Decoding Emotions in Food: Why Understanding Feelings Matters More Than Just Liking
"Go beyond 'Do you like it?' and explore the real emotional connections consumers have with food. Unlock deeper insights to predict choices and enhance product appeal."
The author expresses gratitude to experts for their insightful commentaries on their article, emphasizing that the goal is not to counter individual points but to provide context for the article's purpose.
Drawing from years of sensory meeting attendance, the author notes a growing interest in measuring emotions, driven by dissatisfaction with the predictive power of liking/acceptability/preference measurements alone. Sensory scientists are exploring if adding emotional measures can improve the ability to predict actual food choices.
The article assumes that those exploring emotion measurement are familiar with publications in journals and books focused on consumer products but might be less aware of broader issues discussed in psychology and affective science.
Beyond Valence and Arousal: The Nuances of Emotional Meaning
The author clarifies that the intention was not to be prescriptive, even if it seemed like favoring valence and arousal measurements over individual emotions. The core belief is that emotions like fear, anger, disappointment, joy, disgust, and awe are all real and impactful.
- Context Matters: Emotional responses are heavily influenced by the situation and environment.
- Individual Differences: People interpret and experience emotions uniquely.
- Beyond Simple Scales: Measuring simple liking might miss crucial emotional drivers.
The Future of Food Choice: Are We Measuring the Right Things?
A colleague's critique prompts reflection: are measures of emotion being held to too high a standard compared to measures of liking? The author concedes the point, acknowledging that we often don't know what "liking" truly means, yet it remains a useful measure.
However, this very ambiguity is the problem. A better understanding of what "liking" encompasses could significantly improve its predictive power regarding food choices. The question is, how to interpret data?
The author proposes a critical examination of how "liking" has been measured over the past 50+ years and asks if we want to repeat the same uncertainties with emotion measures in the next 50 years. Are we measuring the right things?