TabulaWhy does naming a feeling help?
Most mood trackers ask for a number between one and ten. A number is quick, but it leaves out most of what a feeling actually is: whether it is irritation or dread, tiredness or flatness, relief or just the absence of worry. Psychology has a name for the alternative, affect labelling, which means putting a feeling into words. A related idea, emotional granularity, describes how finely a person can tell their emotions apart. This post summarises what studies suggest about both, where the evidence is limited, and why Tabula's check-ins use words like heavy, steady and bright.
Key takeaways
- Experiments suggest that putting a feeling into words can dampen emotional reactions, even though people do not expect it to work.
- People who describe their emotions more precisely tend to have fewer depressive symptoms and to regulate more effectively, and the skill may be at least partially trainable.
- The effects are modest, depend on context, and can backfire for low-intensity feelings, so naming is a tool and not a cure.
What is affect labelling?
Affect labelling is the act of putting a feeling into words, such as saying "I feel anxious" rather than only feeling it. Researchers treat it as a form of implicit emotion regulation (Torre & Lieberman, 2018).
The idea has a neural side. In a functional magnetic resonance imaging study, labelling negative images, compared with other ways of encoding them, reduced responses in the amygdala and other limbic regions and increased activity in the right ventrolateral prefrontal cortex (Lieberman et al., 2007). Activity in the two regions was inversely related, which suggests a pathway through which words may quiet emotional reactivity. As with most imaging work, this describes brain activity during short laboratory tasks, so it is a clue about mechanism rather than a guarantee about everyday life.
Does naming a feeling help?
Studies suggest it can. Putting feelings into words has dampened negative emotion in experiments (Lieberman et al., 2011; Torre & Lieberman, 2018), and it appeared useful even in a clinical-style setting (Kircanski et al., 2012).
In four studies, self-reported distress was lower during labelling than during passive viewing, and the effect resembled that of reappraisal and distraction (Lieberman et al., 2011). A curious twist is that participants did not believe labelling would help, even after experiencing that it did. In an exposure-therapy experiment, spider-fearful adults who labelled their feelings showed a smaller skin conductance response a week later than those who reappraised, were distracted, or had exposure alone, although they did not report less fear (Kircanski et al., 2012). Using more fear and anxiety words during exposure was associated with larger reductions in fear responding. That mixed pattern, with a physiological effect but no self-reported one, is a reminder that the benefits are real but narrow.
What is emotional granularity, and does it matter?
Emotional granularity, also called emotion differentiation, is the tendency to describe and experience emotions with precision. People who name emotions more finely tend to have less depression and cope better (Kashdan et al., 2015; Kalokerinos et al., 2019).
Two experience-sampling studies (200 and 101 participants) found that among people with low negative emotion differentiation, most regulation strategies were more strongly linked with increased negative emotion than among high differentiators (Kalokerinos et al., 2019). The authors read this as suggesting that low differentiation may hinder successful regulation. A meta-analysis of 17 studies found that higher negative emotion differentiation was associated with fewer maladaptive behaviours, such as binge drinking or self-injury, with a small effect (r = -.15) that held after controlling for negative affect (Seah & Coifman, 2022). Granularity may matter for good feelings too: a paper on resilience described positive emotional granularity as the tendency to represent positive emotion with precision, and examined its role in coping (Tugade et al., 2004).
All of this is correlational. People who are less distressed may simply find it easier to describe how they feel, which is why the next question matters.
Can you get better at it?
Possibly. In one study, repeated emotion reporting through experience sampling was associated with rising emotional granularity over six weeks, alongside falls in depression and alexithymia (Petagna et al., 2026).
That study followed 123 adults from the general public, who reported their emotions several times a day. Increases in granularity corresponded with concurrent decreases in alexithymia and depression symptoms, though these were within-person associations, not proof that one caused the other (Petagna et al., 2026). A separate experiment with 92 college students tested "scaffolding": offering emotion words first and then asking for free responses. Compared with controls, the scaffolded group showed greater differentiation when later describing negative emotions in their own words, but there were no group differences in psychological symptoms (Seah & Coifman, 2025). The authors describe the result as preliminary, and I would too.
Why might words capture more than a number?
Because people use far more words than rating scales offer. In a 14-day diary study of 191 young adults, 87% of the words participants used for negative emotions were not on standard emotion scales (Lunsford & Eddington, 2026).
The same study found something worth being careful about. How specific the label was did not predict momentary rumination, but how clearly people could attribute the emotion to a cause did predict momentary rumination, overgeneralising and depressive symptoms (Lunsford & Eddington, 2026). The authors point to limitations in how specificity was coded and suggest that understanding why one feels something may matter alongside what to call it. For a tracker, that supports offering plain words and an optional note about what is behind a feeling, rather than a long list of precise labels.
Are there caveats?
Yes. Labelling low-intensity negative feelings increased distress for some people (Levy-Gigi & Shamay-Tsoory, 2022), and labelling positive feelings intensified them (Vlasenko et al., 2021).
