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Sounds of Healthy Aging: Assessing Everyday Social and Cognitive Activity from Ecologically Sampled Ambient Audio Data

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Personality and Healthy Aging in Adulthood

Part of the book series: International Perspectives on Aging ((Int. Perspect. Aging,volume 26))

Abstract

As proposed by the healthy aging model of the World Health Organization (2015), participation in social and cognitive activities is important for healthy aging and for understanding individual differences in personality and health trajectories. This chapter introduces a naturalistic observation method for assessing social and cognitive activities in everyday life: Electronically Activated Recorder (EAR) – a portable audio recorder that periodically and unobtrusively records ambient sounds and speech in everyday life. Using this method, researchers have reliably and objectively measured social activities (e.g., conversing, engaging in small talk or substantive conversations) and cognitive activities (e.g., reminiscing, planning the future, grammatical complexity) in everyday life. We reviewed studies that examined interindividual and intraindividual differences in these activities. Furthermore, we discussed how this behavioural evidence could help to understand personality and health in old age. In sum, the EAR method offers useful real-life, personality-related data for the healthy aging literature.

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References

  • Alisic, E., Barrett, A., Bowles, P., Conroy, R., & Mehl, M. R. (2015). Topical review: Families coping with child trauma: A naturalistic observation methodology. Journal of Pediatric Psychology, 41, 117–127.

    Article  Google Scholar 

  • Allemand, M., & Hill, P. L. (2019). Future time perspective and gratitude in daily life: A micro-longitudinal study. European Journal of Personality, 33(3), 385–399.

    Article  Google Scholar 

  • Allemand, M., & Mehl, M. R. (2017). Personality assessment in daily life: A roadmap for future personality development research. In J. Specht (Ed.), Personality development across the lifespan (pp. 437–454). San Diego, CA: Elsevier.

    Chapter  Google Scholar 

  • Aschwanden, D., Luchetti, M., & Allemand, M. (2019). Are open and neurotic behaviors related to cognitive behaviors in daily life of older adults? Journal of Personality, 87, 472–484.

    Article  Google Scholar 

  • Asgari, M., Shafran, I., & Bayestehtashk, A. (2012). Robust detection of voiced segments in samples of everyday conversations using unsupervised hmms. In 2012 IEEE spoken language technology workshop (SLT) (pp. 438–442). Berkeley, CA: IEEE.

    Chapter  Google Scholar 

  • Ashton, M. C., Lee, K., & Paunonen, S. V. (2002). What is the central feature of extraversion? Social attention versus reward sensitivity. Journal of Personality and Social Psychology, 83, 245–252.

    Article  Google Scholar 

  • Baddeley, J. L., Pennebaker, J. W., & Beevers, C. G. (2013). Everyday social behavior during a major depressive episode. Social Psychological and Personality Science, 4, 445–452.

    Article  Google Scholar 

  • Berntsen, D. (2007). Involuntary autobiographical memories: Speculations, findings, and an attempt to integrate them. In J. H. Mace (Ed.), New perspectives in cognitive psychology. Involuntary memory (pp. 20–49). Malden, MA: Blackwell Publishing.

    Google Scholar 

  • Bielak, A. A. (2010). How can we not ‘lose it’ if we still don’t understand how to ‘use it’? Unanswered questions about the influence of activity participation on cognitive performance in older age–a mini-review. Gerontology, 56, 507–519.

    Article  Google Scholar 

  • Bielak, A. A. (2017). Different perspectives on measuring lifestyle engagement: A comparison of activity measures and their relation with cognitive performance in older adults. Aging, Neuropsychology, and Cognition, 24, 435–452.

    Article  Google Scholar 

  • Bielak, A. A., Mogle, J. A., & Sliwinski, M. J. (2019). Two sides of the same coin? Association of variety and frequency of activity with cognition. Psychology and Aging, 34, 457–466.

    Article  Google Scholar 

  • Bluck, S., Alea, N., & Demiray, B. (2010). You get what you need: The psychosocial functions of remembering. In J. H. Mace (Ed.), New perspectives in cognitive psychology. The act of remembering: Toward an understanding of how we recall the past (pp. 284–307). Hoboken, NJ: Wiley-Blackwell.

