Browsing by Author "Gazeloglu, Cengiz"

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Do the Positive Aspects of Tourism Affect Hotel Staff’s Perceptions of Tourists? A Study in Antalya and Eskisehir
(İrfan YAZICIOĞLU, 2017) Emir, Oktay; Gazeloglu, Cengiz; Arslantürk, Yalçın; 0000-0002-7972-1980; 0000-0002-8222-3384; AGÜ, Eğitim Bilimleri Fakültesi, Temel Eğitim Bölümü; Gazeloğlu, Yalçın; 01. Abdullah Gül University
Tourism is a field of activity given importance by both the participants and the tourism investors. In addition to the environmental factors affecting tourism activities, there are economic, social and physical factors depending on tourism activities. As well as the positive aspects of these factors, there are negative ones, too. This study sets out to seek an answer to whether the positive social, economic and physical impacts of tourism affect the perception of tourist thought the opinions of hotel employees. The study data were obtained from hotels tourism establishment certificate in Eskişehir and Antalya in 2015. The total number of questionnaire form evaluated is 874. In order to test the relation among the variables under consideration structural equation model has been employed. The coefficients among the variables in the structural equation model are statistically significant. Considering the study on the whole, hotel employees have awareness of tourism and tourist concepts alike, and there is an inverse relationship between the social impacts of tourism on the perception of tourist in both cities. Besides, there is a linear relationship between the economic and physical impacts of tourism and the perception of tourist
Citation - WoS: 1
Citation - Scopus: 1
Prediction of Preference and Effect of Music on Preference: A Preliminary Study on Electroencephalography from Young Women
(Tubitak Scientific & Technological Research Council Turkey, 2019) Yilmaz, Bulent; Gazeloglu, Cengiz; Altindis, Fatih; 01. Abdullah Gül University; 02. Mühendislik Fakültesi; 02.05. Elektrik & Elektronik Mühendisliği
Neuromarketing is the application of the neuroscientific approaches to analyze and understand economically relevant behavior. In this study, the effect of loud and rhythmic music in a sample neuromarketing setup is investigated. The second aim was to develop an approach in the prediction of preference using only brain signals. In this work, 19-channel EEG signals were recorded and two experimental paradigms were implemented: no music/silence and rhythmic, loud music using a headphone, while viewing women shoes. For each 10-sec epoch, normalized power spectral density (PSD) of EEG data for six frequency bands was estimated using the Burg method. The effect of music was investigated by comparing the mean differences between music and no music groups using independent two-sample t-test. In the preference prediction part sequential forward selection, k-nearest neighbors (k-NN) and the support vector machines (SVM), and 5-fold cross-validation approaches were used. It is found that music did not affect like decision in any of the power bands, on the contrary, music affected dislike decisions for all bands with no exceptions. Furthermore, the accuracies obtained in preference prediction study were between 77.5 and 82.5% for k-NN and SVM techniques. The results of the study showed the feasibility of using EEG signals in the investigation of the music effect on purchasing behavior and the prediction of preference of an individual.
Statistical Analysis of Vehicle Driver Behaviors
(Amer Inst Physics, 2018) Saracli, Sinan; Gazeloglu, Cengiz; 0000-0002-8222-3384; AGÜ, Eğitim Bilimleri Fakültesi, Temel Eğitim Bölümü; Gazeloǧlu, Cengiz; 01. Abdullah Gül University
Purpose of this study is to examine the drivers' attitudes and behaviors in traffic via statistical techniques. With this purpose, the reactions of the motor vehicle drivers in traffic, correlations between negative reactions and personality characteristics and how they describe themselves and how they feel while they are driving have been examined. The participants of this study are composed of 500 drivers in Afyonkarahisar Province dates between 01 April - 30 June 2016. To measure the drivers attitudes and behaviors in traffic, a Likert scale type questionnaire, which was used in Cmar 's (2007) study, ranging from 1 'strongly disagree' to 5 'strongly agree' is applied on a face-to-face basis. Because of some unfilled and wrong filled questionnaires, the statistical analyses were applied to over 440 questionnaires. Drivers attitudes and behaviors and the behavior types whether they do or they exposure, on their feelings and determinations of themselves as a driver were examined via CHAID and Multi Dimensional Scaling Analysis. SPSS Software is used to perform the statistical analysis. Some of the important results of the analysis showed that drivers who feel themselves aggressive while driving, determine themselves as drivers since they were born. Physical attack / fighting: as a behavior that they were exposed to was also found significant on the variable of determining themselves as how driver they are.