| Literature DB >> 35051226 |
Tiziana Jäggi1, Sayaka Sato1, Christelle Gillioz2, Pascal Mark Gygax1.
Abstract
Psycholinguistic approaches that study the effects of language on mental representations have ignored a potential role of the grammaticalization of the future (i.e., how the future manifests linguistically). We argue that the grammaticalization of the future may be an important aspect, as thinking about the future is omnipresent in our everyday life. The aim of this study was to experimentally manipulate the degree of future time references (i.e., present and future verb tense and temporal adverbials) to address their impact on the perceived location of future events. Across four experiments, two in French and two in German, no effect was found, irrespective of our verb and adverbial manipulations, and contrary to our hypotheses. Bayes factors confirmed that our null effects were not due to a lack of power. We present one of the first empirical accounts investigating the role of the grammaticalization of the future on effects of mental representations. We discuss possible reasons for these null results and illustrate further avenues for future research.Entities:
Mesh:
Year: 2022 PMID: 35051226 PMCID: PMC8775301 DOI: 10.1371/journal.pone.0262778
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Example of critical sentences in three different conditions.
| Condition | Sentence in French [English translation] |
|---|---|
| PP | |
| PF | |
| FF |
Note. Adverbials are marked using italics; tense is highlighted in bold.
Summary of the final model: Time condition and Adverb position as fixed effects, Participants and Item as random intercept effect.
| Model / Fixed effects | Estimate (β) | df | t-value | p(>|t|) |
|---|---|---|---|---|
| value ~ Time condition + Adverb position + (1|item number) + (1|participants) | ||||
| Intercept (PF) | 66.40 | 123.00 | 47.43 | < 0.001 |
| Time condition (PP) | -63.90 | 3194.37 | -111.42 | < 0.001 |
| Time condition (FF) | -0.27 | 3194.37 | -0.46 | 0.64 |
| Adverb position (end of sentence) | 0.54 | 899.40 | 0.75 | 0.45 |
Fig 1Mean value per Time condition with confidence intervals (95%).
Fig 2Mean value per adverbial and Time condition.
The numerical adverbials (indicated by the numbers six to eleven) show a distinct pattern reminiscent of the SNARC effect [68]. The pattern for other adverbials is less distinct.
Results of the mixed effects model of the French-speaking participants for Experiment 2.
| Model / Fixed effects | Estimate (β) | df | t-value | p(>|t|) |
|---|---|---|---|---|
| value ~ Time condition + Adverb position + (1|item number) + (1|participants) | ||||
| Intercept (PF) | 56.16 | 86.40 | 28.14 | < 0.001 |
| Time condition (PP) | -54.84 | 3007.51 | -92.72 | < 0.001 |
| Time condition (FF) | 0.29 | 3007.51 | 0.50 | 0.62 |
| Adverb position (end of sentence) | 0.37 | 46.00 | 0.16 | 0.87 |
Fig 3Mean value per Time condition and confidence intervals (95%).
Results of the mixed effects model for the German-speaking participants of Experiment 3.
| Model / Fixed effects | Estimate (β) | df | t-value | p(>|t|) |
|---|---|---|---|---|
| value ~ Time condition + Adverb position + (1|item number) + (1|participants) | ||||
| Intercept (PF) | 59.74 | 111.93 | 31.61 | < 0.001 |
| Time condition (PP) | -57.41 | 2961.88 | -89.52 | < 0.001 |
| Time condition (FF) | -0.86 | 2961.88 | -1.34 | 0.179 |
| Adverb position (end of sentence) | 0.24 | 46.00 | 0.15 | 0.88 |
Fig 4Mean value per Time condition and confidence intervals (95%).
Results of the fixed effect for mixed effects model with German-speaking participants for Experiment 4.
| Model / Fixed effects | Estimate (β) | df | t-value | p(>|t|) |
|---|---|---|---|---|
| value ~ Time condition + Adverb position + (1|item number) + (1|participants) | ||||
| Intercept (PF) | 53.55 | 96.40 | 16.81 | < 0.001 |
| Time condition (FF) | 0.53 | 2491.42 | 0.99 | 0.32 |
| Adverb position (end of sentence) | 1.40 | 46.00 | 0.42 | 0.68 |
Fig 5Mean value per Time condition and confidence intervals (95%).