Our research interest focuses on understanding and modeling human sensory perception, with particular emphasis on vision, and how these processes guide human behavior. We utilize cutting-edge techniques such as EEG, fNIRS, eye tracking, and virtual reality (VR) to explore how sensory inputs—particularly visual and olfactory cues—influence decision-making, with a strong focus on sustainable food preferences.

Our interdisciplinary research connects cognition, data science, and human factors, providing deep insights into how sensory experiences impact consumer behavior. By leveraging the strengths of neuroimaging and mixed reality, we investigate how to optimize food choices toward more sustainable and plant-based options.

Collaboration Areas:

Sensory Perception and Decision-Making: Understanding the role of visual and olfactory cues in food preferences and promoting sustainable eating behaviors.

Consumer Behavior: Investigating the interaction between sensory modalities (vision, olfaction) and their effects on food selection and consumption patterns.

Neuroimaging Insights: Using EEG and fNIRS to analyze brain responses and cognitive processes related to food choice.
Mixed Reality for Behavioral Research: Employing VR and other immersive environments to simulate real-world food decisions and understand their cognitive foundations.

Seeking Partners:

Food Industry Partners: Collaborating with food manufacturers, retailers, and sustainability-focused brands to integrate sensory-driven strategies that promote sustainable eating choices.

Academic Institutions: Partnering for joint research projects in cognitive science, neuroimaging, and human factors, particularly related to food choices and sustainable consumption.

Public and Private Sector: Working together to develop evidence-based policies that encourage sustainable food preferences through sensory insights and behavioral science.

Our Expertise:

Mixed Reality and VR Technologies: Creating immersive environments for studying food preferences and decision-making in a controlled, yet realistic setting.

The University of Twente in the Netherlands is a leading institution renowned for its innovative and interdisciplinary approach to education and research. The university fosters a dynamic environment where technology, science, and social sciences converge, enabling students and researchers to address complex global challenges. The Cognition, Data, and Education section focuses on the intersection of human cognition, educational methodologies, and data-driven insights. This area explores how cognitive processes influence learning and how data science can enhance educational outcomes. Researchers and educators work collaboratively to design adaptive learning systems, assess learning analytics, and develop evidence-based teaching practices, ultimately advancing the quality and inclusivity of education in a digital era.