Emotional AI consulting
Boost Your Marketing Strategy with AFFECTIVE COMPUTING: Bring NeW INSIGHT TO LIFE Through Emotions!
At Digital Emotion Lab, we offer a unique service designed for companies, startups, and marketing professionals that combines the power of emotional data with the best measurement technologies. Our innovative approach helps you understand and anticipate your customers' emotions for an optimized user journey and hyper-targeted segmentation.
With our expertise, we enhance your market research with emotional data obtained through state-of-the-art technologies such as facial coding, EEG, eye tracking, and voice and text analysis. We have built strategic partnerships with specialized companies to offer you tailored solutions while ensuring compliance with ethical regulations and data privacy.
OUR SERVICES
Our Emotional AI consulting services are designed to empower your marketing strategy with deep emotional insights. Through advanced data analysis and specialized technologies, we provide you with the tools to capture and understand the emotions driving your customers' decisions.
01
Audit and Needs Assessment
Identify your goals through an in-depth analysis of your challenges and define the most suitable emotional measurement method based on your resources.
02
Tailored Technological Partnerships
Benefit from our network of expert partners in emotion analysis to integrate the most advanced tools available.
03
Emotional Segmentation and Personalized Targeting
Use an emotional approach to create precise personas and empathy maps that capture your customers' deep desires, driving more impactful marketing campaigns.
04
Strategic Recommendations
Based on the emotions collected, receive actionable recommendations to enhance your campaigns, optimize customer journeys, and increase engagement.
Transform your marketing strategy with cutting-edge advancements in Emotional AI
neurobiological emotion
Neurobiological emotions are studied through brain activity and neural processes. Using advanced AI and neuroscience, we capture and analyze these signals to offer brands a deeper understanding of consumer behavior and emotions.
facial expression emotion
Facial expressions reveal hidden emotions through subtle cues. With facial coding technology, we decode these expressions, enabling brands to engage with customers in a more authentic and empathetic way.
physiological emotion
Physiological emotions are reflected through bodily changes, like heart rate and skin conductance. Using advanced sensors, we analyze these signals in real-time, helping brands understand the emotional impact of their products and services.
Our Emotional IA include
Emotion AI based on facial expression analysis (Facial Coding)
This technology analyzes facial expressions using cameras and algorithms to identify micro-expressions that reveal emotions like surprise, disgust, or fear.
-
Applications: Advertising (consumer reactions), social interactions analysis, real-time feedback...
Emotion AI based on voice analysis
These systems detect emotions through the analysis of tones, inflections, and speech patterns. They can recognize emotions such as joy, sadness, anger, or excitement.
-
Applications: Customer service, voice assistants, call analysis...
Emotion AI based on biological sensors (EEG, ECG, etc.)
These systems use physiological sensors to measure emotional responses through bodily signals, such as brainwaves (EEG), heart rate (ECG), skin conductance, etc.
-
Applications: Medical research, stress level evaluation, enhancing user experience in immersive environments like virtual reality.
Emotion AI based on text analysis
AI analyzes textual content (emails, messages, social media) to detect emotional cues in the language, such as joy, anger, or sadness. It can also detect sarcasm and irony through semantic analysis.
-
Applications: Sentiment analysis for brands, social media monitoring, chatbot interactions.
Emotion AI based on behavioral analysis (Eye Tracking, etc.)
These systems monitor non-verbal behaviors, such as eye movement, to interpret emotional reactions. For example, pupil dilation or gaze fixation duration are emotional indicators.
-
Applications: UX/UI design, market research, reaction analysis in immersive environments.
Emotion AI integrated into immersive environments VR & AR
Used in virtual reality (VR) and augmented reality (AR) environments, this AI can adapt the immersive experience based on the perceived emotions of the user.
-
Applications: Immersive training, entertainment, mental health (phobia treatment, etc.).
Why Choose
Digital Emotion Lab ?
Leverage multi-modal technologies for a detailed understanding of your customers' emotions.
Cutting-Edge Innovation
Strategic advice based on emotional data, backed by a network of specialized technological partners.
Unique Expertise
We ensure responsible and ethical use of emotional data, complying with current regulations.