Figure 6
The diagram shows five top rectangular boxes, arranged horizontally inside a larger box, representing A I domains. The first box labeled “Conversational and Language-Based A I” contains the items “Chatbots”, “Natural Language Processing (N L P)”, “Voice recognition”, “Sentiment analysis”, and “Emotion recognition”. The second box labeled “Recommendation and Personalization Systems” contains “Recommender systems”, “Goal-tracking systems”, “Social comparison engines”, and “Gamification engines”. The third box labeled “Vision and Recognition Technologies” contains “Computer vision”, “Deep learning models (for example, C N Ns)”, “Optical Character Recognition (O C R)”, and “Augmented or Virtual Reality (A R or V R)”, The fourth box labeled “Predictive and Decision Support A I” contains “Predictive analytics”, “Context-aware systems”, “Feedback dashboards”, and “Explainable A I (X A I)”. The fifth box labeled “Sensor-Integrated and Smart Systems A I” contains “Smart sensors”, “Context-aware systems”, and “Smart object integration (for example, smart fridges, compost bins)”. Three downward arrows from the larger box point to three horizontally arranged central boxes, labeled “Capability”, “Motivation”, and “Opportunity”, enclosed in a larger box. The “Capability” box contains the items “Knowledge and skills in food preparation”, “Knowledge and skills in food handling and storage”, “Knowledge and skills for informed consumer decision making”, and “Planning and goal-setting skills for sustainable food behavior”. The “Motivation” box contains “Habit activation for sustainable choices”, “Positive emotional connection with sustainable food choices”, “Goal commitment and self-regulation”, and “Values-based personalization”, and the “Opportunity” box contains “Personalized discovery of sustainable food options”, “Instant eco-feedback while shopping or eating”, and “Social comparison and motivation via peer benchmarks”. A single downward arrow from these three boxes leads to a row of nine boxes labeled from left to right as “Nutritional Empowerment”, “Sustainability Insight”, “Behavioral Support”, “Personalization and Relevance”, “Trust and Transparency”, “Engagement and Participation”, “Convenience and Accessibility”, “Emotional Value”, and “Self-identity Alignment”. A final downward arrow leads to a bottom row of ten boxes representing resulting impacts, labeled from left to right as “Reduction of food waste”, “Promotion of plant-based diets”, “Reduction of carbon footprint from food choices”, “Encouragement of local and seasonal food choices”, “Encouragement of ethically sourced products”, “Informed and responsible food purchasing”, “Improved environmental literacy”, “Increased transparency in food systems”, “Support for circular food systems”, and “Healthier and more sustainable dietary habits”.AI-enabled behavioral activation model for sustainable consumption. The figure illustrates how AI affordances interact with COM-B elements to activate consumer behavior and generate sustainable consumption outcomes. Source: Authors’ own