The Effect Predictor Elements Stimulus Response By Human Neural System Dimensions Sense, Feel, Think And Act On Customer Loyalty (Survey Of Fast-Food Restaurant Customers In Bandung)

Purpose: This research aims to know the influence of each dimension of Response of Human Neural System, namely Sense, Feel, Think, and Act on Customers Loyalty.  Each dimension is analyzed into several manifest variables.  The significance of the influence of Human's Neural System Response in general on Customers' Loyalty is also necessary to identify. Methodology: This study using SEM (Structural Equation Modeling) analysis, that used to resolve simultaneous multilevel models that cannot be resolved by the linear regression equation, and use the customer survey method to assess the indicators for each variable. Result: The result of the research shows several manifest variables that are influencing and not influencing the Customers' Loyalty.  Dimensions of Human's Neural System Response that have influences on Customers' Loyalty, from the most significant to less significant, observed by the beta coefficient, is Sense, Think, Feel, and Act.  The dominant predictor elements that entail in every regression model are room condition, exterior and interior design of the restaurant, and hospitality and politeness of the waiter, waitress, sales clerk, attendant, and other employees.  It means that those variables have a dominant influence on customers' loyalty. Applications: This research can be used to support the development of management science studies in the field of marketing management, particularly those relating to the utilization of human nervous system responses and customer loyalty, as well as providing input to restaurant business decision makers in optimizing human nervous system responses in order to obtain and maintain customer loyalty. Originality: Research on customer loyalty shows that emotional factors (sense, feel, think, and act) are at the core of customer satisfaction and influence customer loyalty

Lateralized Repetition Priming for Unfamiliar Faces

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Faith in the Algorithm, Part 1: Beyond the Turing Test

Since the Turing test was first proposed by Alan Turing in 1950, the primary goal of artificial intelligence has been predicated on the ability for computers to imitate human behavior. However, the majority of uses for the computer can be said to fall outside the domain of human abilities and it is exactly outside of this domain where computers have demonstrated their greatest contribution to intelligence. Another goal for artificial intelligence is one that is not predicated on human mimicry, but instead, on human amplification. This article surveys various systems that contribute to the advancement of human and social intelligence

People-selectivity, audiovisual integration and heteromodality in the superior temporal sulcus

The functional role of the superior temporal sulcus (STS) has been implicated in a number of studies, including those investigating face perception, voice perception, and face–voice integration. However, the nature of the STS preference for these ‘social stimuli’ remains unclear, as does the location within the STS for specific types of information processing. The aim of this study was to directly examine properties of the STS in terms of selective response to social stimuli. We used functional magnetic resonance imaging (fMRI) to scan participants whilst they were presented with auditory, visual, or audiovisual stimuli of people or objects, with the intention of localising areas preferring both faces and voices (i.e., ‘people-selective’ regions) and audiovisual regions designed to specifically integrate person-related information. Results highlighted a ‘people-selective, heteromodal’ region in the trunk of the right STS which was activated by both faces and voices, and a restricted portion of the right posterior STS (pSTS) with an integrative preference for information from people, as compared to objects. These results point towards the dedicated role of the STS as a ‘social-information processing’ centre

The eye contact effect: mechanisms and development

The ‘eye contact effect’ is the phenomenon that perceived eye contact with another human face modulates certain aspects of the concurrent and/or immediately following cognitive processing. In addition, functional imaging studies in adults have revealed that eye contact can modulate activity in structures in the social brain network, and developmental studies show evidence for preferential orienting towards, and processing of, faces with direct gaze from early in life. We review different theories of the eye contact effect and advance a ‘fast-track modulator’ model. Specifically, we hypothesize that perceived eye contact is initially detected by a subcortical route, which then modulates the activation of the social brain as it processes the accompanying detailed sensory information

A test of the electromagnetic theory of the hydrogen vortices surrounding sun-spots

The extensive fields of force shown by the spectroheliograph in the hydrogen atmosphere surrounding sun-spots have been explained in two different ways: (1) as true hydrodynamical vortices, resembling great tornadoes, and (2) as electromagnetic phenomena, in which charged particles moving in the solar atmosphere are constrained by the magnetic fields in the spots to follow their lines of force. The principles involved in the electromagnetic theory have been applied to the explanation of the terrestrial aurora by Stormer, who has also developed this theory for the case of sun-spots.(1

EEG-informed fMRI reveals spatiotemporal characteristics of perceptual decision making

Single-unit and multiunit recordings in primates have already established that decision making involves at least two general stages of neural processing: representation of evidence from early sensory areas and accumulation of evidence to a decision threshold from decision-related regions. However, the relay of information from early sensory to decision areas, such that the accumulation process is instigated, is not well understood. Using a cued paradigm and single-trial analysis of electroencephalography (EEG), we previously reported on temporally specific components related to perceptual decision making. Here, we use information derived from our previous EEG recordings to inform the analysis of fMRI data collected for the same behavioral task to ascertain the cortical origins of each of these EEG components. We demonstrate that a cascade of events associated with perceptual decision making takes place in a highly distributed neural network. Of particular importance is an activation in the lateral occipital complex implicating perceptual persistence as a mechanism by which object decision making in the human brain is instigated

Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network

In the human ear, the basilar membrane plays a central role in sound recognition. When excited by sound, this membrane responds with a frequency-dependent displacement pattern that is detected and identified by the auditory hair cells combined with the human neural system. Inspired by this structure, we designed and fabricated an artificial membrane that produces a spatial displacement pattern in response to an audible signal, which we used to train a convolutional neural network (CNN). When trained with single frequency tones, this system can unambiguously distinguish tones closely spaced in frequency. When instead trained to recognize spoken vowels, this system outperforms existing methods for phoneme recognition, including the discrete Fourier transform (DFT), zoom FFT and chirp z-transform, especially when tested in short time windows. This sound recognition scheme therefore promises significant benefits in fast and accurate sound identification compared to existing methods.Comment: 7 pages, 4 figure