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Article Citation - WoS: 3Citation - Scopus: 4Attention Mediates the Effect of Emotional Arousal on Learning Outcomes in Multimedia Learning: an Eye-Tracking Study(Routledge Journals, Taylor & Francis Ltd, 2023) Aksaray, Sevgi Genc; Ozcelik, ErolRecent findings from psychological studies have shown that emotional arousal improves human memory. However, more evidence is necessary if these results are generalisable to multimedia learning environments. Considering these needs, the study has the goal to examine the effect of emotional arousal on multimedia learning. Fifty-seven participants were presented with instructional materials with either high- or low-arousing words and pictures in an experimental study. The eye movements of participants were recorded while they studied the instructional materials to examine the online processes during learning. The results suggest that emotional arousal enhanced recall and transfer scores. The eye-tracking results demonstrate that emotional arousal attracted attention. The results of the mediation analysis suggest that fixation time on emotional pictures as an indicator of attention mediated the relationship between emotional arousal and learning outcomes. The findings show the importance of the guidance of attention by emotional multimedia elements for learning.Article Citation - WoS: 8Citation - Scopus: 10Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios(Ieee-inst Electrical Electronics Engineers inc, 2019) Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz ErcilDespite providing several insights into visual attention and evidence regarding certain brain states and psychological functions, classifying eye movements is a highly demanding process. Currently, there are several algorithms to classify eye movement events which use different approaches. However, to date, only a limited number of studies have assessed these algorithms under specific conditions, such as those required for surgical training programmes. This study presents an investigation of ten open-source eye-movement classification algorithms using the Eye Tribe eye-tracker. The algorithms were tested on the eye-movement records obtained from 23 surgical residents, who performed computer-based surgical simulation tasks under different hand conditions. The aim was to offer data for the improvement of surgical training programmes. According to the results, due to the different classification methods and default threshold values, the ten algorithms produced different results. Considering the fixation duration, the only common event for all of the investigated algorithms, the binocular-individual threshold (BIT) algorithm resulted in a different clustering compared to the other algorithms. Based on the other set of common events, three clusters were determined by eight algorithms (except BIT and event detection (ED)), distinguishing dispersion-based, velocity-based and modified versions of velocity-based algorithms. Accordingly, it was concluded that dispersion-based and velocity-based algorithms provided different results. Additionally, as it individually specifies the threshold values for the eye-movement data, when there is no consensus about the threshold values to be set, the BIT algorithm can be selected. Especially for such cases like simulation-based surgical skill-training, the use of individualised threshold values in the BIT algorithm can be more beneficial in classifying the raw eye data and thus evaluating the individual progress levels of trainees based on their eye movement behaviours. In conclusion, the threshold values had a critical effect on the algorithm results. Since default values may not always be suitable for the unique features of different data sets, guidelines should be developed to indicate how the threshold values are set for each algorithm.Article Citation - WoS: 16Citation - Scopus: 20The Effects of the Content Elements of Online Banner Ads on Visual Attention: Evidence From An-Eye Study(Mdpi, 2021) Peker, Serhat; Menekse Dalveren, Gonca Gokce; Inal, YavuzThe aim of this paper is to examine the influence of the content elements of online banner ads on customers' visual attention, and to evaluate the impacts of gender, discount rate and brand familiarity on this issue. An eye-tracking study with 34 participants (18 male and 16 female) was conducted, in which the participants were presented with eight types of online banner ads comprising three content elements-namely brand, discount rate and image-while their eye movements were recorded. The results showed that the image was the most attractive area among the three main content elements. Furthermore, the middle areas of the banners were noticed first, and areas located on the left side were mostly noticed earlier than those on the right side. The results also indicated that the discount areas of banners with higher discount rates were more attractive and eye-catching compared to those of banners with lower discount rates. In addition to these, the participants who were familiar with the brand mostly concentrated on the discount area, while those who were unfamiliar with the brand mostly paid attention to the image area. The findings from this study will assist marketers in creating more effective and efficient online banner ads that appeal to customers, ultimately fostering positive attitudes towards the advertisement.
