When, How, and Why Persuasion Fails

2020 ◽  
pp. 50-65
Author(s):  
Ryan G. Cotter ◽  
Milton Lodge ◽  
Robert Vidigal
Keyword(s):  
Information Processing ◽  
Network Analysis ◽  
Confirmation Bias ◽  
Black Box ◽  
Experimental Designs ◽  
Prior Beliefs ◽  
Political Identities ◽  
Communication Effects ◽  
Semantic Concepts ◽  
The Face

All citizens, including the most sophisticated and attentive, possess a powerful drive to defend their opinions, attitudes, and worldviews in the face of challenges. This bias manifests as an active effort to rationalize what they want to believe rather than accepting incongruent viewpoints. This propensity to dismiss or counterargue perspectives we do not like is evident across political identities and raises serious obstacles to successfully shifting others’ attitudes. This article presents an integrated understanding of these information processing phenomena under the John Q. Public model and explains how prior beliefs, confirmation bias, and disconfirmation bias interact to produce persistence in evaluations. It then goes on to explain how network analysis and experimental designs can be leveraged to illuminate the black box of communication effects and deepen our understanding of when persuasion is successful. Mapping out the cognitive relationships between semantic concepts and connecting these to a raw, affective charge provides a clearer view of citizens’ understanding of issues and how their thoughts and feelings shift in response to targeted political messaging.

Aplikasi Kuartu Berbasis Android Sebagai Media Pertukaran Informasi Kartu Nama

2017 ◽  
Vol 9 (1) ◽  
pp. 25-32
Author(s):  
Nandi Syukri ◽  
Eko Budi Setiawan
Keyword(s):  
Mobile Devices ◽  
Information Exchange ◽  
Smart Phone ◽  
Black Box ◽  
Qr Code ◽  
Business Card ◽  
Large Numbers ◽  
The World ◽  
The Face ◽  
Index Terms

Business Card is the most efficient, effective and appropriate tool for every business men no matter they are owners, employees, more over marketers to provide information about their businesses. Unfortunately, it is very difficult to bring and manage business card in large numbers also to remember the face of the business card owner. A Business Card application need to be built to solve all those issues mentioned above. The Application or software must be run in media which can be accessed anywhere and anytime such as smart phone. Kuartu is as business card application run in mobile devices. Kuartu is developed using object base modeling for mobile sub system. The platform of the mobile sub system is android, as it is the most widely used platform in the world. The Kuartu application utilizing NFC and QR Code technology to support the business card information exchange and the Chatting feature for communication. Based on the experiment and test using black box methodology, it can be concluded that Kuartu application makes business card owner to communicate each other easily, business card always carried, easy to manage the cards and information of the business card owner can be easily obtained. Index Terms— Business Card, Android, Kuartu, NFC, QrCode, Chatting.

Understanding Process in Group-Based Intervention Delivery: Social Network Analysis and Intra-entity Variability Methods as Windows into the “Black Box”

2016 ◽  
Vol 17 (8) ◽  
pp. 925-936 ◽  
Author(s):  
Lauren Molloy Elreda ◽  
J. Douglas Coatsworth ◽  
Scott D. Gest ◽  
Nilam Ram ◽  
Katharine Bamberger
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Black Box ◽  
Intervention Delivery

scholarly journals Dogs recognize dog and human emotions

2016 ◽  
Vol 12 (1) ◽  
pp. 20150883 ◽  
Author(s):  
Natalia Albuquerque ◽  
Kun Guo ◽  
Anna Wilkinson ◽  
Carine Savalli ◽  
Emma Otta ◽  
...  
Keyword(s):  
Information Processing ◽  
Domestic Dogs ◽  
Emotional Expressions ◽  
Emotional Information ◽  
Auditory Cues ◽  
Cognitive Representations ◽  
Negative Valence ◽  
The Social ◽  
The Face ◽  
High Level

The perception of emotional expressions allows animals to evaluate the social intentions and motivations of each other. This usually takes place within species; however, in the case of domestic dogs, it might be advantageous to recognize the emotions of humans as well as other dogs. In this sense, the combination of visual and auditory cues to categorize others' emotions facilitates the information processing and indicates high-level cognitive representations. Using a cross-modal preferential looking paradigm, we presented dogs with either human or dog faces with different emotional valences (happy/playful versus angry/aggressive) paired with a single vocalization from the same individual with either a positive or negative valence or Brownian noise. Dogs looked significantly longer at the face whose expression was congruent to the valence of vocalization, for both conspecifics and heterospecifics, an ability previously known only in humans. These results demonstrate that dogs can extract and integrate bimodal sensory emotional information, and discriminate between positive and negative emotions from both humans and dogs.

