional, social, and psychological processes. A burgeoning body of literature has emerged in recent years describing media selection and media effects as reciprocally-linked dynamic processes, but research approaches empirically investigating them as such have been sparse. In parallel, technological developments like algorithmic personalization and mobile computing have served to blur the lines between media selection and media effects, highlighting novel problems at their intersection. Herein, we propose an integrative approach for building an understanding of these processes rooted in decision theory, a formal framework describing how organisms (and non-biological agents) select and optimize behaviors in response to their environment.

Design Visualization: A Media Effects Approach

2009 ◽  
Vol 7 (3) ◽  
pp. 415-427 ◽  
Author(s):  
Bimal Balakrishnan ◽  
Loukas N. Kalisperis
Keyword(s):  
Media Effects ◽  
Research Collaboration ◽  
Integrative Approach ◽  
Media Psychology ◽  
Ongoing Research ◽  
Affective Component ◽  
Architectural Space ◽  
Psychophysiological Measures ◽  
Visualization Tools ◽  
Measurement Strategies

This paper proposes an integrative approach in the evaluative phase of the design process, incorporating concepts, methodologies and measurement strategies that are well established in media psychology. The paper suggests a variable-centered approach for conceptualizing visualization technologies and to evaluate their potential to simulate architectural experience. Psychophysiological measures are introduced to capture the affective component of the architectural experience facilitated by visualization tools such as virtual reality. These are important in order to empirically evaluate the experiential aspects of an architectural space through visualization. Ideas are illustrated with examples drawn from prior and ongoing research collaboration between an architectural visualization lab and a media effects research lab.

scholarly journals Bayesian natural selection and the evolution of perceptual systems

2002 ◽  
Vol 357 (1420) ◽  
pp. 419-448 ◽  
Author(s):  
Wilson S. Geisler ◽  
Randy L. Diehl
Keyword(s):  
Natural Selection ◽  
Decision Theory ◽  
Ideal Observer ◽  
Statistical Decision Theory ◽  
Statistical Decision ◽  
Natural Stimuli ◽  
Ideal Observers ◽  
Formal Framework ◽  
Bayesian Statistical Decision Theory ◽  
Perceptual Systems

In recent years, there has been much interest in characterizing statistical properties of natural stimuli in order to better understand the design of perceptual systems. A fruitful approach has been to compare the processing of natural stimuli in real perceptual systems with that of ideal observers derived within the framework of Bayesian statistical decision theory. While this form of optimization theory has provided a deeper understanding of the information contained in natural stimuli as well as of the computational principles employed in perceptual systems, it does not directly consider the process of natural selection, which is ultimately responsible for design. Here we propose a formal framework for analysing how the statistics of natural stimuli and the process of natural selection interact to determine the design of perceptual systems. The framework consists of two complementary components. The first is a maximum fitness ideal observer, a standard Bayesian ideal observer with a utility function appropriate for natural selection. The second component is a formal version of natural selection based upon Bayesian statistical decision theory. Maximum fitness ideal observers and Bayesian natural selection are demonstrated in several examples. We suggest that the Bayesian approach is appropriate not only for the study of perceptual systems but also for the study of many other systems in biology.

Testing Measurement Invariance in Media Psychological Research

2013 ◽  
Vol 25 (4) ◽  
pp. 153-159 ◽  
Author(s):  
Rinaldo Kühne
Keyword(s):  
Measurement Invariance ◽  
Media Effects ◽  
Comparative Research ◽  
Invariant Measures ◽  
Media Use ◽  
Methodological Issue ◽  
Psychological Research ◽  
Media Psychology ◽  
Different Populations ◽  
Research Questions

Media psychology increasingly focuses on comparative research questions by comparing media use and media effects across different populations and across time. Such comparisons require that the constructs of interest be measured in the same way across populations – that is, invariant measures are required. However, this methodological issue has rarely been addressed in media psychology. In this article, we explain the concept of measurement invariance and illustrate how measurement invariance can be established to compare media use and media effects across populations and over time.

