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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 18

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems

Supporting personalized care of older adults with vision and cognitive impairments by user modeling

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DOI: http://dx.doi.org/10.15439/2019F154

Citation: Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 18, pages 891900 ()

Full text

Abstract. We present a user modeling approach tailored to the user group of older adults with vision impairments. Our previous work with this user group has been followed by qualitative user research with the staff of a residential care facility for visually impaired older adults. We defined the structure of a user model that represents aspects related to personal psychological development and attributes that affect interaction with technologies. Furthermore, we present two generations of prototypes of administration UI for the user model. Results of the qualitative evaluation are discussed in the paper. This effort aims to help the personnel of specialized care institution in providing personalized care and make the interaction with technologies accessible for the group of visually impaired older adults with vision impairments.

References

  1. R. R. Bourne, S. R. Flaxman, T. Braithwaite, M. V. Cicinelli, A. Das, J. B. Jonas, J. Keeffe, J. H. Kempen, J. Leasher, H. Limburg et al., “Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis,” The Lancet Global Health, vol. 5, no. 9, pp. e888–e897, 2017. http://dx.doi.org/10.1016/S2214-109X(17)30293-0. [Online]. Available: https://doi.org/10.1016/S2214-109X(17)30293-0
  2. World Health Organization, World report on ageing and health. World Health Organization, 2015.
  3. Český statistický úřad. (2014) Výběrové šetření zdravotně postižených osob - 2013. [Online]. Available: https://www.czso.cz/csu/czso/vyberove-setreni-zdravotne-postizenych-osob-2013-qacmwuvwsb
  4. M. Macik, I. Maly, J. Balata, and Z. Mikovec, “How can ict help the visually impaired older adults in residential care institutions: The everyday needs survey,” in 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2017. http://dx.doi.org/10.1109/CogInfoCom.2017.8268234 pp. 000 157–000 164. [Online]. Available: http://dx.doi.org/10.1109/CogInfoCom.2017.8268234
  5. E. Böhm and P. Sochová, Psychobiografický model péče podle Böhma. Mladá fronta, 2015.
  6. E. Procházková, Práce s biografií a plány péče. Mladá fronta, 2014.
  7. World Health Organization, International statistical classification of diseases and related health problems. World Health Organization, 2004, vol. 1.
  8. World Health Organization and others, International classification of functioning, disability and health: ICF. Geneva: World Health Organization, 2001.
  9. J. O. Wobbrock, K. Z. Gajos, S. K. Kane, and G. C. Vanderheiden, “Ability-based design,” Communications of the ACM, vol. 61, no. 6, pp. 62–71, 2018. http://dx.doi.org/10.1145/3148051. [Online]. Available: http://dx.doi.org/10.1145/3148051
  10. M. Peißner, D. Janssen, and T. Sellner, “Myui individualization patterns for accessible and adaptive user interfaces,” in The First International Conference on Smart Systems, Devices and Technologies, 2012, pp. 25–20.
  11. D. Heckmann, T. Schwartz, B. Brandherm, M. Schmitz, and M. von Wilamowitz-Moellendorff, “Gumo–the general user model ontology,” in International Conference on User Modeling. Springer, 2005, pp. 428–432.
  12. D. Heckmann, T. Schwartz, B. Brandherm, and A. Kröner, “Decentralized user modeling with userml and gumo,” in Decentralized, Agent Based and Social Approaches to User Modeling, Workshop DASUM-05 at 9th International Conference on User Modelling, UM2005, 2005, pp. 61–66.
  13. P. Kikiras, V. Tsetsos, V. Papataxiarhis, T. Katsikas, and S. Hadjiefthymiades, “User modeling for pedestrian navigation services,” in Advances in ubiquitous user modelling. Springer, 2009, pp. 111–133.
  14. J. Hoey, C. Boutilier, P. Poupart, P. Olivier, A. Monk, and A. Mihailidis, “People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare,” ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 2, no. 4, p. 20, 2012. http://dx.doi.org/10.1145/2395123.2395125. [Online]. Available: http://dx.doi.org/10.1145/2395123.2395125
  15. L. Yao, B. Benatallah, X. Wang, N. K. Tran, and Q. Lu, “Context as a service: realizing internet of things-aware processes for the independent living of the elderly,” in International Conference on Service-Oriented Computing. Springer, 2016. http://dx.doi.org/10.1007/978-3-319-46295-0_54 pp. 763–779.
  16. B. Endrstova, M. Macik, and L. Treml, “Reprobooktor: A concept of audiobook player for visually impaired older adults,” in 2018 9th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2018. http://dx.doi.org/10.1109/CogInfoCom.2018.8639950 pp. 000 063–000 068. [Online]. Available: https://doi.org/10.1109/CogInfoCom.2018.8639950
  17. World Health Organization, “International classification of diseases, 11th revision,” Dec 2018, https://icd.who.int/browse11/l-m/en#/http://id.who.int/icd/entity/1103667651.
  18. Balsamiq. Balsamiq wireframes. [Online]. Available: https://balsamiq.com/wireframes
  19. AxureSoftware. Prototypes, specifications, and diagrams in one tool. [Online]. Available: https://www.axure.com
  20. K. Caine, “Local standards for sample size at chi,” in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016. http://dx.doi.org/10.1145/2858036.2858498 pp. 981–992. [Online]. Available: http://dx.doi.org/10.1145/2858036.2858498
  21. P. Bacchetti, S. G. Deeks, and J. M. McCune, “Breaking free of sample size dogma to perform innovative translational research,” Science translational medicine, vol. 3, no. 87, pp. 87ps24–87ps24, 2011. http://dx.doi.org/10.1126/scitranslmed.3001628. [Online]. Available: http://dx.doi.org/10.1126/scitranslmed.3001628
  22. J. Selin and M. Rossi, “The functional design method for buildings (fdm) with gamification of information models and ai help to design safer buildings,” in 2018 Federated Conference on Computer Science and Information Systems (FedCSIS). IEEE, 2018. http://dx.doi.org/10.15439/2018F162 pp. 907–911. [Online]. Available: http://dx.doi.org/10.15439/2018F162