Predicting elders' cognitive flexibility from their language use

Man Ying Wang; Yu An Ko; Chin Lan Huang; Jyun Hong Chen; Te Tien Ting

Predicting elders' cognitive flexibility from their language use

Man Ying Wang, Yu An Ko, Chin Lan Huang, Jyun Hong Chen, Te Tien Ting

Department of Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Increasing research efforts are directed towards the relationship between cognitive decline and language use. However, few of them had focused specifically on how language use is related to cognitive flexibility. 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 conversation was also analyzed. The results showed that, after controlling for education, gender and age, cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for the prediction of elders' cognitive flexibility through their daily language use.

Original language	English
Title of host publication	ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing
Editors	Lung-Hao Lee, Chia-Hui Chang, Kuan-Yu Chen
Publisher	The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages	132-137
Number of pages	6
ISBN (Electronic)	9789869576949
Publication status	Published - 2021
Event	33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021 - Taoyuan, Taiwan Duration: 2021 Oct 15 → 2021 Oct 16

Publication series

Name	ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing

Conference

Conference	33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021
Country/Territory	Taiwan
City	Taoyuan
Period	21-10-15 → 21-10-16

All Science Journal Classification (ASJC) codes

Language and Linguistics
Linguistics and Language
Speech and Hearing

Cite this

Wang, M. Y., Ko, Y. A., Huang, C. L., Chen, J. H., & Ting, T. T. (2021). Predicting elders' cognitive flexibility from their language use. In L-H. Lee, C-H. Chang, & K-Y. Chen (Eds.), ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (pp. 132-137). (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).

Wang, Man Ying ; Ko, Yu An ; Huang, Chin Lan et al. / Predicting elders' cognitive flexibility from their language use. ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. editor / Lung-Hao Lee ; Chia-Hui Chang ; Kuan-Yu Chen. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2021. pp. 132-137 (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

@inproceedings{a3cc01bf0ce144e58df60ce13e119133,

title = "Predicting elders' cognitive flexibility from their language use",

abstract = "Increasing research efforts are directed towards the relationship between cognitive decline and language use. However, few of them had focused specifically on how language use is related to cognitive flexibility. 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 conversation was also analyzed. The results showed that, after controlling for education, gender and age, cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for the prediction of elders' cognitive flexibility through their daily language use.",

author = "Wang, {Man Ying} and Ko, {Yu An} and Huang, {Chin Lan} and Chen, {Jyun Hong} and Ting, {Te Tien}",

note = "Publisher Copyright: {\textcopyright} 2021 ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. All rights reserved.; 33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021 ; Conference date: 15-10-2021 Through 16-10-2021",

year = "2021",

language = "English",

series = "ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing",

publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",

pages = "132--137",

editor = "Lung-Hao Lee and Chia-Hui Chang and Kuan-Yu Chen",

booktitle = "ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing",

}

Wang, MY, Ko, YA, Huang, CL, Chen, JH & Ting, TT 2021, Predicting elders' cognitive flexibility from their language use. in L-H Lee, C-H Chang & K-Y Chen (eds), ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing, The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), pp. 132-137, 33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021, Taoyuan, Taiwan, 21-10-15.

Predicting elders' cognitive flexibility from their language use. / Wang, Man Ying; Ko, Yu An; Huang, Chin Lan et al.

ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. ed. / Lung-Hao Lee; Chia-Hui Chang; Kuan-Yu Chen. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2021. p. 132-137 (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Predicting elders' cognitive flexibility from their language use

AU - Wang, Man Ying

AU - Ko, Yu An

AU - Huang, Chin Lan

AU - Chen, Jyun Hong

AU - Ting, Te Tien

PY - 2021

Y1 - 2021

N2 - Increasing research efforts are directed towards the relationship between cognitive decline and language use. However, few of them had focused specifically on how language use is related to cognitive flexibility. 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 conversation was also analyzed. The results showed that, after controlling for education, gender and age, cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for the prediction of elders' cognitive flexibility through their daily language use.

AB - Increasing research efforts are directed towards the relationship between cognitive decline and language use. However, few of them had focused specifically on how language use is related to cognitive flexibility. 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 conversation was also analyzed. The results showed that, after controlling for education, gender and age, cognitive flexibility performance was accompanied by the increasing adoption of dynamic language, insight words and family words. These findings serve as the basis for the prediction of elders' cognitive flexibility through their daily language use.

UR - http://www.scopus.com/inward/record.url?scp=85127371201&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85127371201&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85127371201

T3 - ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing

SP - 132

EP - 137

BT - ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing

A2 - Lee, Lung-Hao

A2 - Chang, Chia-Hui

A2 - Chen, Kuan-Yu

PB - The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)

T2 - 33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021

Y2 - 15 October 2021 through 16 October 2021

ER -

Wang MY, Ko YA, Huang CL, Chen JH, Ting TT. Predicting elders' cognitive flexibility from their language use. In Lee L-H, Chang C-H, Chen K-Y, editors, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP). 2021. p. 132-137. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

Predicting elders' cognitive flexibility from their language use

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this