With a little help from familiar interlocutors: real-world language use in young and older adults

References

• Adams, C., Smith, M. C., Pasupathi, M., & Vitolo, L. (2002). Social context effects on story recall in older andyounger women: Does the listener make a difference?. The Journals Ofgerontology Series B: Psychological Sciences and Social Sciences, 57(1), 28–40.
   Web of Science ®Google Scholar
• Başkent, D., Clarke, J., Pals, C., Benard, M. R., Bhargava, P., Saija, J., ... & Gaudrain, E. (2016). Cognitive compensation of speech perception with hearing impairment, cochlear implants, and aging: How and to what degree can it be achieved?. Trends in Hearing, 20, 1–26.
   Web of Science ®Google Scholar
• Barnier, A. J., Harris, C. B., Morris, T., & Savage, G. (2018). Collaborative facilitation in older couples: Successful joint remembering across memory tasks. Frontiers in Psychology, 9, 2385. doi:https://doi.org/10.3389/fpsyg.2018.02385
   PubMed Web of Science ®Google Scholar
• Bašnáková, J., Weber, K., Petersson, K. M., van Berkum, J., & Hagoort, P. (2014). Beyond the language given: The neural correlates of inferring speaker meaning. Cerebral Cortex, 24(10), 2572–2578. doi:https://doi.org/10.1093/cercor/bht112
   PubMed Web of Science ®Google Scholar
• Brysbaert, M., Stevens, M., Mandera, P., & Keuleers, E. (2016). How many words do we know? Practical estimates of vocabulary size dependent on word definition, the degree of language input and the participant’s age. Frontiers in Psychology, 7, 1116. doi:https://doi.org/10.3389/fpsyg.2016.01116
   PubMed Web of Science ®Google Scholar
• Burke, D. M., & Shafto, M. A. (2008). Language and aging. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (3th ed., pp. 373–443). New York, NY: Psychology Press.
   Google Scholar
• Bürkner, P. C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1), 1–28. doi:https://doi.org/10.18637/jss.v080.i01.
   Web of Science ®Google Scholar
• Bürkner, P. C. (2018). Advanced Bayesian multilevel modeling with the R package brms. The R Journal, 10(1), 395–411. doi:https://doi.org/10.32614/RJ-2018-017.
   Google Scholar
• Capilouto, G. J., Wright, H. H., & Maddy, K. M. (2016). Microlinguistic processes that contribute to the ability to relay main events: influence of age. Aging. Neuropsychology, and Cognition, 23(4), 445
   PubMed Web of Science ®Google Scholar
• Clark, H. H. (1996). Using language. New York, NY: Cambridge University Press.
   Google Scholar
• Demiray, B., Luo, M., Tejeda-Padron, A., & Mehl, M. (2020). Sounds of healthy aging: Assessing everyday social and cognitive activity from ecologically sampled ambient audio data. In P. L. Hill & M. Allemand (Eds.), Personality and healthy aging in adulthood (pp. 111–132). New York, NY: Springer.
   Google Scholar
• Demiray, B., Mehl, M. R., & Martin, M. (2018). Conversational time travel: Evidence of a retrospective bias in real life conversations. Frontiers in Psychology, 9, 2160. doi:https://doi.org/10.3389/fpsyg.2018.02160
   PubMed Web of Science ®Google Scholar
• Demiray, B., Mischler, M., & Martin, M. (2017). Reminiscence in everyday conversations: A naturalistic observation study of older adults. The Journals of Gerontology: Series B, 74(5), 745–755. doi:https://doi.org/10.1093/geronb/gbx141
   Google Scholar
• Ferrario, A., Demiray, B., Yordanova, K., Luo, M., & Martin, M. (2020). Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning. Journal of Medical Internet Research, 22(9), e19133.doi:https://doi.org/10.2196/19133.