    Chapter  Google Scholar 

  • Bluck, S., & Levine, L. J. (1998). Reminiscence as autobiographical memory: A catalyst for reminiscence theory development. Ageing and Society, 18, 185–208.

    Article  Google Scholar 

  • Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.

    Article  Google Scholar 

  • Bollich, K. L., Doris, J. M., Vazire, S., Raison, C. L., Jackson, J. J., & Mehl, M. R. (2016). Eavesdropping on character: Assessing everyday moral behaviors. Journal of Research in Personality, 61, 15–21.

    Article  Google Scholar 

  • Bourassa, K. J., Tackman, A. M., Mehl, M. R., & Sbarra, D. A. (2019). Psychological overinvolvement, emotional distress, and daily affect following marital dissolution. Collabra: Psychology, 5(1), 8.

    Article  Google Scholar 

  • Brianza, E., & Demiray, B. (2019). Future time perspective and real-life utterances about the future in young and older adults. The Journal of Gerontopsychology and Geriatric Psychiatry.

    Google Scholar 

  • Brown, W. C., Tragesser, S. L., Tomko, R. L., Mehl, M. R., & Trull, T. J. (2014). Recall of expressed affect during naturalistically observed interpersonal events in those with borderline personality disorder or depressive disorder. Assessment, 21, 73–81.

    Article  Google Scholar 

  • Cacioppo, J. T., & Hawkley, L. C. (2009). Perceived social isolation and cognition. Trends in Cognitive Sciences, 13, 447–454.

    Article  Google Scholar 

  • Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54, 165–181.

    Article  Google Scholar 

  • Carstensen, L. L., & Lang, F. R. (1996). Future time perspective scale. Unpublished manuscript, Stanford University.

    Google Scholar 

  • Cate, R. A., & John, O. P. (2007). Testing models of the structure and development of future time perspective: Maintaining a focus on opportunities in middle age. Psychology and Aging, 22, 186–201.

    Article  Google Scholar 

  • Cheetham, M., Demiray, B., Martin, M., Battegay, E., & Londral, A. (under review). Semi-automatic human voice detection and segmentation: A method for use in behavioural speech analysis

    Google Scholar 

  • Conner, T. S., & Reid, K. A. (2012). Effects of intensive mobile happiness reporting in daily life. Social Psychological and Personality Science, 3, 315–323.

    Article  Google Scholar 

  • Conner, T. S., Tennen, H., Fleeson, W., & Feldman Barrett, L. (2009). Experience sampling methods: A modern idiographic approach to personality research. Social and Personality Psychology Compass, 3, 292–313.

    Article  Google Scholar 

  • Danvers, A. F., Wundrack, R., & Mehl, M. R. (2019). Equilibria in personality states. Manuscript under review.

    Google Scholar 

  • Demiray, B., & Bluck, S. (2014). Time since birth and time left to live: Opposing forces in constructing psychological wellbeing. Ageing and Society, 34, 1193–1218.

    Article  Google Scholar 

  • Demiray, B., Luo, M., & Martin, M. (in preparation). People laugh more while talking about their past than their future: Functions of conversational time travel in everyday life.

    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, Article 2160.

    Article  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, 745–755.

    Article  Google Scholar 

  • Dennis, N. A., & Cabeza, R. (2011). Neuroimaging of healthy cognitive aging. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (pp. 10–63). New York: Psychology Press.

    Google Scholar 

  • Dubey, H., Mehl, M. R., & Mankodiya, K. (2016). BigEAR: Inferring the ambient and emotional correlates from smartphone-based acoustic Big Data. IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Washington, DC, USA.

    Google Scholar 

  • Erikson, E. H. (1959). Identity and the life cycle: Selected papers. Psychological Issues, 1, 1–171.

    Google Scholar 

  • Felsman, P., Verduyn, P., Ayduk, O., & Kross, E. (2017). Being present: Focusing on the present predicts improvements in life satisfaction but not happiness. Emotion, 17, 1047–1051.

    Article  Google Scholar 

  • Feng, T., Nadarajan, A., Vaz, C., Booth, B., & Narayanan, S. (2018). TILES audio recorder: An unobtrusive wearable solution to track audio activity. In Proceedings of the fourth ACM workshop on wearable systems and applications (pp. 33–38). New York, NY: ACM.