Introduction

2003 ◽  
pp. 1-27
Author(s):  
Len Asprey ◽  
Michael Middleton
Keyword(s):  
Content Management ◽  
Document Management ◽  
Historical Background ◽  
Evolutionary Development ◽  
Integrative Approach ◽  
Web Content ◽  
Systems Architecture ◽  
Technological Developments ◽  
Disciplinary Background ◽  
High Level

This chapter provides a brief historical perspective on the evolution of document types and introduces a new document paradigm that has emerged with digitization. It reviews the role of documents in the overall context of today’s business world. The review then covers the contributions made by various disciplines to our understanding of the evolution of DMS and the emergence of solutions for managing content of documents, particularly for Web presentation. This chapter also introduces the benefits of an integrative approach to document and Web content management solutions. Our objectives are to: • Provide some historical background and show its influence on contemporary approaches to document management. • Examine the way a “document” is presently understood and how this may vary according to disciplinary background. • Review technological developments that have impacted on the evolution of document formats and methods of registering documents. • Review the development of DMS and show how the consideration of systems for managing documents and their content has been heavily influenced by the emergence of digital documents. • Consider the emergence of Content Management Systems (CMS) within the overall evolutionary development of document technologies. • Introduce an integrative approach to planning and implementing solutions for document and Web content management, depicted in an IDCM planning model. • Cover the high-level features of the IDCM model, which comprises a management framework and conceptual systems architecture.

Managing fish stocks under climate uncertainty

2005 ◽  
Vol 62 (7) ◽  
pp. 1531-1541 ◽  
Author(s):  
Brian J. Rothschild ◽  
Changsheng Chen ◽  
R. Greg Lough
Keyword(s):  
Decision Theory ◽  
Fishery Management ◽  
Causal Chain ◽  
The State ◽  
Population Characteristics ◽  
Fish Stock ◽  
Fish Stocks ◽  
Formal Framework ◽  
Past Data ◽  
State Of The Environment

Abstract The quantitative evaluation of the management of fish stocks under uncertainty requires a formal framework. Decision theory provides that framework. Application of decision theory to fishery management requires information about both the fish stock and the state of the environment. Using Georges Bank haddock as a case study, it is possible to determine the probability of good or poor recruitment using past data and a constant environment. Understanding the state of the environment is more difficult, however, because fixed levels of recruitment, in particular, are associated with different population characteristics, which drastically reduce the sample size for any particular recruitment–environment scenario. Decision theory challenges us to improve our capability of predicting the state of nature, and it appears that this can be accomplished best by reducing the length of the causal chain, a goal now made feasible by the availability of high-resolution, high-frequency ocean models.

scholarly journals Mining integrated semantic networks for drug repositioning opportunities

2015 ◽  
Author(s):  
Joseph Mullen ◽  
Simon J Cockell ◽  
Hannah Tipney ◽  
Peter M Woollard ◽  
Anil Wipat
Keyword(s):  
Drug Interaction ◽  
Drug Target ◽  
Interaction Analysis ◽  
Drug Repositioning ◽  
Semantic Networks ◽  
Biological Data ◽  
Integrative Approach ◽  
Multiple Sources ◽  
Integrated Networks ◽  
Formal Framework

Current research and development approaches to drug discovery have become less fruitful and more costly. One alternative paradigm is that of drug repositioning. Many marketed examples of repositioned drugs have been identified through serendipitous or rational observations, highlighting the need for more systematic methodologies to tackle the problem. Systems level approaches have the potential to enable the development of novel methods to understand the action of therapeutic compounds, but requires an integrative approach to biological data. Integrated networks can facilitate systems level analyses by combining multiple sources of evidence to provide a rich description of drugs, their targets and their interactions. Classically, such networks can be mined manually where a skilled person is able to identify portions of the graph (semantic subgraphs) that are indicative of relationships between drugs and highlight possible repositioning opportunities. However, this approach is not scalable. Automated approaches are required to systematically mine integrated networks for these subgraphs and bring them to the attention of the user. We introduce a formal framework for the definition of integrated networks and their associated semantic subgraphs for drug interaction analysis and describe DReSMin, an algorithm for mining semantically-rich networks for occurrences of a given semantic subgraph. This algorithm allows instances of complex semantic subgraphs that contain data about putative drug repositioning opportunities to be identified in a computationally tractable fashion, scaling close to linearly with network data. We demonstrate the utility of our approach by mining an integrated drug interaction network built from 11 sources. This work identified and ranked 9,643,061 putative drug-target interactions, showing a strong correlation between highly scored associations and those supported by literature. We discuss the 20 top ranked associations in more detail, of which 14 are novel and 6 are supported by the literature. We also show that our approach better prioritizes known drug-target interactions, than other state-of-the art approaches for predicting such interactions.

