scholarly journals Statistical Analysis, Synesthesia, Time Perception, Attention Restoration, Face Perception, Visual Attention, Tactile Perception

2009 ◽  
Vol 71 (3) ◽  
pp. 433-434
2018 ◽  
Vol 10 (9) ◽  
pp. 3038 ◽  
Author(s):  
Tsai Wang ◽  
Chia Tsai ◽  
Ta Tang

The beautiful, natural environment in a tourist hotel’s marketing images can evoke relaxing and soothing emotions. However, can tourist hotels use nature as a servicescape to make their performing arts services more attractive? Based on attention restoration and servicescape theory, this study explores and compares the influence of tourist hotels’ performing arts images with nature- or built-based servicescapes on the advertising effectiveness (i.e., customer visual attention and behavioral intention). To analyze visual attention on the marketing images, this study uses eye-tracking technology to record customer visual trajectories. This experiment used a total of 113 participants. The sample size of the nature-based servicescape group was 59 (age with mean = 39.04), and that of the built-based servicescape group was 54 (age with mean = 40.17). A tourist hotel’s (Volando Urai Spring Spa & Resort) marketing images were chosen as stimuli. All participants were randomly assigned to the nature-based or the built-based servicescape group. In each experimental group, all the images were randomly presented to reduce any order effects of the images. By using eye-tracking analysis, the experimental findings were as follows: (1) A nature-based servicescape can arouse more visual attention of customers than a built-based servicescape can; (2) Marketing images with performing arts activities in nature-based servicescapes attract the visual attention of customers; (3) Nature-based servicescapes stimulate higher behavioral intentions of consumers than built-based servicescape.


2017 ◽  
Vol 54 (8) ◽  
pp. 1138-1150 ◽  
Author(s):  
Joaquin Navajas ◽  
Aleksander W. Nitka ◽  
Rodrigo Quian Quiroga

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.


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