   PubMed Web of Science ®Google Scholar
• Ferré, P., Jarret, J., Brambati, S. M., Bellec, P., & Joanette, Y. (2020). Task-induced Functional Connectivity of Picture Naming in Healthy Aging: The Impacts of Age and Task Complexity. Neurobiology of Language, 1–24.
   Google Scholar
• Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. doi:https://doi.org/10.1016/0022-3956(75)90026-6
   PubMed Web of Science ®Google Scholar
• Fussell, S. R., & Krauss, R. M. (1989). Understanding friends and strangers: The effects of audience design on message comprehension. European Journal of Social Psychology, 19(6), 509–525. doi:https://doi.org/10.1002/ejsp.2420190603
   Web of Science ®Google Scholar
• Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis (3rd ed.). New York, NY: Chapman and Hall/CRC.
   Google Scholar
• Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New York, NY: Cambridge University Press.
   Google Scholar
• Griffin, Z. M., & Spieler, D. H. (2006). Observing the what and when of language production for different age groups by monitoring speakers’ eye movements. Brain and Language, 99(3), 272–288.
   PubMed Web of Science ®Google Scholar
• Hausser, J., & Strimmer, K. (2014). Estimation of entropy, mutual information and related quantities. R package version 1.2.1. Retrieved from https://cran.r-project.org/web/packages/entropy/entropy.pdf
   Google Scholar
• Hertzog, C., & Jopp, D. S. (2010). Resilience in the face of cognitive aging: Experience, adaptation, and compensation. In P. S. Fry & C. L. M. Keyes (Eds.), New frontiers in resilient aging: Life-strengths and well-being in late life (pp. 130–161). Cambridge: Cambridge University Press. doi:https://doi.org/https://doi.org/10.1017/CBO9780511763151.007.
   Google Scholar
• Hertzog,C (2008). Theoretical approaches to the study of cognitive aging — An individual-differences perspective. In S.M. Hofer & D.F. Alwin (Eds.), Handbook of cognitive aging interdisciplinaryperspectives London UK Sage Publications Inc
   Google Scholar
• Horton, W. S., & Spieler, D. H. (2007). Age-related differences in communication and audience design. Psychology and Aging, 22(2), 281–290. doi:https://doi.org/10.1037/0882-7974.22.2.281.
   PubMed Web of Science ®Google Scholar
• Horton, W. S., & Gerrig, R. J. (2016). Revisiting the memory‐based processing approach to common ground. Topics in Cognitive Science, 8(4), 780–795.
   PubMed Web of Science ®Google Scholar
• Horton, W. S., Spieler, D. H., & Shriberg, E. (2010). A corpus analysis of patterns of age-related change in conversational speech. Psychology and Aging, 25(3), 708–713. doi:https://doi.org/10.1037/a0019424
   PubMed Web of Science ®Google Scholar
• James, L. E., & Burke, D. M. (2000). Phonological priming effects on word retrieval and tip-of-the-tongue experiencesin young and older adults. Journal of Experimental Psychology: Learning. Memory, and Cognition, 26(6), 1378
   Web of Science ®Google Scholar
• Kavé, G., & Goral, M. (2017). Do age-related word retrieval difficulties appear (or disappear) in connected speech?. Aging. Neuropsychology, and Cognition, 24(5), 508–527.
   PubMed Web of Science ®Google Scholar
• Kempen, G. (2014). Prolegomena to a neurocomputational architecture for human grammatical encoding and decoding. Neuroinformatics, 12(1), 111–142. doi:https://doi.org/10.1007/s12021-013-9191-4
   PubMed Web of Science ®Google Scholar
• Kemper, S., Thompson, M., & Marquis, J. (2001). Longitudinal change in language production: effects of aging anddementia on grammatical complexity and propositional content. Psychology and Aging, 16(4), 600–614.