In a second experiment with 79 participants, simultaneous labelling reduced distress for high-intensity aversive pictures but increased it for low-intensity ones (Levy-Gigi & Shamay-Tsoory, 2022). In four studies by Vlasenko and colleagues, labelling positive emotions raised their intensity, and the authors did not replicate earlier findings that affect labelling reduces negative emotion, instead finding content labelling the more consistent predictor (Vlasenko et al., 2021). Lieberman et al. (2011) also found labelling dampened reported pleasure for positive images. The overall picture is that labelling tends to turn emotional volume down or up depending on the situation, and not simply to cheer people up. That is why every part of a Tabula check-in is optional.
What is missing from the evidence?
Quite a lot. Much of the labelling work uses lab tasks with pictures, and many granularity studies are small or use college students, so it is unclear how well the findings carry over to daily life, to older adults, or to people from different cultures and languages.
Granularity studies are mostly correlational, and measuring it from rating scales can miss the words people would actually choose (Lunsford & Eddington, 2026). Few studies test whether choosing from a word list in an app changes anything over months, and the scaffolding results did not translate into symptom change (Seah & Coifman, 2025). As such, naming feelings is best understood as a tool for noticing and communicating, not a cure, and nothing here shows that any tracker treats or improves a condition.
What does Tabula do about it?
Tabula check-ins offer words like heavy, flat, steady, light and bright for mood, and drained to wired for energy. You can add your own words and an optional note about what is behind a feeling, and the number stays optional.
Logging is minimal and one-tap, with no streaks and no penalty for missed days, so a check-in never becomes another demand. Your entries and the on-device AI stay on your device. Tabula is a personal journal and not a medical tool or a treatment, and its words are meant to help you notice and look back on how you feel, not to tell you what to feel. The studies above suggest that naming helps some people in some situations and not others, so Tabula leaves the choice with you.
References
Kalokerinos, E. K., Erbas, Y., Ceulemans, E., & Kuppens, P. (2019). Differentiate to regulate: Low negative emotion differentiation is associated with ineffective use but not selection of emotion-regulation strategies. Psychological Science, 30(6), 863–879. https://doi.org/10.1177/0956797619838763
Kashdan, T. B., Barrett, L. F., & McKnight, P. E. (2015). Unpacking emotion differentiation: Transforming unpleasant experience by perceiving distinctions in negativity. Current Directions in Psychological Science, 24(1), 10–16. https://doi.org/10.1177/0963721414550708
Kircanski, K., Lieberman, M. D., & Craske, M. G. (2012). Feelings into words: Contributions of language to exposure therapy. Psychological Science, 23(10), 1086–1091. https://doi.org/10.1177/0956797612443830
Levy-Gigi, E., & Shamay-Tsoory, S. G. (2022). Affect labeling: The role of timing and intensity. PLOS ONE, 17(12), Article e0279303. https://doi.org/10.1371/journal.pone.0279303
Lieberman, M. D., Eisenberger, N. I., Crockett, M. J., Tom, S. M., Pfeifer, J. H., & Way, B. M. (2007). Putting feelings into words: Affect labeling disrupts amygdala activity in response to affective stimuli. Psychological Science, 18(5), 421–428. https://doi.org/10.1111/j.1467-9280.2007.01916.x
Lieberman, M. D., Inagaki, T. K., Tabibnia, G., & Crockett, M. J. (2011). Subjective responses to emotional stimuli during labeling, reappraisal, and distraction. Emotion, 11(3), 468–480. https://doi.org/10.1037/a0023503
Lunsford, J. M., & Eddington, K. M. (2026). Emotional specificity and attributional clarity in daily life: Associations with depression, rumination, and overgeneralizing cognitions. Emotion, 26(6), 1564–1572. https://doi.org/10.1037/emo0001667
Petagna, K. D., Ecker, A. L., Reid, T. E., McMullen, K. M., Quigley, K. S., & Wormwood, J. B. (2026). Within-person changes in emotional complexity are associated with concurrent changes in mental health symptoms. International Journal of Clinical and Health Psychology, 26(1), Article 100659. https://doi.org/10.1016/j.ijchp.2025.100659
Seah, T. H. S., & Coifman, K. G. (2022). Emotion differentiation and behavioral dysregulation in clinical and nonclinical samples: A meta-analysis. Emotion, 22(7), 1686–1697. https://doi.org/10.1037/emo0000968
Seah, T. H. S., & Coifman, K. G. (2025). Effects of scaffolding emotion language use on emotion differentiation and psychological health: An experience-sampling study. Cognition and Emotion, 39(7), 1719–1736. https://doi.org/10.1080/02699931.2024.2382334
Torre, J. B., & Lieberman, M. D. (2018). Putting feelings into words: Affect labeling as implicit emotion regulation. Emotion Review, 10(2), 116–124. https://doi.org/10.1177/1754073917742706
Tugade, M. M., Fredrickson, B. L., & Barrett, L. F. (2004). Psychological resilience and positive emotional granularity: Examining the benefits of positive emotions on coping and health. Journal of Personality, 72(6), 1161–1190. https://doi.org/10.1111/j.1467-6494.2004.00294.x
Vlasenko, V. V., Rogers, E. G., & Waugh, C. E. (2021). Affect labelling increases the intensity of positive emotions. Cognition and Emotion, 35(7), 1350–1364. https://doi.org/10.1080/02699931.2021.1959302