Visual attention is an important condition for consumer decision-making. However, not much is known on individuals' determinants of this visual attention. Using eye tracking, this study investigated how psychological values (i.e., materialism) modulate visual attention to specific sources of information (i.e., product, brand and additional information) in the context of luxury consumption. Participants were asked to perform a forced-choice experiment, where products were randomly assigned with luxury and non-luxury brands (Experiment 1) and product information (Experiment 2). Experiment 1 revealed that materialism was related to relatively higher attention to luxury as opposed to non-luxury and higher choice proportion of products displayed with a luxury brand. Experiment 2 showed that when providing additional product information (e.g., regarding the material) in addition to the brand, all participants chose luxury products more often. Interestingly, choices seemed to be driven by enhanced attention to brand for participants with high levels of materialism when choosing luxury products. In contrast, choices were driven by text for participants with low levels of materialism for non-luxury products. This suggests that individuals with high levels of materialism may prefer luxury products for different reasons than individuals with low levels of materialism: while the first focus on the symbolic dimension conveyed by the brand (Experiment 1), the latter pay attention to the actual product characteristics (Experiment 2). Taken together, our results suggest that materialism as a psychological value has an impact on visual attention and information selection during decision-making in the context of luxury consumption.
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http://dx.doi.org/10.3389/fnbeh.2018.00172 | DOI Listing |
BMC Psychol
January 2025
Faculty of Psychology, Naval Medical University, Shanghai, China.
Anxiety is known to significantly impair cognitive function, particularly attentional control. While exercise has been demonstrated to alleviate these cognitive deficits, the precise neural mechanisms underlying these effects remain poorly understood. This study examines the effects of exercise on attentional control in individuals with high trait anxiety, based on attentional control theory, which suggests that such individuals have reduced top-down attention.
View Article and Find Full Text PDFNeuroscience
January 2025
Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China. Electronic address:
Abnormal functional and structural connectivity of brain networks is commonly observed in patients with type 2 diabetes mellitus (T2DM) and accompanied bycognitive impairment. In this study, we revealed differences in brain structure in T2DM using a Morphometric Similarity Network (MSN) method, which quantifies structural similarities between brain regions. The associations between T2DM-associated changes in morphometric similarity (MS) and gene expression were analyzed to explore the molecular and cellular mechanism underlying MS changes in T2DM.
View Article and Find Full Text PDFNeural Netw
January 2025
College of Engineering, Shantou University, Shantou, 515063, China; Key Laboratory of Intelligent Manufacturing Technology, Ministry of Education, Shantou University, Shantou, 515063, China. Electronic address:
Under the advancement of artificial intelligence, Unmanned Aerial Vehicles (UAVs) exhibit efficient flexibility in military reconnaissance, traffic monitoring, and crop analysis. However, the UAV detection faces unique challenges due to the UAV's small size in images, high flight speeds, and limited computational resources. This paper introduces a novel Background-centric Attention Module (BAM) to address these challenges.
View Article and Find Full Text PDFPLoS One
January 2025
School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researchers have explored clinical predictive models using real medical text data. Medical text data include large amounts of information regarding patients, which increases the sequence length.
View Article and Find Full Text PDFAdv Biotechnol (Singap)
March 2024
State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.
Plant lipids are a diverse group of biomolecules that play essential roles in plant architecture, physiology, and signaling. To advance our understanding of plant biology and facilitate innovations in plant-based product development, we must have precise methods for the comprehensive analysis of plant lipids. Here, we present a comprehensive overview of current research investigating plant lipids, including their structures, metabolism, and functions.
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