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Probability expression for changeable and changeless uncertainties: an implicit test.

Wang Y, Du XL, Rao LL, Li S - Front Psychol (2014)

Bottom Line: We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination.These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities.Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences Beijing, China ; University of Chinese Academy of Sciences Beijing, China.

ABSTRACT
"Everything changes and nothing remains still."We designed three implicit studies to understand how people react or adapt to a rapidly changing world by testing whether verbal probability is better in expressing changeable uncertainty while numerical probability is better in expressing unchangeable uncertainty. We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination. Furthermore, the "numerical-changeless" combination was more compatible than the "verbal-changeless" combination. Thus, a novel feature called "changeability" was proposed to describe the changeable nature of verbal probability. However, numerical probability is a better carrier of changeless uncertainty than verbal probability. These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities. Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty.

No MeSH data available.


Beauty score as a function of probability expression for person and computer. Error bars denote standard errors.
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Figure 1: Beauty score as a function of probability expression for person and computer. Error bars denote standard errors.

Mentions: For each animacy–probability pairing condition, the four ratings corresponding to the four different font types were combined into a single variable that represented overall beauty. An ANOVA was conducted on the newly generated variable with probability expression and animacy as within-subjects factors. The analysis revealed main effects for probability expression [F(1, 104) = 5.640, p = 0.019, η2 = 0.051] and animacy [F(1, 104) = 4.486, p = 0.037, η2 = 0.041]. Post-hoc analysis showed that participants rated the font types in the verbal probability sentences as more beautiful than the numerical probability sentences and that participants rated the font types in the chess player sentences as more beautiful than the computer sentences (Figure 1). However, we did not find an interaction between probability expression and animacy. Our results showed that the font type beauty score for verbal probability expression was higher than numerical probability expression for both the chess player and computer sentences. Thus, we did not find that the beauty score in the CN (computer–numerical) condition was higher than that in the CV (computer–verbal) condition.


Probability expression for changeable and changeless uncertainties: an implicit test.

Wang Y, Du XL, Rao LL, Li S - Front Psychol (2014)

Beauty score as a function of probability expression for person and computer. Error bars denote standard errors.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4230050&req=5

Figure 1: Beauty score as a function of probability expression for person and computer. Error bars denote standard errors.
Mentions: For each animacy–probability pairing condition, the four ratings corresponding to the four different font types were combined into a single variable that represented overall beauty. An ANOVA was conducted on the newly generated variable with probability expression and animacy as within-subjects factors. The analysis revealed main effects for probability expression [F(1, 104) = 5.640, p = 0.019, η2 = 0.051] and animacy [F(1, 104) = 4.486, p = 0.037, η2 = 0.041]. Post-hoc analysis showed that participants rated the font types in the verbal probability sentences as more beautiful than the numerical probability sentences and that participants rated the font types in the chess player sentences as more beautiful than the computer sentences (Figure 1). However, we did not find an interaction between probability expression and animacy. Our results showed that the font type beauty score for verbal probability expression was higher than numerical probability expression for both the chess player and computer sentences. Thus, we did not find that the beauty score in the CN (computer–numerical) condition was higher than that in the CV (computer–verbal) condition.

Bottom Line: We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination.These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities.Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences Beijing, China ; University of Chinese Academy of Sciences Beijing, China.

ABSTRACT
"Everything changes and nothing remains still."We designed three implicit studies to understand how people react or adapt to a rapidly changing world by testing whether verbal probability is better in expressing changeable uncertainty while numerical probability is better in expressing unchangeable uncertainty. We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination. Furthermore, the "numerical-changeless" combination was more compatible than the "verbal-changeless" combination. Thus, a novel feature called "changeability" was proposed to describe the changeable nature of verbal probability. However, numerical probability is a better carrier of changeless uncertainty than verbal probability. These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities. Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty.

No MeSH data available.