Romain Cadario
Biographic Data
| ID | 1725823 |
|---|---|
| NAME | Romain Cadario |
| GIVEN NAMES | Romain |
| FAMILY NAME | Cadario |
| SIGNATURE | CADARIO R |
| AFFILIATIONS | Erasmus University Rotterdam |
| ORCID | 0000-0002-5676-9906 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 32 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Brief Commentary
Consumer researchers often compare a proposed process across contexts (i.e., moderated mediation) or across mediators (e.g., ruling out an alternative process in parallel mediation). This article aims to help researchers in mapping process-related theoretical hypotheses onto statistical coefficients and in reporting their results. Researchers can formulate a variety of hypotheses about the conditional indirect effect (CIE) of a predictor X on an …
Bridging the knowledge gap
Consumers generally underestimate the difference in GHG emissions between animal-based and plant-based items. Existing carbon labels primarily focus on enhancing metric knowledge (i.e., the general GHG emission levels of a food product) yet neglect to improve mapping knowledge (i.e., the relative differences between different food items). This research proposes the "item mapping" carbon labeling strategy, designed to link GHG emissions to food it…
Why do people eat the same breakfast every day? Goals and circadian rhythms of variety seeking in meals
People exhibit a circadian rhythm in the variety of foods they eat. Many people happily eat the same foods for breakfast day after day, yet seek more variety in the foods they eat for lunch and dinner. We identify psychological goals as a driver of this diurnal pattern of variety seeking, complementing other biological and cultural drivers. People are more likely to pursue hedonic goals for meals as the day progresses, which leads them to seek mo…
Understanding, explaining, and utilizing medical artificial intelligence
Medical artificial intelligence is cost-effective and scalable and often outperforms human providers, yet people are reluctant to use it. We show that resistance to the utilization of medical artificial intelligence is driven by both the subjective difficulty of understanding algorithms (the perception that they are a 'black box') and by an illusory subjective understanding of human medical decision-making. In five pre-registered experiments (1-3…
Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments
The effectiveness of healthy eating nudges in field settings increases as they shift from focusing on influencing cognition to affect to behavior.
Viewpoint
Which healthy eating nudges work best? A meta-analysis of field experiments
The impact of health claims and food deprivation levels on health risk perceptions of fast-food restaurants
Viewpoint
Understanding, explaining, and utilizing medical artificial intelligence
Medical artificial intelligence is cost-effective and scalable and often outperforms human providers, yet people are reluctant to use it. We show that resistance to the utilization of medical artificial intelligence is driven by both the subjective difficulty of understanding algorithms (the perception that they are a 'black box') and by an illusory subjective understanding of human medical decision-making. In five pre-registered experiments (1-3…
Which healthy eating nudges work best? A meta-analysis of field experiments
Why do people eat the same breakfast every day? Goals and circadian rhythms of variety seeking in meals
People exhibit a circadian rhythm in the variety of foods they eat. Many people happily eat the same foods for breakfast day after day, yet seek more variety in the foods they eat for lunch and dinner. We identify psychological goals as a driver of this diurnal pattern of variety seeking, complementing other biological and cultural drivers. People are more likely to pursue hedonic goals for meals as the day progresses, which leads them to seek mo…
The impact of health claims and food deprivation levels on health risk perceptions of fast-food restaurants
Bridging the knowledge gap
Consumers generally underestimate the difference in GHG emissions between animal-based and plant-based items. Existing carbon labels primarily focus on enhancing metric knowledge (i.e., the general GHG emission levels of a food product) yet neglect to improve mapping knowledge (i.e., the relative differences between different food items). This research proposes the "item mapping" carbon labeling strategy, designed to link GHG emissions to food it…
The impact of health claims and food deprivation levels on health risk perceptions of fast-food restaurants
Which healthy eating nudges work best? A meta-analysis of field experiments
Viewpoint
Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments
The effectiveness of healthy eating nudges in field settings increases as they shift from focusing on influencing cognition to affect to behavior.
Understanding, explaining, and utilizing medical artificial intelligence
Medical artificial intelligence is cost-effective and scalable and often outperforms human providers, yet people are reluctant to use it. We show that resistance to the utilization of medical artificial intelligence is driven by both the subjective difficulty of understanding algorithms (the perception that they are a 'black box') and by an illusory subjective understanding of human medical decision-making. In five pre-registered experiments (1-3…
Why do people eat the same breakfast every day? Goals and circadian rhythms of variety seeking in meals
People exhibit a circadian rhythm in the variety of foods they eat. Many people happily eat the same foods for breakfast day after day, yet seek more variety in the foods they eat for lunch and dinner. We identify psychological goals as a driver of this diurnal pattern of variety seeking, complementing other biological and cultural drivers. People are more likely to pursue hedonic goals for meals as the day progresses, which leads them to seek mo…
Bridging the knowledge gap
Consumers generally underestimate the difference in GHG emissions between animal-based and plant-based items. Existing carbon labels primarily focus on enhancing metric knowledge (i.e., the general GHG emission levels of a food product) yet neglect to improve mapping knowledge (i.e., the relative differences between different food items). This research proposes the "item mapping" carbon labeling strategy, designed to link GHG emissions to food it…
Brief Commentary
Consumer researchers often compare a proposed process across contexts (i.e., moderated mediation) or across mediators (e.g., ruling out an alternative process in parallel mediation). This article aims to help researchers in mapping process-related theoretical hypotheses onto statistical coefficients and in reporting their results. Researchers can formulate a variety of hypotheses about the conditional indirect effect (CIE) of a predictor X on an …
Psychology (5 works) · Medicine (4 works) · Obesity, Physical Activity, Diet (3 works) · Business (2 works) · Computer Science (2 works) · Consumer Attitudes and Food Labeling (2 works) · Consumer Retail Behavior Studies (2 works) · Food Science (2 works) · Mathematics (2 works) · Nudge theory (2 works)