    Chapter  Google Scholar 

  • Fratiglioni, L., Paillard-Borg, S., & Winblad, B. (2004). An active and socially integrated lifestyle in late life might protect against dementia. The Lancet Neurology, 3, 343–353.

    Article  Google Scholar 

  • Harari, G. M., Lane, N. D., Wang, R., Crosier, B. S., Campbell, A. T., & Gosling, S. D. (2016). Using smartphones to collect behavioral data in psychological science: Opportunities, practical considerations, and challenges. Perspectives on Psychological Science, 11, 838–854.

    Article  Google Scholar 

  • Harari, G. M., Müller, S. R., Aung, M. S., & Rentfrow, P. J. (2017). Smartphone sensing methods for studying behavior in everyday life. Current Opinion in Behavioral Sciences, 18, 83–90.

    Article  Google Scholar 

  • Harari, G. M., Müller, S. R., Stachl, C., Wang, R., Wang, W., Bühner, M.,… Gosling, S. D. (2019). Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life. Journal of Personality and Social Psychology.

    Google Scholar 

  • Harris, C. B., Rasmussen, A. S., & Berntsen, D. (2014). The functions of autobiographical memory: An integrative approach. Memory, 22, 559–581.

    Article  Google Scholar 

  • Heo, J., Lee, Y., McCormick, B. P., & Pedersen, P. M. (2010). Daily experience of serious leisure, flow and subjective well-being of older adults. Leisure Studies, 29, 207–225.

    Article  Google Scholar 

  • Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9, 1–65.

    Article  Google Scholar 

  • Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015). Loneliness.and social isolation as risk factors for mortality: A meta-analytic review. Perspectives on Psychological Science, 10, 227–237.

    Article  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, 708–713.

    Article  Google Scholar 

  • Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015). The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. Psychological Bulletin, 141, 901–930.

    Article  Google Scholar 

  • Kaplan, D. M., Rentscher, K. E., Lim, M., Keating, D., Romero, J., Shah, A., …, & Mehl, M. R. (2019). Best practices for electronically activated recorder (EAR) data coding and processing: A practical guide for researchers. Behavioral Research Methods. https://doi.org/10.31234/osf.io/mgzcy

  • Kemper, S., & Sumner, A. (2001). The structure of verbal abilities in young and older adults. Psychology and Aging, 16, 312–322.

    Article  Google Scholar 

  • Klein, W. (2013). Time in language. New York, NY: Routledge.

    Book  Google Scholar 

  • Kooij, D., Kanfer, R., Betts, M., & Rudolph, C. W. (2018). Future time perspective: A systematic review and meta-analysis. Journal of Applied Psychology, 103, 867–893.

    Article  Google Scholar 

  • Kuiper, J. S., Zuidersma, M., Voshaar, R. C. O., Zuidema, S. U., van den Heuvel, E. R., Stolk, R. P., & Smidt, N. (2015). Social relationships and risk of dementia: A systematic review and meta-analysis of longitudinal cohort studies. Ageing Research Reviews, 22, 39–57.

    Article  Google Scholar 

  • Lang, F. R., & Carstensen, L. L. (2002). Time counts: Future time perspective, goals, and social relationships. Psychology and Aging, 17, 125–139.

    Article  Google Scholar 

  • Levinson, S. C. (1992). Activity types and language. In P. Drew & J. Heritage (Eds.), Talk at work: Interaction in institutional settings (pp. 66–100). New York, NY: Cambridge University Press.

    Google Scholar 

  • Luo, M., Robbins, M., Martin, M., & Demiray, B. (2019a). Real-life language use across different interlocutors: A naturalistic observation study of adults varying in age. Frontiers in Psychology, 10, 1412.

    Article  Google Scholar 

  • Luo, M., Schneider, G., Martin, M., & Demiray, B. (2019b). Cognitive aging effects on language use in real-life contexts: a naturalistic observation study. Proceedings of the 41th Annual Meeting of the Cognitive Science Society.

    Google Scholar 

  • Manson, J. H., & Robbins, M. L. (2017). New evaluation of the electronically activated recorder (ear): Obtrusiveness, compliance, and participant self-selection effects. Frontiers in Psychology, 8, 658.

