CUSTOMIZED RESEARCH
Advanced Brain Data Analysis for Complex Research Challenges
Sensory Testing
Mapping Consumer Sensory Experience
Systematically analyze consumer responses across sensory dimensions using EEG, eye-tracking, and qualitative interviews to build a comprehensive sensory database for product development, packaging, and marketing insights.
How do consumers emotionally experience different test items?
Which emotions, colors, or scenarios are best matched with different test items?
Key Questions
Case Study
Client Question
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Which scents do consumers prefer among several options?
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What sensations do different scents evoke, and how can these sensations be visually represented?
Solution
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Utilizing Two-Dimensional Emotion Model, we map the emotional impact of different scents based on EEG results.
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By integrating consumer subjective evaluations with EEG data, we create detailed profiles of each scent, considering frequency of exposure, preference, and alignment with descriptive terms and colors.
Product Recommend
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Scents C and D are most likely to evoke excitement, while scent E tends to induce pleasure.
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Combining real-time EEG data with consumer feedback, we generate detailed scent profiles.
Optimizing Sensory Stimulus Combinations
Consumer responses to multi-sensory stimuli are rigorously assessed to identify impactful combinations, enabling the creation of distinctive products and supporting innovative development.
How can various textures, flavors, and color bases be optimally combined to deliver the most effective product experience?
What impact does the addition of a specific sensory stimulus have on the overall product experience—does it enhance or diminish it?
Key Questions
Case Study
Client Question
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After adding a tea scent to the existing fragrance base, which formulation performs better?
Solution
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Under identical experimental conditions, compare the baseline performance of two products and their respective performances after adding the tea scent.
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Simultaneously analyze both consumer subjective ratings and EEG response data.
Product Recommend
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Adding tea scent to fragrances 12 and 13 does not decrease consumer preference.
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The addition of tea scent to fragrance 12 significantly improves EEG-based preference, making it the more suitable option for tea scent enhancement.
Dissecting Product Experience Elements
Quantify and analyze the link between consumer emotions and product experiences to identify optimization opportunities, using visualized user journeys to guide successful product creation.
Key Questions
At different stages of the consumer product experience, which metrics are most effective in driving changes in emotional responses?
Which subjective evaluation metrics most significantly impact consumers' emotional responses?
How do consumers emotionally experience different test items?
Which emotions, colors, or scenarios are best matched with different test items?
Key Questions
Case Study
Client Question
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Which flavor metrics most accurately reflect consumers' taste experiences?
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Specifically, which changes in flavor lead to increases or decreases in consumers' emotional responses?
Solution
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Analyze the correlation between flavor rating metrics and EEG results to identify which metrics align with EEG data, allowing for a description of emotional changes during the consumer product experience.
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Perform a precise analysis of consumers' emotional responses based on electrodes associated with specific sensory modalities.
Product Recommend
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The new flavor B requires improvement in product thickness, particularly in the initial mouthfeel.
Innovative Sensory Experience Metrics
Integrate neuroscience with consumer research to precisely quantify brain responses and establish scientific metrics for product innovation and differentiation.
Do the specific sensations set during product experiences truly elicit changes in brain electrode activity in consumers?
How can these specific sensations be visually represented more effectively? Which products are best suited for this new sensory positioning?
Key Questions
Case Study
Client Question
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The client seeks to define a new sensation, "fulfillment," in consumer product tasting experiences. Can EEG data identify signals that correspond to this sensation?
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Among several tested products, which one aligns best with the sensation of "fulfillment"?
Solution
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Conduct statistical analysis to identify EEG electrode patterns that are highly correlated with the sensation of "fulfillment."
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Evaluate and rank the tested products based on their performance with electrodes related to "fulfillment."
Product Recommend
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Respondents who experience fulfillment report positive outcomes, such as increased pleasure, comfort, and cognitive function. Product S1 aligns closely with this sensation, which can be used for further development.