'Linguistic Cleansing': Strategies for Redesigning Human Perception and Behavior

2013 ◽  
Author(s):  
David Barnhizer
Keyword(s):  
Human Perception ◽  
And Behavior

Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?

2021 ◽  
pp. 147572572110371
Author(s):  
Sabrina Gado ◽  
Regina Kempen ◽  
Katharina Lingelbach ◽  
Tanja Bipp
Keyword(s):  
Artificial Intelligence ◽  
Technology Acceptance ◽  
Human Perception ◽  
Psychology Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Technology Acceptance Models ◽  
Psychological Training ◽  
Acceptance Model ◽  
And Behavior

Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This requires identifying approaches to integrate a general understanding of AI technology into formal psychological training and education. This study investigated to what extent psychology students currently accept and use AI and what affects their perception and usage. Therefore, an AI acceptance model based on established technology acceptance models was developed and tested in a sample of 218 psychology students. An acceptable fit with the data was found for an adapted version. Perceived usefulness and ease of use were most predictive for the students’ attitude towards AI; attitude itself, as well as perceived usefulness, social norm, and perceived knowledge, were predictors for the intention to use AI. In summary, we identified relevant factors for designing AI training approaches in psychology curricula. In this way, possible restraints regarding the use of AI can be reduced and its beneficial opportunities exploited in psychological contexts.

From Smart Concept to Desired Experiences

2020 ◽  
pp. 154-168
Author(s):  
Cristina Caramelo Gomes
Keyword(s):  
Built Environment ◽  
Smart Cities ◽  
Human Perception ◽  
Spatial Relations ◽  
Functional Orientation ◽  
And Behavior

The development and implementation of ICT solutions changed the built environment. Objects from daily human routines and services, while aiming for sustainable and inclusive qualified solutions, challenged the countless possibilities of interaction between individuals, individuals and products, and products and products. Smart cities associate intelligence to environments and products to boost functionalities, uses, and experiences. The design of smart cities, from the spatial relations, objects interactions, and services availability must be user oriented to satisfy users' needs and expectations, while promoting qualified experiences. From real and questionable solutions, due to technical or functional orientation, emerges the need to observe human perception, reaction, and behavior to understand how it is possible to improve the experience. The aim of this chapter is to highlight the need of a different approach to the conceptualization of smart cities, environments, products, and services, emphasizing an emotionally appealing experience.

scholarly journals Deficits in Prediction Ability Trigger Asymmetries in Behavior and Internal Representation

2020 ◽  
Vol 11 ◽  
Author(s):  
Anja Philippsen ◽  
Yukie Nagai
Keyword(s):  
Developmental Disorders ◽  
Computational Models ◽  
Predictive Coding ◽  
Sensory Information ◽  
Internal Representation ◽  
Human Perception ◽  
Underlying Mechanism ◽  
Autism Spectrum ◽  
Prediction Ability ◽  
And Behavior

Predictive coding is an emerging theoretical framework for explaining human perception and behavior. The proposed underlying mechanism is that signals encoding sensory information are integrated with signals representing the brain's prior prediction. Imbalance or aberrant precision of the two signals has been suggested as a potential cause for developmental disorders. Computational models may help to understand how such aberrant tendencies in prediction affect development and behavior. In this study, we used a computational approach to test the hypothesis that parametric modifications of prediction ability generate a spectrum of network representations that might reflect the spectrum from typical development to potential disorders. Specifically, we trained recurrent neural networks to draw simple figure trajectories, and found that altering reliance on sensory and prior signals during learning affected the networks' performance and the emergent internal representation. Specifically, both overly strong or weak reliance on predictions impaired network representations, but drawing performance did not always reflect this impairment. Thus, aberrant predictive coding causes asymmetries in behavioral output and internal representations. We discuss the findings in the context of autism spectrum disorder, where we hypothesize that too weak or too strong a reliance on predictions may be the cause of the large diversity of symptoms associated with this disorder.

scholarly journals Multirobot Confidence and Behavior Modeling: An Evaluation of Semiautonomous Task Performance and Efficiency

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Nathan Lucas ◽  
Abhilash Pandya
Keyword(s):  
Task Performance ◽  
Homeland Security ◽  
Human Perception ◽  
Unmanned Vehicles ◽  
Behavior Modeling ◽  
Eye Tracker ◽  
Spatial Frames Of Reference ◽  
Computer Mouse ◽  
Spatially Distributed ◽  
And Behavior

There is considerable interest in multirobot systems capable of performing spatially distributed, hazardous, and complex tasks as a team leveraging the unique abilities of humans and automated machines working alongside each other. The limitations of human perception and cognition affect operators’ ability to integrate information from multiple mobile robots, switch between their spatial frames of reference, and divide attention among many sensory inputs and command outputs. Automation is necessary to help the operator manage increasing demands as the number of robots (and humans) scales up. However, more automation does not necessarily equate to better performance. A generalized robot confidence model was developed, which transforms key operator attention indicators to a robot confidence value for each robot to enable the robots’ adaptive behaviors. This model was implemented in a multirobot test platform with the operator commanding robot trajectories using a computer mouse and an eye tracker providing gaze data used to estimate dynamic operator attention. The human-attention-based robot confidence model dynamically adapted the behavior of individual robots in response to operator attention. The model was successfully evaluated to reveal evidence linking average robot confidence to multirobot search task performance and efficiency. The contributions of this work provide essential steps toward effective human operation of multiple unmanned vehicles to perform spatially distributed and hazardous tasks in complex environments for space exploration, defense, homeland security, search and rescue, and other real-world applications.

