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Enhancing Imaging Anatomy Competency: Integrating Digital Imaging and Communications in Medicine (DICOM) Viewers Into the Anatomy Lab Experience
Introduction: Radiologic interpretation is a skill necessary for all physicians to provide quality care for their patients. However, some medical students are not exposed to Digital Imaging and Communications in Medicine (DICOM) imaging manipulation until their third year during clinical rotations. The objective of this study is to evaluate how medical students exposed to DICOM […]
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Shaken, not stirred: Effects of Minimal Rotational Motion Cues on Cybersickness in a VR Flying Experience
Cybersickness (CS), a visually induced motion sickness causing unwanted symptoms like nausea, disorientation, and vertigo, remains a significant issue in Head-Mounted-Display (HMD) based virtual environments, hindering the mainstream adoption of Virtual Reality (VR). The exact cause of cybersickness is still not conclusively clarified, however the predominant theory of sensory conflict suggests that the discrepancy between […]
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This article is… Consumer reactions to unfinished teasers for digital content
To preview digital content and arouse consumers’ interest, online providers often use short teasers designed in an unfinished form, such that the teaser begins a new sentence but does not finish it. These teasers aim to create curiosity and trigger consumption of the advertised content. However, we reveal that consumers’ reactions to unfinished teasers are […]
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Implicit and explicit liking of a snack with health- versus taste-related information
Despite extensive consumer testing during product development, healthy snacks often fail in the market. This indicates that other factors are at play besides what is traditionally being tested before product launch. The aim of the study was to examine how exposure to a snack with a health versus taste message affects perceived healthiness, expected tastiness, […]
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Utilizing Eye-Tracking in Advertising: Preliminary Findings
Eye-tracking research is steadily increasing, with emerging hypotheses about the connection between eye movements and cognitive processes in advertising contexts. This study aimed to utilize eye-tracking technology to explore how consumers perceive advertising appeals, particularly in distinguishing between the promoted product and the accompanying elements within an advertisement. The research sample included 35 students aged […]
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My money—My problem: How fear-of-missing-out appeals can hinder sustainable investment decisions
Cryptocurrencies (cryptos) have detrimental environmental effects due to their massive energy consumption. While several green crypto coins have been launched, the mainstream—environmentally unfriendly coins—still lead the market. In this study, we explore if influencer marketing, specifically fear-of-missing-out (FOMO) appeals, can contribute to promoting green crypto coin purchases to encourage sustainable investments. The results of five […]
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From E-Commerce to the Metaverse: A Neuroscientific Analysis of Digital Consumer Behavior
The growing interest in consumer behavior in the digital environment is leading scholars and companies to focus on consumer behavior and choices on digital platforms, such as the metaverse. On this immersive digital shopping platform, consumer neuroscience provides an optimal opportunity to explore consumers’ emotions and cognitions. In this study, neuroscience techniques (EEG, SC, BVP) […]
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Beyond negativity? A laboratory study on emotional responses to populist strategies on social media
This exploratory laboratory study analyzes emotional responses to two types of populist strategies on social media platforms. We focus on emotional responses to content expressing ordinariness (on Instagram) and victimhood (on TikTok), where the content creator is a right-wing populist leader who is unfavorably perceived by the respondents in the study. Thus, the study critically […]
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A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities
Early detection of Autism Spectrum Disorder (ASD) is crucial to facilitate timely interventions, improve outcomes, and enhance the quality of life for individuals on the spectrum. Artificial intelligence and machine learning have significantly advanced the study of ASD by enabling sophisticated analyses of complex behavioural data, providing more accurate and timely detection methods. Nevertheless, existing […]
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Are pie charts evil? An assessment of the value of pie and donut charts compared to bar charts
Many data visualization experts recommend the use of bar charts over pie charts because they consider comparing the area or angle of segments to be less accurate than comparing bars on a bar chart. However, many studies show that when the pie chart is used to estimate proportions (arguably its main function) it is as […]
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