    Article  Google Scholar 

  • Mascaro, J. S., Rentscher, K. E., Hackett, P. D., Lori, A., Darcher, A., Rilling, J. K., & Mehl, M. R. (2018). Preliminary evidence that androgen signaling is correlated with men’s everyday language. American Journal of Human Biology, 30, e2316.

    Article  Google Scholar 

  • Mehl, M. R. (2017). The electronically activated recorder (EAR): A method for the naturalistic observation of daily social behavior. Current Directions in Psychological Science, 26, 184–190.

    Article  Google Scholar 

  • Mehl, M. R., & Conner, T. S. (2012). Handbook of research methods for studying daily life. New York: Guilford Press.

    Google Scholar 

  • Mehl, M. R., Gosling, S. D., & Pennebaker, J. W. (2006). Personality in its natural habitat: Manifestations and implicit folk theories of personality in daily life. Journal of Personality and Social Psychology,90, 862–877.

    Article  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, 517–523.

    Google Scholar 

  • Mehl, M. R., Raison, C. L., Pace, T. W. W., Arevalo, J. M. G., & Cole, S. W. (2017). Natural language indicators of differential gene regulation in the human immune system. PNAS, 114, 12554–12559.

    Article  Google Scholar 

  • Mehl, M. R., Vazire, S., Holleran, S. E., & Clark, C. S. (2010). Eaves-dropping on happiness: Well-being is related to having less small talk and more substantive conversations. Psychological Science, 21, 539–541.

    Article  Google Scholar 

  • Mehl, M. R., & Wrzus, C. (2019). Ecological sampling methods for studying personality in daily life. In O. P. John & R. W. Robins (Eds.), The handbook of personality (4th ed.). New York, NY: Guilford Press.

    Google Scholar 

  • Milek, A., Butler, E. A., Tackman, A. M., Kaplan, D. M., Raison, C. L., Sbarra, D. A., … Mehl, M. R. (2018). “Eavesdropping on happiness” revisited: A pooled, multisample replication of the association between life satisfaction and observed daily conversation quantity and quality. Psychological Science, 29, 1451–1462.

    Article  Google Scholar 

  • Minor, K. S., Davis, B. J., Marggraf, M. P., Luther, L., & Robbins, M. L. (2018). Words matter: Implementing the electronically activated recorder in schizotypy. Personality Disorders, Theory, Research, and Treatment, 9, 133–143.

    Article  Google Scholar 

  • Nadarajan, A., Somandepalli, K., & Narayanan, S. S. (2019). Speaker agnostic foreground speech detection from audio recordings in workplace settings from wearable recorders. In ICASSP 2019–2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6765–6769). Piscataway, NJ: IEEE.

    Chapter  Google Scholar 

  • O’Rourke, N., Cappeliez, P., & Claxton, A. (2011). Functions of reminiscence and the psychological well-being of young-old and older adults over time. Aging & Mental Health, 15, 272–281.

    Article  Google Scholar 

  • O’Rourke, N., King, D. B., & Cappeliez, P. (2017). Reminiscence functions over time: consistency of self-functions and variation of prosocial functions. Memory, 25, 403–411.

    Article  Google Scholar 

  • Paraschiv-Ionescu, A., Perruchoud, C., Buchser, E., & Aminian, K. (2012). Barcoding human physical activity to assess chronic pain conditions. PLoS One, 7, e32239.

    Article  Google Scholar 

  • Pasupathi, M., & Carstensen, L. L. (2003). Age and emotional experience during mutual reminiscing. Psychology and Aging, 18(3), 430.

    Google Scholar 

  • Pennebaker, J., & Francis, M. (1999). Linguistic inquiry and word count: LIWC, 1999.

    Google Scholar 

  • Pinquart, M., & Forstmeier, S. (2012). Effects of reminiscence interventions on psychosocial outcomes: A meta-analysis. Aging & Mental Health, 16(5), 541–558.

    Article  Google Scholar 

  • Ram, N., Conroy, D. E., Pincus, A. L., Lorek, A., Rebar, A., Roche, M. J., … Gerstorf, D. (2014). Examining the interplay of processes across multiple time-scales: Illustration with the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB). Research in Human Development, 11, 142–160.

