InMyDay: A Digital Diary to Promote Self-care Among Elders

  • Marcelo Fernández
  • Iyubanit Rodríguez
  • Pedro O. Rossel
  • Carolina Fuentes
  • Valeria HerskovicEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10586)


Diaries allow users to record personal events and experiences, and are frequently used to collect participant data in user studies. Digital diaries have several benefits over traditional paper-based diaries, reducing respondents’ burden, administrative costs, and improving navigation. However, for elderly users, there are several challenges in the use of a digital diary: they may have cognitive and motor impairments, and fewer digital skills than other populations. We implemented a digital diary called InMyDay, specifically designed for elderly users. The goal of this diary is to promote self-care and self-reflection, by allowing users to register their activities and emotions. Ten elderly users tested the diary for five days, recording entries related to their days and how they felt. All of the participants used the diary every day and after the experiment, nine declared that they would use such an application at least once a week. We found that the diary promoted reflection, that users felt that this allowed them a moment of self-care during their day, and that they felt this was especially important for them as elderly people. Future work will focus on increasing the number of participants and emotions that may be reported and exploring new mechanisms of interaction.



The artwork was provided by artist Marcela Donoso ( This project was supported partially by CONICYT-PCHA/Doctorado Nacional/2014-63140077, CONICIT and MICIT Costa Rica PhD scholarship grant, Universidad de Costa Rica and CONICYT/FONDECYT No1150365 (Chile).


