| Literature DB >> 31415640 |
Amanda N Gesselman1, Vivian P Ta2, Justin R Garcia1,3.
Abstract
Computer-mediated communication (CMC) is pervasive in our lives, influencing social interaction including human courtship. To connect with potential partners via CMC, modern relationship-seekers must master faster and shorter methods of communicating self-disclosure and affect. Although CMC can lack crucial sensory information in this context, emojis may provide useful aid. Across two studies, we assessed attitudes toward and frequency of emoji use, and whether signaling affect via emoji use relates to more romantic and sexual opportunities. Our findings suggest that emoji use with potential partners is associated with maintaining connection beyond the first date, and more romantic and sexual interactions over the previous year. This research provides evidence that emojis convey important affective information to potential partners, and are potentially associated with more successful intimate connection. Implications for multiple theoretical models and methodologies are discussed.Entities:
Mesh:
Year: 2019 PMID: 31415640 PMCID: PMC6695182 DOI: 10.1371/journal.pone.0221297
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Zero order correlations and descriptive statistics.
| Zero-order correlations | |||||
|---|---|---|---|---|---|
| Variables | 1 | 2 | 3 | 4 | 5 |
| 1. Age | — | ||||
| 2. Gender | .12 | — | |||
| 3. Emoji use frequency | -.36 | .05 | — | ||
| 4. No. first dates | -.12 | -.07 | .19 | — | |
| 5. Frequency of sex | -.30 | -.17 | .28 | .34 | — |
| Descriptive statistics | |||||
| | 42.03 | 1.56 | 4.63 | 1.56 | 3.39 |
| | 16.79 | 0.50 | 1.42 | 3.07 | 2.57 |
M = mean, SD = standard deviation.
**p < .01.
Regression coefficients for the model predicting number of first dates and amount of sexual activity over the last year from frequency of emoji use, controlling for age and gender.
| Outcome variables | ||||||||
|---|---|---|---|---|---|---|---|---|
| Number of first dates in the last year | Frequency of sexual behavior in the last year | |||||||
| 95% CI | 95% CI | |||||||
| Age | -0.01 | [-0.017, -0.006] | -4.28 | -.06 | -0.03 | [-0.04, -0.03] | -12.75 | -.19 |
| Gender | 0.44 | [0.28, 0.61] | 5.29 | .07 | 0.84 | [0.70, 0.99] | 11.55 | .17 |
| Emoji use with dates | 0.52 | [0.43, 0.61] | 11.69 | .16 | 0.54 | [0.46, 0.62] | 13.50 | .20 |
Model 1: R = 0.05, R adjusted = 0.04, F(3, 5322) = 83.44, p < .001; Model 2: R = 0.15, R adjusted = 0.15, F(3, 4416) = 250.49, p < .001. b = unstandardized regression coefficient, t = t value, rp2 = partial eta squared.
***p < .001.
Zero-order correlations and descriptive statistics for all variables measured in Study 2.
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Age | — | ||||||||||||||
| 2. Gender | 0.03 | — | |||||||||||||
| 3. CMC | -0.15 | -0.18 | — | ||||||||||||
| 4. CMC | -0.10 | 0.01 | 0.41 | — | |||||||||||
| 5. Emoji | -0.10 | -0.25 | 0.32 | 0.23 | — | ||||||||||
| 6. # 1st dates | 0.04 | -0.06 | -0.07 | -0.002 | 0.02 | — | |||||||||