    Article  Google Scholar 

  • Ramírez-Esparza, N., Garcia-Sierra, A., Rodriguez-Arauz, G., Ikizer, E. G., & Fernández-Gómez, M. J. (2019). No laughing matter: Latinas’ high quality of conversations relate to behavioral laughter. PLoS One, 14, e0214117.

    Article  Google Scholar 

  • Ramírez-Esparza, N., Mehl, M. R., Álvarez-Bermúdez, J., & Pennebaker, J. W. (2009). Are Mexicans more or less sociable than Americans? Insights from a naturalistic observation study. Journal of Research in Personality, 43, 1–7.

    Article  Google Scholar 

  • Robbins, M. L., & Karan, A. (2019). Who gossips and how in everyday life. Social Psychological and Personality Science. https://doi.org/10.1177/1948550619837000

    Article  Google Scholar 

  • Robbins, M. L., Karan, A., Lopez, A. M., & Weihs, K. (2018). Naturalistically observing non-cancer conversations among couples coping with breast cancer. Psycho-Oncology, 27, 2206–2213.

    Article  Google Scholar 

  • Robbins, M. L., López, A. M., Weihs, K. L., & Mehl, M. R. (2014). Cancer conversations in context: Naturalistic observation of couples coping with breast cancer. Journal of Family Psychology, 28, 380–390.

    Article  Google Scholar 

  • Robbins, M. L., Mehl, M. R., Holleran, S. E., & Kasle, S. (2011). Naturalistically observed sighing and depression in rheumatoid arthritis patients: A preliminary study. Health Psychology, 30, 129–133.

    Article  Google Scholar 

  • Röcke, C., Katana, M., Fillekes, M., Martin, M., & Weibel, R. (2018). Mobility, physical activity and social interactions in the daily lives of healthy older adults: The MOASIS Project. Innovation in Aging, 2(Suppl 1), 274.

    Article  Google Scholar 

  • Rohr, M. K., John, D. T., Fung, H. H., & Lang, F. R. (2017). A three-component model of future time perspective across adulthood. Psychology and Aging, 32, 597–607.

    Article  Google Scholar 

  • Ryan, L., Hay, M., Huentelman, M. J., Duarte, A., Rundek, T., Levin, B., … Barnes, C. (2019). Precision Aging: Applying precision medicine to the field of cognitive aging. Frontiers in Aging Neuroscience, 11, 128.

    Article  Google Scholar 

  • Salthouse, T. A. (2006). Mental exercise and mental aging: Evaluating the validity of the “use it or lose it” hypothesis. Perspectives on Psychological Science, 1, 68–87.

    Article  Google Scholar 

  • Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imagining, and the brain. Neuron, 76, 677–694.

    Article  Google Scholar 

  • Schmitt, M., Ringeval, F., & Schuller, B. W. (2016). At the border of acoustics and linguistics: Bag-of-audio-words for the recognition of emotions in speech. In Interspeech (pp. 495–499).

    Google Scholar 

  • Schnitzspahn, K. M., Ihle, A., Henry, J. D., Rendell, P. G., & Kliegel, M. (2011). The age-prospective memory-paradox: An exploration of possible mechanisms. International Psychogeriatrics, 23, 583–592.

    Article  Google Scholar 

  • Schwarz, N. (2012). Why researchers should think “real-time”: A cognitive rationale. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 22–42). New York, NY: The Guilford Press.

    Google Scholar 

  • Scollon, C. N., Prieto, C. K., & Diener, E. (2009). Experience sampling: Promises and pitfalls, strength and weaknesses. In E. D. Diener (Ed.), Assessing well-being (pp. 157–180). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Sherman, R. A., Rauthmann, J. F., Brown, N. A., Serfass, D. G., & Jones, A. B. (2015). The independent effects of personality and situations on real-time expressions of behavior and emotion. Journal of Personality and Social Psychology, 109, 872–888.

    Article  Google Scholar 

  • Song, X., & Wang, X. (2012). Mind wandering in Chinese daily lives–an experience sampling study. PLoS One, 7, e44423.

    Article  Google Scholar 

  • Stolarski, M., Fieulaine, N., & Van Beek, W. (2015). Time perspective theory; Review, research, and application. Cham, Switzerland: Springer.

