@inproceedings{wang-etal-2021-predicting,
title = "Predicting elders{'} cognitive flexibility from their language use",
author = "Wang, Man-Ying and
Ko, Yu-An and
Huang, Chin-Lan and
Chen, Jyun-Hong and
Ting, Te-Tien",
editor = "Lee, Lung-Hao and
Chang, Chia-Hui and
Chen, Kuan-Yu",
booktitle = "Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)",
month = oct,
year = "2021",
address = "Taoyuan, Taiwan",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
url = "https://aclanthology.org/2021.rocling-1.18",
pages = "132--137",
abstract = "This study recruited 51 elders aged 53-74 to discuss their daily activities in focus groups. The transcribed discourse was analyzed using the Chinese version of LIWC (Lin et al., 2020; Pennebaker et al., 2015) for cognitive complexity and dynamic language as well as content words related to elders{'} daily activities. The interruption behavior during the conversation was also coded and analyzed. After controlling for education, gender and age, the results showed that cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for predicting elders{'} cognitive flexibility through their daily language use.",
}
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<abstract>This study recruited 51 elders aged 53-74 to discuss their daily activities in focus groups. The transcribed discourse was analyzed using the Chinese version of LIWC (Lin et al., 2020; Pennebaker et al., 2015) for cognitive complexity and dynamic language as well as content words related to elders’ daily activities. The interruption behavior during the conversation was also coded and analyzed. After controlling for education, gender and age, the results showed that cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for predicting elders’ cognitive flexibility through their daily language use.</abstract>
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%0 Conference Proceedings
%T Predicting elders’ cognitive flexibility from their language use
%A Wang, Man-Ying
%A Ko, Yu-An
%A Huang, Chin-Lan
%A Chen, Jyun-Hong
%A Ting, Te-Tien
%Y Lee, Lung-Hao
%Y Chang, Chia-Hui
%Y Chen, Kuan-Yu
%S Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
%D 2021
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taoyuan, Taiwan
%F wang-etal-2021-predicting
%X This study recruited 51 elders aged 53-74 to discuss their daily activities in focus groups. The transcribed discourse was analyzed using the Chinese version of LIWC (Lin et al., 2020; Pennebaker et al., 2015) for cognitive complexity and dynamic language as well as content words related to elders’ daily activities. The interruption behavior during the conversation was also coded and analyzed. After controlling for education, gender and age, the results showed that cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for predicting elders’ cognitive flexibility through their daily language use.
%U https://aclanthology.org/2021.rocling-1.18
%P 132-137
Markdown (Informal)
[Predicting elders’ cognitive flexibility from their language use](https://aclanthology.org/2021.rocling-1.18) (Wang et al., ROCLING 2021)
ACL
- Man-Ying Wang, Yu-An Ko, Chin-Lan Huang, Jyun-Hong Chen, and Te-Tien Ting. 2021. Predicting elders’ cognitive flexibility from their language use. In Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), pages 132–137, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).