scholarly journals POTENSI KELELAWAR SEBAGAI VEKTOR ZOONOSIS: INVESTIGASI BERDASARKAN KEANEKARAGAMAN JENIS DAN PERSEPSI MASYARAKAT TERHADAP KEBERADAAN KELELAWAR DI KOTA TANGERANG SELATAN

Jurnal BIOMA ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 14
Author(s):  
Fahma Wijayanti ◽  
Armaeni Dwi Humaerah ◽  
Narti Fitriana ◽  
Ahmad Dardiri
Keyword(s):  
Species Diversity ◽  
Urban Areas ◽  
Human Perception ◽  
Zoonotic Disease ◽  
Sampling Locations ◽  
And Behavior ◽  
Cynopterus Brachyotis ◽  
Mist Net

Zoonosis from bats to human in urban areas is a problem that must be investigated.This study aims to determine the species diversity in Tangerang Selatan City and human perception of bats. The study was conducted in July 2015 to November 2015. Bats were caught by mist nets and harp traps. Traps was placed purposively based on bats traffic at each study site. There are 3 sampling locations, each location, has been done for 4 nights with 3 mist net. Bats are found in South Tangerang City consisting of 5 spicies, namely: Cynopterus brachyotis, Cynopterus horsfieldii, Cynopterus titthaecheilus, Macroglossus sobrinus and Myotis muricola, with an index of species diversity was (H ‘= 1.68). Human perception and behavior in relation to the spread of zoonosis are at high scores (> 75), which means that the perception of the bat can keep them away from a zoonotic disease caused by bat.

Civil War and Religion: Salafi-Jihadist Groups

2018 ◽  
Author(s):  
Emil Aslan Souleimanov
Keyword(s):  
Civil War ◽  
Civil Wars ◽  
Human Perception ◽  
Recent Decade ◽  
Future Research ◽  
Academic Literature ◽  
Ethnographic Studies ◽  
Foreign Fighters ◽  
And Behavior ◽  
Conflict Intensity

Reflecting on the recent rise of Salafi groups and their impact on civil war, the academic literature on Salafi radicalization, mobilization, and recruitment has burgeoned in the recent decade and a half. Yet little consensus exists as to the relative power of three major causes: grievances, ideology, and radical milieu and support structures as causes of violent radicalization. Even less is known about how jihadist foreign fighters affect civil wars in terms of conflict intensity and resolution. In both fields, key debates are identified in the recent scholarship, explain the major shortcomings and gaps, and suggest avenues of future research. For instance, it is important—and hardly avoidable—that epistemological and ontological obstacles lay in the way of establishing the causes of (violent) radicalization, because the processes relating to the change of human perception and behavior are extremely difficult to trace. Another point is the frequent—deliberate or unintended—distortion of the testimonies of former combatants, not least Salafi-jihadists, which makes the task of establishing the causes of (violent) radicalization and recruitment harder. Identifying avenues of further research, there is a lack of quality first-hand data in the current research on Salafi-inspired radicalization, mobilization, and recruitment. More methodological plurality—particularly in-depth ethnographic studies and quantitative work—is needed, as well as more research on virtual social networks and non-verbal contents.

scholarly journals Emotions Including Anger, Bodily Sensations and The “Living Matrix”

2015 ◽  
Vol 8 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Tina Lindhard
Keyword(s):  
Quantum Physics ◽  
Human Perception ◽  
Living Organism ◽  
Physical Reality ◽  
The Body ◽  
Neurological Processes ◽  
Human Function ◽  
The Mind ◽  
And Behavior ◽  
The Brain

The importance of the body is enormous; it is our physical reality. So maybe it is about time we recognize not only that "there is no human function which does not involve both the brain and social context" [1], but also that there is certainly no human function that does not also involve our bodies and all that this implies. And we may well ask what in fact does this imply? Science in general has been interested in a world "out there". However, largely due to quantum physics, consciousness, awareness, inner experiencing and human perception are now being taken seriously in many fields of study such as transpersonal psychology, anthropology, and neuroscience. Even new disciplines like consciousness studies and electronic biology are being created. Psychology, in its endeavor to be recognized as a science, has largely made an object of its field of interest by looking at the human being in a mechanical way. Psychology too, almost by definition, has concerned itself mainly with certain aspects, namely the mind (usually associated with the brain), neurological processes and behavior and it has therefore neglected the body. The phenomenological method, as an additional way of gaining information through introspection, will also briefly be discussed here In this essay the effect of our thoughts when naming an emotion such as anger and fear on our bodies will be considered. In addition the "living matrix" model, which owes its origin to quantum mechanics and electronic biology, will be presented as a new complementary way of understanding how the living organism functions. The basic tenets of the quantum reality will also be presented.

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