Neuroscientific Analysis of Logo Design: Implications for Luxury Brand Marketing

This study examines the influence of dynamic and verbal elements in logo design on consumer behaviour in the luxury retail sector using advanced neuroscience technology (Predict v.1.0) and traditional cognitive survey methods. AI-powered eye tracking (<i>n</i> = 255,000), EEG technology (<i>n</i> = 45,000), implicit testing (<i>n</i> = 9000), and memory testing (<i>n</i> = 7000) were used to predict human behaviour. Qualitative cognitive surveys (<i>n</i> = 297), saliency map analysis, and emotional response evaluation were employed to analyse three distinct logo designs. The results indicate that logos with prominent dynamic elements, particularly visually distinct icons, demonstrate superior performance in capturing and maintaining viewer attention compared with static designs. A strong correlation was found between cognitive demand and engagement, suggesting that dynamic elements enhance emotional connections and brand recall. However, the effectiveness of dynamic features varied, with more pronounced elements yielding better results for industry associations and premium market alignment. This study, combining advanced neuroscience technology with traditional cognitive survey methods, makes significant contributions to the field and opens up new avenues for research and application. The findings provide valuable insights for luxury brand managers in optimising logo designs to enhance emotional connection and brand perception and improve academia by providing powerful tools for understanding and predicting human responses to visual stimuli.

Authors

Publication Details

Journal
Behavioral Sciences
Published
2025-04-09
DOI
https://doi.org/10.3390/bs15040502
Citations
5
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
12.19
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article

Neuroscientific Analysis of Logo Design: Implications for Luxury Brand Marketing

Fayyaz Hussain Qureshi, Sarwar Khawaja, Hedda Martina Šola
5 citations
Behavioral Sciences
Color perception and design
12.19
article

Neuroscientific Analysis of Logo Design: Implications for Luxury Brand Marketing

Fayyaz Hussain Qureshi, Sarwar Khawaja, Hedda Martina Šola
article en
5 citations

Abstract

This study examines the influence of dynamic and verbal elements in logo design on consumer behaviour in the luxury retail sector using advanced neuroscience technology (Predict v.1.0) and traditional cognitive survey methods. AI-powered eye tracking (<i>n</i> = 255,000), EEG technology (<i>n</i> = 45,000), implicit testing (<i>n</i> = 9000), and memory testing (<i>n</i> = 7000) were used to predict human behaviour. Qualitative cognitive surveys (<i>n</i> = 297), saliency map analysis, and emotional response evaluation were employed to analyse three distinct logo designs. The results indicate that logos with prominent dynamic elements, particularly visually distinct icons, demonstrate superior performance in capturing and maintaining viewer attention compared with static designs. A strong correlation was found between cognitive demand and engagement, suggesting that dynamic elements enhance emotional connections and brand recall. However, the effectiveness of dynamic features varied, with more pronounced elements yielding better results for industry associations and premium market alignment. This study, combining advanced neuroscience technology with traditional cognitive survey methods, makes significant contributions to the field and opens up new avenues for research and application. The findings provide valuable insights for luxury brand managers in optimising logo designs to enhance emotional connection and brand perception and improve academia by providing powerful tools for understanding and predicting human responses to visual stimuli.

Behavioral SciencesVol. 15(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Color perception and design
12.19
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Neuroscientific Analysis of Logo Design: Implications for Luxury Brand Marketing — Fayyaz Hussain Qureshi, Sarwar Khawaja, et al. · Behavioral Sciences (2025) | TGRS Research Map | TGRS