  1. 1.
    World Health Organization: The worlds population is rapidly ageing (2017)Google Scholar
  2. 2.
    Coughlin, J.F., Pope, J.E., Ben, R., Leedle, J.: Old age, new technology, and future innovations in disease management and home health care. Home Health Care Manag. Pract. 18(3), 196–207 (2006)CrossRefGoogle Scholar
  3. 3.
    World Health Organization: Self-care in the context of primary health care. Technical report, Report of the Regional Consultation (2009)Google Scholar
  4. 4.
    Mills, J., Chapman, M.: Compassion and self-compassion in medicine: self-care for the caregiver. Aust. Med. J. 9(8), 87–91 (2016)Google Scholar
  5. 5.
    La, T.T., Valera, A.C., Tan, H.P., Koh, C.: Online detection of behavioral change using unobtrusive eldercare monitoring system. In: Proceedings of the 11th International Conference on Queueing Theory and Network Applications, QTNA 2016, pp. 16:1–16:8. ACM (2016)Google Scholar
  6. 6.
    Caldeira, C., Bietz, M., Vidauri, M., Chen, Y.: Senior care for aging in place: balancing assistance and independence. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017, pp. 1605–1617. ACM (2017)Google Scholar
  7. 7.
    Davidson, J.L., Jensen, C.: What health topics older adults want to track: a participatory design study. In: Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 26:1–26:8. ACM (2013)Google Scholar
  8. 8.
    Li, Q., Luximon, Y.: Older adults and digital technology: a study of user perception and usage behavior. In: Goonetilleke, R., Karwowski, W. (eds.) Advances in Physical Ergonomics and Human Factors. AISC, vol. 489, pp. 155–163. Springer, Cham (2016). doi: 10.1007/978-3-319-41694-6_16 CrossRefGoogle Scholar
  9. 9.
    Ståhl, A., Höök, K., Svensson, M., Taylor, A.S., Combetto, M.: Experiencing the affective diary. Pers. Ubiquit. Comput. 13(5), 365–378 (2009)CrossRefGoogle Scholar
  10. 10.
    Dickinson, A., Arnott, J.L., Prior, S.: Methods for human-computer interaction research with older people. Behav. Inf. Technol. 26(4), 343–352 (2007)CrossRefGoogle Scholar
  11. 11.
    Chatzitheochari, S., Fisher, K., Gilbert, E., Calderwood, L., Huskinson, T., Cleary, A., Gershuny, J.: Using new technologies for time diary data collection: instrument design and data quality findings from a mixed-mode pilot survey. Soc. Indic. Res. (2017). doi: 10.1007/s11205-017-1569-5
  12. 12.
    Bolger, N., Davis, A., Rafaeli, E.: Diary methods: capturing life as it is lived. Annu. Rev. Psychol. 54, 579–616 (2003)CrossRefGoogle Scholar
  13. 13.
    Koopman-Boyden, P., Richardson, M.: An evaluation of mixed methods (diaries and focus groups) when working with older people. Int. J. Soc. Res. Methodol. 16(5), 389–401 (2013)CrossRefGoogle Scholar
  14. 14.
    Vrotsou, K., Bergqvist, M., Cooper, M., Ellegård, K.: PODD: a portable diary data collection system. In: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces (AVI 2014), pp. 381–382. ACM (2014)Google Scholar
  15. 15.
    Lind, L., Karlsson, D., Fridlund, B.: Patients’ use of digital pens for pain assessment in advanced palliative home healthcare. Int. J. Med. Inform. 77(2), 129–136 (2008)CrossRefGoogle Scholar
  16. 16.
    Morris, M.E., Kathawala, Q., Leen, T.K., Gorenstein, E.E., Guilak, F., Labhard, M., Deleeuw, W.: Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. J. Med. Internet Res. 12(2), e10 (2010)CrossRefGoogle Scholar
  17. 17.
    Iglesias, R., de Segura, N.G., Iturburu, M.: The elderly interacting with a digital agenda through an RFID pen and a touch screen. In: Proceedings of the 1st ACM SIGMM International Workshop on Media Studies and Implementations that Help Improving Access to Disabled Users (MSIADU 2009), pp. 63–70. ACM (2009)Google Scholar
  18. 18.
    Courbet, L., Bauchet, J., Rialle, V.: Evaluation of a digital diary for old people living in a retirement. Gerontechnology 15, 76s (2016)Google Scholar
  19. 19.
    García-Peñalvo, F.J., Conde, M.Á., Matellán-Olivera, V.: Mobile apps for older users – the development of a mobile apps repository for older people. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2014. LNCS, vol. 8524, pp. 117–126. Springer, Cham (2014). doi: 10.1007/978-3-319-07485-6_12 Google Scholar
  20. 20.
    Hakobyan, L., Lumsden, J., Shaw, R., O’Sullivan, D.: A longitudinal evaluation of the acceptability and impact of a diet diary app. for older adults with age-related macular degeneration. In: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016, pp. 124–134. ACM (2016)Google Scholar
  21. 21.
    Williamson, J.R., McGee-Lennon, M., Freeman, E., Brewster, S.: Designing a smartpen reminder system for older adults. In: Proceedings of the CHI 2013 Extended Abstracts on Human Factors in Computing Systems, pp. 73–78. ACM (2013)Google Scholar
  22. 22.
    Brewer, R.N., Cartwright, M., Karp, A., Pardo, B., Piper, A.M.: An approach to audio-only editing for visually impaired seniors. In: Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. ASSETS 2016, pp. 307–308. ACM (2016)Google Scholar
  23. 23.
    Brewer, R., Piper, A.M.: “Tell It Like It Really Is”: a case of online content creation and sharing among older adult bloggers. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5529–5542. ACM (2016)Google Scholar
  24. 24.
    Nielsen, J.: Finding usability problems through heuristic evaluation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1992, pp. 373–380. ACM (1992)Google Scholar
  25. 25.
    Silva, P.A., Holden, K., Jordan, P.: Towards a list of heuristics to evaluate smartphone apps targeted at older adults: a study with apps that aim at promoting healthand well-being. In: Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS 2015), pp. 3237–3246. IEEE (2015)Google Scholar
  26. 26.
    Brooke, J.: SUS-a quick and dirty usability scale. Usabil. Eval. Ind. 189(194), 4–7 (1996)Google Scholar
  27. 27.
    Tullis, T., Albert, W.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Morgan Kaufmann Publishers Inc., San Francisco (2008)Google Scholar
  28. 28.
    Ferrari, A.: Digital competence in practice: an analysis of frameworks. Technical report, Research Centre of the European Commission (2012)Google Scholar
  29. 29.
    Goldberg, D., Bridges, K., Duncan-Jones, P., Grayson, D.: Detecting anxiety and depression in general medical settings. Br. Med. J. 297(6653), 897–899 (1988)CrossRefGoogle Scholar
  30. 30.
    Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3(2), 77–101 (2006)CrossRefGoogle Scholar
  31. 31.
    Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)CrossRefGoogle Scholar
  32. 32.
    Christensen, H., Jorm, A.F., Mackinnon, A.J., Korten, A.E., Jacomb, P.A., Henderson, A.S., Rodgers, B.: Age differences in depression and anxiety symptoms: a structural equation modelling analysis of data from a general population sample. Psychol. Med. 29, 325–39 (1999)CrossRefGoogle Scholar
  33. 33.
    Jian, C., Shi, H., Schafmeister, F., Rachuy, C., Sasse, N., Schmidt, H., Hoemberg, V., von Steinbüchel, N.: Touch and speech: multimodal interaction for elderly persons. In: Gabriel, J., Schier, J., Van Huffel, S., Conchon, E., Correia, C., Fred, A., Gamboa, H. (eds.) BIOSTEC 2012. CCIS, vol. 357, pp. 385–400. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-38256-7_26 CrossRefGoogle Scholar
  34. 34.
    Nunes, F., Silva, P.A., Cevada, J., Barros, A.C., Teixeira, L.: User interface design guidelines for smartphone applications for people with Parkinson’s disease. Univ. Access Inf. Soc. 15(4), 659–679 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversidad Católica de la Santísima ConcepciónConcepciónChile
  2. 2.Department of Computer SciencePontificia Universidad Católica de ChileSantiagoChile
  3. 3.School of Computer ScienceUniversity of NottinghamNottinghamUK

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