scholarly journals NetFACS: Using network science to understand facial communication systems

2021 ◽  
Author(s):  
Alexander Mielke ◽  
Bridget M. Waller ◽  
Claire Pérez ◽  
Alan V. Rincon ◽  
Julie Duboscq ◽  
...  
Keyword(s):  
Network Analysis ◽  
Communication Systems ◽  
Network Science ◽  
Coding System ◽  
Communication Tool ◽  
Resampling Methods ◽  
Facial Movements ◽  
The Face ◽  
Analyse Data ◽  
And Function

AbstractUnderstanding facial signals in humans and other species is crucial for understanding the evolution, complexity, and function of the face as a communication tool. The Facial Action Coding System (FACS) enables researchers to measure facial movements accurately, but we currently lack tools to reliably analyse data and efficiently communicate results. Network analysis can provide a way to use the information encoded in FACS datasets: by treating individual AUs (the smallest units of facial movements) as nodes in a network and their co-occurrence as connections, we can analyse and visualise differences in the use of combinations of AUs in different conditions. Here, we present ‘NetFACS’, a statistical package that uses occurrence probabilities and resampling methods to answer questions about the use of AUs, AU combinations, and the facial communication system as a whole in humans and non-human animals. Using highly stereotyped facial signals as an example, we illustrate some of the current functionalities of NetFACS. We show that very few AUs are specific to certain stereotypical contexts; that AUs are not used independently from each other; that graph-level properties of stereotypical signals differ; and that clusters of AUs allow us to reconstruct facial signals, even when blind to the underlying conditions. The flexibility and widespread use of network analysis allows us to move away from studying facial signals as stereotyped expressions, and towards a dynamic and differentiated approach to facial communication.

scholarly journals Digital DICOM in Dentistry

2015 ◽  
Vol 9 (1) ◽  
pp. 330-336 ◽  
Author(s):  
Jeff Burgess
Keyword(s):  
Information Processing ◽  
Digital Communication ◽  
Digital Systems ◽  
Dental Practice ◽  
X Ray ◽  
Reliable Transmission ◽  
X Ray Imaging ◽  
Transmission Of Information ◽  
The Face

Similar to Medicine, digital communication, information processing, and x-ray imaging have changed the face of dentistry. The incorporation of digital systems into medical and dental practice has necessitated development of a standard that allows reliable transmission of information between the devices taking the images, devices storing the images, and devices displaying the images. This standard is termed as DICOM. The following article briefly reviews how DICOM came about, how dentistry is involved, the various elements that are part of the DICOM system, and how DICOM is currently used in dentistry.

Changing minds about climate change: a pervasive role for domain-general metacognition

2021 ◽  
Author(s):  
Manos Tsakiris ◽  
Neza Vehar ◽  
Stephen M Fleming ◽  
Sophie De Beukelaer ◽  
Max Rollwage
Keyword(s):  
Climate Change ◽  
Climate Science ◽  
Social Effects ◽  
Negative Evidence ◽  
Prior Beliefs ◽  
Domain Specific ◽  
The Face ◽  
Metacognitive Abilities ◽  
Insight Into

Updating one’s beliefs about the causes and effects of climate change is crucial for altering attitudes and behaviours. Importantly, metacognitive abilities - insight into the (in)correctness of one’s beliefs- play a key role in the formation of polarized beliefs. We investigated the role of domain-general and domain-specific metacognition in updating prior beliefs about climate change across the spectrum of climate change scepticism. We also considered the role of how climate science is communicated in the form of textual or visuo-textual presentations. We show that climate change scepticism is associated with differences in domain-general as well as domain-specific metacognitive abilities. Moreover, domain-general metacognitive sensitivity influenced belief updating in an asymmetric way : lower domain-general metacognition decreased the updating of prior beliefs, especially in the face of negative evidence. Our findings highlight the role of metacognitive failures in revising erroneous beliefs about climate change and point to their adverse social effects.

