Neuromarketing as a tool for environmental conditioning and sustainable consumption
Abstract
The impact of human factors on climate change is unequivocal. While consumers are increasingly becoming aware of their environmental footprint, this is not sufficient: contextual factors such as pricing, convenience, and packaging play a role in consumers’ decision-making. This has created a gap between consumers’ attitudes and behavior, which calls for intervention of behavioral sciences to change consumer behavior and consequently combat the climate crisis effectively. Consumer neuroscience methodology has been proposed as a potential tool to untangle the neural and psychological origins of consumers’ behavior since subjective reports may be biased by social desirability and therefore are not a reliable measure of pro-environmental behavior. Prior studies have shown that conditioning the consumer with information on the environmental impact of products can influence their buying behavior and brain activity. This paper provides an extended exploration of past works on consumer neuroscience, environmental behavior, and conditioning techniques. We aim to unite the current theories and common practices and uncover future research directions in an effort to develop a neuroscientifically supported conditioning intervention that could promote pro-environmental behavior in consumers.
Keywords: Neuromarketing, Sustainability, Pro-Environmental Behavior, Priming
DOI: 10.54941/ahfe1001823
Cite this paper
More from this volume
- Application of ExpressDecision2 in User-Centered and Shared-with-Expert Decisions Under Risk and Uncertainty
- The Psyche of “Self” in Students’ Systemic and Structural Interaction with Online Teaching-Learning Platforms
- Surgeon’s performance: analogy with aircraft pilot’s challenges
- Modelling And Simulation With Biofeedback For Operators Of Human-Machine Systems
- Assertiveness in the System of Behavioral Strategies of the Modern Youth
- Rationale and Application of Express Algorithms for Mental Health Assessment in Professional Selection and Screening Examinations
- Evaluation of Real-time Assessment of Human Operator Workload during a Simulated Crisis Situation, Using EEG and PPG
- Physiological markers of vigilance variation in a supervisory task
- Classifying mental workload using EEG data: A machine learning approach
- An Innovative Measure of Cognitive Function in the Human-Autonomy Partnership
- Thermal Imaging of the Face: Mental Workload Detection in Flight Simulator
- FNIRS an emerging technology for design: advantages and disadvantages.


AHFE Open Access