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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
    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
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    Prediction of preference and effect of music on preference: a preliminary study on electroencephalography from young women
    (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2019) Yilmaz, Bulent; Gazeloglu, Cengiz; Altindis, Fatih; AGÜ, Mühendislik Fakültesi, Elektrik & Elektronik Mühendisliği Bölümü;
    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.