• Deconstructing the cultural dimensions of psychological well-being: How does culture shape psychological well-being?

    Subjects: Psychology >> Social Psychology submitted time 2024-04-24

    Abstract: “Well-being” is a core research topic in the field of positive psychology, which is also a focal point of great interest in contemporary society. While a general consensus exists on the conceptions of Well-being, cultural norms and values significantly shape individuals’ perceptions and pursuits of well-being. For example, in collectivist cultures, Well-being is closely linked with community relationships and social harmony; while in individualistic cultures, well-being is more frequently associated with personal achievement and autonomy. Understanding these subtle differences between cultures is vital for developing effective strategies to enhance well-being. Future research should consider cultural factors thoroughly and conduct more detailed cross-cultural studies on well-being, aiming to design culturally effective interventions that respect and integrate different cultural perspectives on promoting well-being.

  • 语言经验对概率词切分的影响

    Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》

    Abstract: Ample statistical learning (SL) studies have shown that individuals can perform word segmentation by tracking the likelihood of syllable co-occurrences in continuous speech. The classic “exposure-test” paradigm was widely used in this field, in which participants were first exposed to an artificial language and then tested in a forced choice task to assess learning effects. Recently, research has shown that participants' linguistic background, including their phonological and lexical experience, may result in experience-dependent SL. After a systematic review, we also discuss the direction for future SL studies. Specifically, we suggest that for studies involving Mandarin native speakers, researchers should carefully examine the separate and combined effects of various linguistic experience in order to better understand statistical word segmentation.

  • 转换概率和词长期待对语音统计学习的影响

    Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》

    Abstract: Statistical Learning (SL) has long been established as a powerful mechanism in language learning and development. Within this framework, transitional probability (TP) of various levels have been shown to confer differing task performance for adults. Recent studies have also highlighted the role of linguistic experience in the process of SL. However, it remains unclear whether different word lengths as well as varying levels of TPs may impact the segmentation of continuous speech. In the low TP condition, the superior outcome of disyllabic contrasts might stem from the Mandarin speakers' prior linguistic experience—their expectation that words should be of two syllables. For the trisyllabic contrasts, lower TPs may provide relatively weakened statistical regularities for tracking word boundaries, which may in turn lead to difficulty extracting words. Importantly, our findings show that when both factors present difficulties (e.g., trisyllabic contrasts in the low TP condition), such that the word length violates the listeners' expectation and the TPs do not provide high levels of consistency, word segmentation can no longer be supported. The current study showed for the first time that when combining TP and word length in the speech material, these two factors impact word segmentation in a complex manner. This study offers new insight for future SL designs as well as potentially informative directions in exploring how individual differences based on linguistic backgrounds may manifest itself in word segmentation tasks. Sixty native Mandarin monolinguals participated in a word segmentation task. An artificial language was designed with the same flat tone paired with 13 syllables, resulting in two disyllabic and three trisyllabic monotonic words. While only the segmental tier offered reliable information to segmentation, information from the suprasegmental level ensured that each word was phonologically legal in Mandarin. The words were then combined into two conditions of a monotonic artificial language: for the hTP language, all TPs within words were 1.0; whereas they were 0.6 in the lTP condition. Two types of nonwords (trisyllabic and disyllabic) were created for the test phase, then paired with target words of equal length in each trial. Adults were first exposed to the monotonic artificial language and then tested in a 2 alternative forced-choice task (2AFC) to decide whether a word or a nonword sounded more familiar. The mixed two-way ANOVA with word length (disyllables vs. trisyllables) as a within-subject factor and TP (high TP vs. low TP) as a between-subjects factor yielded nonsignificant effects for either word length or TP levels. There was also no significant interaction. A series of one-sample t-tests were conducted between the participants' average accuracy and chance level (.5). Participants preferred words over nonwords in most conditions except for trisyllabic contrasts in the low TP condition. Additional planned contrasts among the conditions revealed that when the TPs were low, participants performed significantly better in the disyllabic condition than in the trisyllabic condition; under the trisyllabic condition, high TP yielded better performance than low TP.

  • Transitional probabilities and expectation for word length impact verbal statistical learning

    Subjects: Psychology >> Cognitive Psychology submitted time 2020-12-17

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  • The influence of linguistic experience on statistical word segmentation

    Subjects: Psychology >> Cognitive Psychology submitted time 2020-10-27

    Abstract: Ample statistical learning (SL) studies have shown that individuals can perform word segmentation by tracking the likelihood of syllable co-occurrences in continuous speech. The classic “exposure-test” paradigm was widely used in this field, in which participants were first exposed to an artificial language and then tested in a forced choice task to assess learning effects. Recently, research has shown that participants’ linguistic background, including their phonological and lexical experience, may result in experience-dependent SL. After a systematic review, we also discuss the direction for future SL studies. Specifically, we suggest that for studies involving Mandarin native speakers, researchers should carefully examine the separate and combined effects of various linguistic experience in order to better understand statistical word segmentation.

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