| 7. # 2nd dates | -0.01 | -0.04 | -.07 | -0.001 | 0.15 | — | |||||||||
| 8. Sex freq. | -0.00 | 0.10 | -0.12 | -0.07 | 0.13 | 0.37 | 0.36 | — | |||||||
| 9. # sex partners | -0.09 | 0.11 | -0.09 | 0.05 | 0.12 | 0.57 | 0.64 | 0.55 | — | ||||||
| 10. Emoji freq | -0.10 | -0.15 | 0.31 | 0.21 | 0.62 | 0.08 | 0.22 | 0.07 | 0.15 | — | |||||
| 11. Had 2nd date | 0.10 | 0.05 | -0.01 | -0.05 | 0.18 | 0.001 | 0.15 | 0.09 | 0.04 | 0.15 | — | ||||
| 12. Kissed | 0.11 | 0.09 | 0.04 | 0.02 | 0.24 | 0.02 | 0.15 | 0.27 | 0.15 | 0.19 | 0.49 | — | |||
| 13. Had sex | 0.09 | 0.13 | 0.003 | 0.05 | 0.16 | 0.02 | 0.17 | 0.30 | 0.22 | 0.20 | 0.34 | 0.60 | — | ||
| 14. Entered | 0.05 | -0.02 | 0.21 | 0.08 | 0.25 | -0.12 | 0.11 | 0.01 | 0.02 | 0.35 | 0.21 | 0.36 | 0.37 | — | |
| 15. Current | 0.03 | -0.07 | 0.21 | 0.05 | 0.40 | 0.08 | 0.33 | 0.25 | 0.10 | 0.45 | 0.35 | 0.50 | 0.41 | 0.53 | — |
| 30.86 | 0.50 | 4.82 | 56.69 | 5.11 | 4.41 | 2.81 | 3.83 | 2.48 | 4.71 | 0.83 | 0.73 | 0.55 | 0.33 | 4.04 | |
| 8.05 | 0.50 | 1.62 | 25.66 | 1.57 | 4.15 | 2.79 | 1.97 | 2.34 | 1.67 | 0.65 | 0.44 | 0.50 | 0.47 | 1.97 | |
aEmoji use frequency with potential dates overall
bEmoji use frequency with most recent date
**p < .01
*p < .05.
Regression coefficients for four models predicting romantic and sexual behavior over the past year by emoji use frequency with potential partners in Study 2.
| How often do you use emojis? | |||||
|---|---|---|---|---|---|
| Predictor variables | 95% CI | ||||
| Model 1: | |||||
| Age | 0.004 | [-0.06, 0.07] | 0.12 | 0.01 | |
| Gender | -0.77 | [-1.81, 0.27] | -1.46 | -0.09 | |
| CMC preference | -0.27 | [-0.63, 0.08] | -1.52 | -0.09 | |
| CMC frequency | 0.002 | [-0.02, 0.02] | 0.22 | 0.01 | |
| Emoji use frequency with potential | 0.14 | [-0.21, 0.49] | 0.77 | 0.05 | |
| Model 2: | |||||
| Age | 0.00 | [-0.04, 0.04] | -0.10 | -.001 | |
| Gender | -0.02 | [-0.72, 0.68] | -0.06 | -0.004 | |
| CMC preference | 0.04 | [-0.20, 0.28] | 0.34 | 0.02 | |
| CMC frequency | -0.003 | [-0.02, 0.01] | -0.46 | -0.03 | |
| Emoji use frequency with potential | 0.27 | [0.04, 0.51] | 2.27 | 0.14 | |
| Model 3: | |||||
| Age | 0.002 | [-0.03, 0.04] | 0.15 | 0.01 | |
| Gender | 0.37 | [-0.17, 0.92] | 1.35 | 0.09 | |
| CMC preference | -0.15 | [-0.33, 0.04] | -1.58 | -0.11 | |
| CMC frequency | -0.01 | [-0.02, 0.01] | -0.98 | -0.07 | |
| Emoji use frequency with potential | 0.28 | [0.10, 0.46] | 3.05 | 0.21 | |
| Model 4: | |||||
| Age | -0.02 | [-0.06, 0.02] | -1.17 | -0.08 | |
| Gender | 0.54 | [-0.12, 1.20] | 1.60 | 0.11 | |
| CMC preference | -0.20 | [-0.42, 0.02] | -1.77 | -0.12 | |
| CMC frequency | 0.01 | [-0.01, 0.02] | 1.12 | 0.08 | |
| Emoji use frequency with potential | 0.27 | [0.05, 0.48] | 2.43 | 0.17 | |
Model 1: R2 = 0.02, R2 adjusted = -0.001, F(5, 265) = 0.95, p = .45; Model 2: R2 = 0.03, R2 adjusted = 0.01, F(5, 264) = 1.37, p = .24; Model 3: R2 = 0.06, R2 adjusted = 0.04, F(5, 208) = 2.59, p < .05; Model 4: R2 = 0.06, R2 adjusted = 0.03, F(5, 205) = 2.47, p < .05. b = unstandardized regression coefficient, t = t value, rp = partial correlation
**p < .01
*p < .05.