   PubMed Web of Science ®Google Scholar
• Kemper, S., Lyons, K., & Anagnopoulos, C. (1995). Joint storytelling by patients with Alzheimer's disease and their spouses. Discourse Processes, 20(2), 205–217. doi:https://doi.org/10.1080/01638539509544938
   Web of Science ®Google Scholar
• Kemper, S., & Sumner, A. (2001). The structure of verbal abilities in young and older adults. Psychology and Aging, 16(2), 312–322. doi:https://doi.org/10.1037/0882-7974.16.2.312
   PubMed Web of Science ®Google Scholar
• Kruschke, J. (2015). Doing Bayesian data analysis: A tutorial with R, JAGS and Stan (2nd ed.). Oxford: Academic Press.
   Google Scholar
• Levelt, W. J.(1989). Speaking: Fromintention to articulation. Cambridge, MA: MIT Press.
   Google Scholar
• Luo, M., Neysari, M., Schneider, G., Martin, M., & Demiray, B. (2020). Linear and non-linear age trajectories: A laboratory observation study of couples’ conflict conversations. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. doi:https://doi.org/10.1093/geronb/gbaa041. OSF: https://osf.io/3c2tw/.
   Google Scholar
• Luo, M., Robbins, M., Martin, M., & Demiray, B. (2019). Real-life language use across different interlocutors: A naturalistic observation study of adults varying in Age. Frontiers in Psychology, 10, 1412. doi:https://doi.org/10.3389/fpsyg.2019.01412. OSF: https://osf.io/p7adu.
   PubMed Web of Science ®Google Scholar
• Luo, M., Schneider, G., Martin, M., & Demiray, B. (2019). Cognitive aging effects on language use in real-life contexts: A naturalistic observation study. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 714–720). Montreal, QB: Cognitive Science Society. Retrieved from https://mindmodeling.org/cogsci2019/papers/0140/index.html
   Google Scholar
• McElreath, R. (2016). Statistical rethinking: A Bayesian course with examples in R and Stan. Boca Raton, FL: CRC Press.
   Google Scholar
• Mehl, M. R., & Pennebaker, J. W. (2003). The sounds of social life: a psychometric analysis of students' daily social environments and natural conversations. Journal of Personality and Social Psychology, 84(4), 857–870. doi:https://doi.org/10.1037/0022-3514.84.4.857.
   PubMed Web of Science ®Google Scholar
• Mehl, M. R., Pennebaker, J. W., Crow, D. M., Dabbs, J., & Price, J. H. (2001). The Electronically Activated Recorder (EAR): A device for sampling naturalistic daily activities and conversations. Behavior Research Methods, 33(4), 517–523.
   Web of Science ®Google Scholar
• Melvin, E. L. (2017). Listener perspective and the role of familiarity in language processing (Publication No. 10246477) (Doctoral dissertation). University of Louisiana at Lafayette, Ann Arbor, MI: ProQuest Dissertations Publishing.
   Google Scholar
• Michalke, M. (2018). March). “ Entschuldigen Sie, dass ich Ihnen einen komplizierten Artikel schreibe, für einen lesbaren habe ich keine Zeit” – Textanalyse mit den R-Paketen koRpus & tm.plugin.koRpus. Paper presented at the Tagung Experimentell Arbeitender Psychologen (TeaP), Marburg.
   Google Scholar
• Moradi, S., Lidestam, B., Hällgren, M., & Rönnberg, J. (2014). Gated auditory speech perception in elderly hearing aid users and elderly normal-hearing individuals: Effects of hearing impairment and cognitive capacity. Trends in Hearing, 18, 1–12.