    Book  Google Scholar 

  • Suddendorf, T., & Corballis, M. C. (2007). The evolution of foresight: What is mental time travel, and is it unique to humans? Behavioral and Brain Sciences, 30, 299–313.

    Article  Google Scholar 

  • Sun, J., Schwartz, H. A., Son, Y., Kern, M. L., & Vazire, S. (2019). The language of well-being: Tracking fluctuations in emotion experience through everyday speech. Journal of Personality and Social Psychology.

    Google Scholar 

  • Sun, J., & Vazire, S. (2019). Do people know what they’re like in the moment? Psychological Science, 30, 405–414.

    Article  Google Scholar 

  • Tackman, A. M., & Mehl, M. R. (2017). Electronically Activated Recorder (EAR). In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of personality and individual differences. Cham, Switzerland: Springer.

    Google Scholar 

  • Vazire, S. (2010). Who knows what about a person? The self–other knowledge asymmetry (SOKA) model. Journal of Personality and Social Psychology, 98, 281–300.

    Article  Google Scholar 

  • Wang, L. P., Hamaker, E., & Bergeman, C. S. (2012). Investigating inter-individual differences in short-term intra-individual variability. Psychological Methods, 17, 567–581.

    Article  Google Scholar 

  • Wank, A. A. L., Moseley, S., Polsinelli, A. J., Glisky, E. L., Mehl, M. R., & Grilli, M. D. (2019). Out of the lab, into the real-world: Preliminary evidence that measuring autobiographical memory retrieval in a naturalistic setting replicates laboratory-based findings. USA: Advance Online Publication.

    Google Scholar 

  • Webster, J. D., & Ma, X. (2013). A balanced time perspective in adulthood: Well-being and developmental effects. Canadian Journal on Aging/La Revue canadienne du vieillissement, 32, 433–442.

    Article  Google Scholar 

  • Webster, J. D., Bohlmeijer, E. T., & Westerhof, G. J. (2010). Mapping the future of reminiscence: A conceptual guide for research and practice. Research on Aging, 32(4), 527–564.

    Article  Google Scholar 

  • Weidman, A. C., Sun, J., Vazire, S., Quoidbach, J., Ungar, L. H., & Dunn, E. W. (2019). (Not) hearing happiness: Predicting fluctuations in happy mood from acoustic cues using machine learning. Emotion.

    Google Scholar 

  • Westerhof, G. J., Bohlmeijer, E., & Webster, J. D. (2010). Reminiscence and mental health: A review of recent progress in theory, research and interventions. Ageing and Society, 30, 697–721.

    Article  Google Scholar 

  • Wiggins, J. S. (1996). The five-factor model of personality: Theoretical perspectives. New York: Guilford Press.

    Google Scholar 

  • World Health Organization. (2015). World report on ageing and health. Geneva, Switzerland: WHO Press.

    Google Scholar 

  • Wrzus, C., & Mehl, M. R. (2015). Lab and/or field? Measuring personality processes and their social consequences. European Journal of Personality, 29, 250–271.

    Article  Google Scholar 

  • Wyatt, D., Choudhury, T., Bilmes, J., & Kitts, J. A. (2011). Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Transactions on Intelligent Systems and Technology (TIST), 2, 1–41.

    Article  Google Scholar 

  • Yordanova, K., Demiray, B., Mehl, M. R., & Martin, M. (2019). Automatic detection of everyday social behaviors and environments from verbatim transcripts of daily conversations. IEEE International Conference on Pervasive Computing and Communications (PerCom 2019).

    Google Scholar 

  • Zhang, J. W., & Howell, R. T. (2011). Do time perspectives predict unique variance in life satisfaction beyond personality traits? Personality and Individual Differences, 50, 1261–1266.

    Article  Google Scholar 

  • Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77, 1271–1288.

    Article  Google Scholar 

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Demiray, B., Luo, M., Tejeda-Padron, A., Mehl, M.R. (2020). Sounds of Healthy Aging: Assessing Everyday Social and Cognitive Activity from Ecologically Sampled Ambient Audio Data. In: Hill, P.L., Allemand, M. (eds) Personality and Healthy Aging in Adulthood. International Perspectives on Aging, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-32053-9_8

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