scholarly journals Mining integrated semantic networks for drug repositioning opportunities

2015 ◽  
Author(s):  
Joseph Mullen ◽  
Simon J Cockell ◽  
Hannah Tipney ◽  
Peter M Woollard ◽  
Anil Wipat
Keyword(s):  
Drug Interaction ◽  
Drug Target ◽  
Interaction Analysis ◽  
Drug Repositioning ◽  
Semantic Networks ◽  
Biological Data ◽  
Integrative Approach ◽  
Multiple Sources ◽  
Integrated Networks ◽  
Formal Framework

Current research and development approaches to drug discovery have become less fruitful and more costly. One alternative paradigm is that of drug repositioning. Many marketed examples of repositioned drugs have been identified through serendipitous or rational observations, highlighting the need for more systematic methodologies to tackle the problem. Systems level approaches have the potential to enable the development of novel methods to understand the action of therapeutic compounds, but requires an integrative approach to biological data. Integrated networks can facilitate systems level analyses by combining multiple sources of evidence to provide a rich description of drugs, their targets and their interactions. Classically, such networks can be mined manually where a skilled person is able to identify portions of the graph (semantic subgraphs) that are indicative of relationships between drugs and highlight possible repositioning opportunities. However, this approach is not scalable. Automated approaches are required to systematically mine integrated networks for these subgraphs and bring them to the attention of the user. We introduce a formal framework for the definition of integrated networks and their associated semantic subgraphs for drug interaction analysis and describe DReSMin, an algorithm for mining semantically-rich networks for occurrences of a given semantic subgraph. This algorithm allows instances of complex semantic subgraphs that contain data about putative drug repositioning opportunities to be identified in a computationally tractable fashion, scaling close to linearly with network data. We demonstrate the utility of our approach by mining an integrated drug interaction network built from 11 sources. This work identified and ranked 9,643,061 putative drug-target interactions, showing a strong correlation between highly scored associations and those supported by literature. We discuss the 20 top ranked associations in more detail, of which 14 are novel and 6 are supported by the literature. We also show that our approach better prioritizes known drug-target interactions, than other state-of-the art approaches for predicting such interactions.

Digitalization of Human Resources

2022 ◽  
pp. 200-218
Author(s):  
Elif Baykal
Keyword(s):  
Human Resources ◽  
Performance Management ◽  
Management Training ◽  
Training And Development ◽  
Integrative Approach ◽  
Web Based ◽  
Digital Revolution ◽  
Strategic Human Resources ◽  
Technological Developments ◽  
Computer Based

Recent decades brought about astonishing technologies that affected organizations in several ways. With the latest developments, organizations earned the capabilities to carry out their functions more efficiently and rapidly. Having several tasks affecting both interior and exterior customers, human resources departments also benefited from these technological developments. Owing to the digital revolution, e-HR emerged as a new way of practicing HRM activities with the latest web-based and computer-based tools and applications. These applications eased the work of HR professionals and served them the opportunity to focus on their core work, namely strategic human resources activities rather than procedural paperwork of the department. With a holistic and integrative approach, this digital transformation in HRM has been dispersed among all services in human resources including recruitment, career management, training and development, performance management, and compensation.

Contemporary Issues and Challenges in Marketing Environment Worldwide

2019 ◽  
pp. 22-40
Author(s):  
Fatih Pinarbasi
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Integrative Approach ◽  
Human Beings ◽  
Marketing Environment ◽  
Main Challenge ◽  
Technological Developments ◽  
Innovative Thinking ◽  
Concepts Of Technology ◽  
Descriptive Approach

Investigating contemporary issues in specific scientific areas is a continuing concern within understanding underlying conditions and decision making. In the last few decades, human beings have witnessed intense technological developments. The main challenge faced by marketing scholars and practitioners is how developments and changes would affect consumer and brands as an integral relationship in different contexts. This chapter examines contemporary issues affecting managerial and innovative thinking in marketing environment. In this study, the concepts of technology, social network/social media, consumer, and brand are central to contemporary issues and challenges in marketing environment. In a descriptive approach, sub-concepts of main concepts are discussed, Then selected studies and questions about future researches are stated. This study offers an integrative approach and important insights into marketing issues and marketing management.

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