Finding Automated (Bot, Sensor) or Semi-Automated (Cyborg) Social Media Accounts Using Network Analysis and NodeXL Basic

2017 ◽  
pp. 383-424 ◽  
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Question ◽  
Other Information ◽  
The Face ◽  
Research Findings ◽  
Levels Of Automation ◽  
Information Streams

Various research findings suggest that humans often mistake social robot (‘bot) accounts for human in a microblogging context. The core research question here asks whether the use of social network analysis may help identify whether a social media account is fully automated, semi-automated, or fully human (embodied personhood)—in the contexts of Twitter and Wikipedia. Three hypotheses are considered: that automated social media account networks will have less diversity and less heterophily; that automated social media accounts will tend to have a botnet social structure, and that cyborg accounts will have select features of human- and robot- social media accounts. The findings suggest limited ability to differentiate the levels of automation in a social media account based solely on social network analysis alone in the face of a determined and semi-sophisticated adversary given the ease of network account sock-puppetry but does suggest some effective detection approaches in combination with other information streams.

Confirmation and Cognitive Bias in Design Cognition

2012 ◽  
Author(s):  
Gregory M. Hallihan ◽  
Hyunmin Cheong ◽  
L. H. Shu
Keyword(s):  
Information Processing ◽  
Analogical Reasoning ◽  
Design Research ◽  
Cognitive Biases ◽  
Confirmation Bias ◽  
Psychological Research ◽  
Human Information Processing ◽  
Concept Generation ◽  
Design Cognition ◽  
Concept Evaluation

The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.

scholarly journals Functional maps within a single neuron

2012 ◽  
Vol 108 (9) ◽  
pp. 2343-2351 ◽  
Author(s):  
Rishikesh Narayanan ◽  
Daniel Johnston
Keyword(s):  
Information Processing ◽  
Ion Channels ◽  
Neural Coding ◽  
Single Neuron ◽  
Expression Profiles ◽  
Information Encoding ◽  
Neuronal Dendrites ◽  
Sensory Maps ◽  
The Face ◽  
Sensory Map

The presence and plasticity of dendritic ion channels are well established. However, the literature is divided on what specific roles these dendritic ion channels play in neuronal information processing, and there is no consensus on why neuronal dendrites should express diverse ion channels with different expression profiles. In this review, we present a case for viewing dendritic information processing through the lens of the sensory map literature, where functional gradients within neurons are considered as maps on the neuronal topograph. Under such a framework, drawing analogies from the sensory map literature, we postulate that the formation of intraneuronal functional maps is driven by the twin objectives of efficiently encoding inputs that impinge along different dendritic locations and of retaining homeostasis in the face of changes that are required in the coding process. In arriving at this postulate, we relate intraneuronal map physiology to the vast literature on sensory maps and argue that such a metaphorical association provides a fresh conceptual framework for analyzing and understanding single-neuron information encoding. We also describe instances where the metaphor presents specific directions for research on intraneuronal maps, derived from analogous pursuits in the sensory map literature. We suggest that this perspective offers a thesis for why neurons should express and alter ion channels in their dendrites and provides a framework under which active dendrites could be related to neural coding, learning theory, and homeostasis.

scholarly journals Information processing in miniature brains

2011 ◽  
Vol 278 (1707) ◽  
pp. 885-888 ◽  
Author(s):  
L. Chittka ◽  
P. Skorupski
Keyword(s):  
Information Processing ◽  
Brain Function ◽  
Marine Invertebrates ◽  
Rule Learning ◽  
Research Perspectives ◽  
The Face ◽  
Working Together ◽  
Sheer Size ◽  
Neural Underpinnings ◽  
Benefits And Costs

Since a comprehensive understanding of brain function and evolution in vertebrates is often hobbled by the sheer size of the nervous system, as well as ethical concerns, major research efforts have been made to understand the neural circuitry underpinning behaviour and cognition in invertebrates, and its costs and benefits under natural conditions. This special feature of Proceedings of the Royal Society B contains an idiosyncratic range of current research perspectives on neural underpinnings and adaptive benefits (and costs) of such diverse phenomena as spatial memory, colour vision, attention, spontaneous behaviour initiation, memory dynamics, relational rule learning and sleep, in a range of animals from marine invertebrates with exquisitely simple nervous systems to social insects forming societies with many thousands of individuals working together as a ‘superorganism’. This introduction provides context and history to tie the various approaches together, and concludes that there is an urgent need to understand the full neuron-to-neuron circuitry underlying various forms of information processing—not just to explore brain function comprehensively, but also to understand how (and how easily) cognitive capacities might evolve in the face of pertinent selection pressures. In the invertebrates, reaching these goals is becoming increasingly realistic.

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