   Web of Science ®Google Scholar
• Moscoso del Prado Martín, F. (2016). Vocabulary, grammar, sex, and aging. Cognitive Science, 41(4), 950–975. doi:https://doi.org/10.1111/cogs.12367
   PubMed Web of Science ®Google Scholar
• Münster, K., & Knoeferle, P. (2017). Situated language processing across the lifespan: A review. International Journal of English Linguistics, 7(1), 1–13. doi:https://doi.org/10.5539/ijel.v7n1p1
   Web of Science ®Google Scholar
• Nalborczyk, L., Batailler, C., Loevenbruck, H., Vilain, A., & Bürkner, P. C. (2019). An introduction to Bayesian multilevel models using brms: A case study of gender effects on vowel variability in standard Indonesian. Journal of Speech, Language, and Hearing Research, 62(5), 1225–1242. doi:https://doi.org/10.1044/2018_JSLHR-S-18-0006
   PubMed Web of Science ®Google Scholar
• Park, D. C., & Gutchess, A. H. (2000/2012). Cognitive aging and everyday life. In D. C. Park & N. Schwarz (Eds.), Cognitive aging: A primer (pp. 217–232). New York: Psychology Press.
   Google Scholar
• Pickering, M. J., & Garrod, S. (2013). An integrated theory of language production and comprehension. The Behavioral and Brain Sciences, 36(4), 329–347. doi:https://doi.org/10.1017/S0140525X12001495
   PubMed Web of Science ®Google Scholar
• Polsinelli, A. J., Moseley, S. A., Grilli, M. D., Glisky, E. L., & Mehl, M. R. (2020). Natural, Everyday Language Use Provides a Window intothe Integrity of Older Adults’ Executive Functioning. The Journals of Gerontology [Series B].doi:https://doi.org/10.1093/geronb/gbaa055.
   Google Scholar
• R Core Team. (2019). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
   Google Scholar
• Rauers, A., Riediger, M., Schmiedek, F., & Lindenberger, U. (2011). With a little help from my spouse: Does spousal collaboration compensate for the effects of cognitive aging? Gerontology, 57(2), 161–166. doi:https://doi.org/10.1159/000317335
   PubMed Web of Science ®Google Scholar
• Salthouse, T. (2012). Consequences of age-related cognitive declines. Annual Review of Psychology, 63, 201–226. doi:https://doi.org/10.1146/annurev-psych-120710-100328
   PubMed Web of Science ®Google Scholar
• Schmid, H. (1994). Probabilistic part-of-speech tagging using decision trees. In Proceedings of International Conference on New Methods in Language Processing, Manchester, UK.
   Google Scholar
• Sennrich, R., Schneider, G., Volk, M., & Warin, M. (2009). A new hybrid dependency parser for German. From Form to Meaning: Processing Texts Automatically. Proceedings of the Biennial GSCL Conference 2009 (pp. 115–124).
   Google Scholar
• Shafto, M. A., & Tyler, L. K. (2014). Language in the aging brain: The network dynamics of cognitive decline and preservation. Science, 346(6209), 583–587. doi:https://doi.org/10.1126/science.1254404
   PubMed Web of Science ®Google Scholar
• Verhaeghen, P., Martin, M., & Sędek, G. (2012). Reconnecting cognition in the lab and cognition in real life: The role of compensatory social and motivational factors in explaining how cognition ages in the wild. Aging, Neuropsychology, and Cognition, 19(1–2), 1–12. doi:https://doi.org/10.1080/13825585.2011.645009
   PubMed Web of Science ®Google Scholar
• Wingfield, A., & Lash, A. (2016). Audition and language comprehension in adult aging: Stability in the face of change. In K. W. Schaie & S. L. Willis (Eds.), Handbook of the psychology of aging (pp. 165–185). New York, NY: Academic Press.
   Google Scholar
• Wingfield, A., & Stine-Morrow, E. A. L. (2000). Language and speech. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (2nd ed., pp. 359–416). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Yoon, S. O., & Brown-Schmidt, S. (2018). Aim low: Mechanisms of audience design in multiparty conversation. Discourse Processes, 55(7), 566–592.
   Web of Science ®Google Scholar
• Yoon, S. O., & Stine-Morrow, E. A. (2019). Evidence of preserved audience design with aging in interactive conversation. Psychology and Aging, 34(4), 613–623. doi:https://doi.org/10.1037/pag0000341.
   PubMed Web of Science ®Google Scholar