Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2948963.2948970acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiwoarConference Proceedingsconference-collections
research-article

Towards a situation model for assessing challenging behaviour of people with dementia

Published: 23 June 2016 Publication History

Abstract

With the increase of elderly population, the percentage of people suffering from dementia also increases. Typically, patients with dementia are cared for at home by family members. The task of caregiving is associated with significant psychological and physical stress that affects both the caregiver and the person with dementia. One solution to improving the task of caregiving is to provide an assistive system that is able to automatically recognise when challenging behaviour is exhibited and to provide suggestions for appropriate intervention strategies. To achieve that however, the system needs a situation model that provides the context information needed to recognise the type of behaviour and to reason about its causes. To address this problem, this paper performs a systematic analysis of the elements needed for building a situation model for assessing the behaviour of people with Alzheimer's disease (AD). The analysis consists of literature review, interviews with experts, and brainstorming sessions. As a result, the work proposes a concept of a situation model for assessing the challenging behaviour of people with dementia based on sensor observations.

References

[1]
Algase, D. L., Beck, C., Kolanowski, A., Whall, A., Berent, S., Richards, K., and Beattie, E. (1996). Need-driven dementia-compromised behavior: An alternative view of disruptive behavior. The American Journal of Alzheimer Disease and Other Dementias, 11(6):10--19.
[2]
Auer, S., Monteiro, I., and Reisberg, B. (1996). The empirical behavioral pathology in alzheimer's disease (e-behave-ad) rating scale. International Psychogeriatrics, 8(2):247--66.
[3]
Cohen-Mansfield, J. (1986). Agitated behaviors in the elderly. ii. preliminary results in the cognitively deteriorated. Journal of the American Geriatric Society, 34(10):722--7.
[4]
Cohen-Mansfield, J., Marx, M., and Rosenthal, A. (1989). A description of agitation in a nursing home. Journal of Gerontology, 44(3):M77--84.
[5]
Cummings, J., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D., and Gornbein, J. (1994). The neuropsychiatric inventory: comprehensive assessment of psychopathology in dementia. Neurology, 44(12):2308--2314.
[6]
Dunkin, J. J. and Anderson-Hanley, C. (1998). Dementia caregiver burden: A review of the literature and guidelines for assessment and intervention. Neurology, 51(1):S53--S60.
[7]
Emerson, E. and Einfeld, S. L. (1995). Challenging Behaviour. Cambridge University Press, third edition.
[8]
Halek, M. (2010). Entwicklung und Testung eines strukturierten Assessmentbogens zur Erfassung der Auslser fr herausforderndes Verhalten von Menschen mit Demenz in der stationren Altenhilfe. PhD thesis, German Center for Neurodegenerative Diseases, Witten, Germany.
[9]
Hoey, J., Poupart, P., Bertoldi, A. v., Craig, T., Boutilier, C., and Mihailidis, A. (2010). Automated handwashing assistance for persons with dementia using video and a partially observable markov decision process. Comput. Vis. Image Underst., 114(5):503--519.
[10]
Kales, H. C., Gitlin, L. N., and Lyketsos, C. G. (2015). Assessment and management of behavioral and psychological symptoms of dementia. BMJ, 350.
[11]
Kirste, T. (2001). A reference model for situation-aware assistance. In Workshop Mensch-Computer-Interaktion in allgegenwrtigen Informationssystemen, Mensch und Computer 2001, Bad Honnef.
[12]
Kirste, T., Hoffmeyer, A., Koldrack, P., Bauer, A., Schubert, S., Schrder, S., and Teipel, S. (2014). Detecting the effect of alzheimer's disease on everyday motion behavior. Journal of Alzheimer's Disease, 38(1):121--132.
[13]
Kitwood, T. and Bredin, K. (1992). Towards a theory of dementia care: Personhood and well-being. Ageing & Society, 12(3):269--287.
[14]
Krüger, F., Yordanova, K., Burghardt, C., and Kirste, T. (2012). Towards creating assistive software by employing human behavior models. Journal of Ambient Intelligence and Smart Environments, 4(3):209--226.
[15]
Lawton, M. and Brody, E. (1969). Assessment of older people: Self maintaining and instrumental activities of daily living. The Gerontologist, 9(3 part 1):179--186.
[16]
Müller-Spahn, F. (2003). Behavioral disturbances in dementia. Dialogues in Clinical Neuroscience, 5(1):49--59.
[17]
Nagels, G., Engelborghs, S., Vloeberghs, E., Dam, D. V., Pickut, B. A., and Deyn, P. P. D. (2006). Actigraphic measurement of agitated behaviour in dementia. International Journal of Geriatric Psychiatry, 21(4):388--93.
[18]
Pan, W.-D., Yoshida, S., Liu, Q., Wu, C.-L., Wang, J., Zhu, J., and Cai, D.-F. (2013). Quantitative evaluation of severity of behavioral and psychological symptoms of dementia in patients with vascular dementia. Translational Neurodegeneration, 2(1):1--7.
[19]
Reisberg, B., Borenstein, J., Salob, S., Ferris, S., Franssen, E., and A., G. (1987). Behavioral symptoms in alzheimer's disease: phenomenology and treatment. Journal of Clinical Psychiatry, 48(5):suppl:9--15.
[20]
Rosen, J., Burgio, L., Kollar, M., Cain, M., Allison, M., Fogleman, M., Michael, M., and Zubenko, G. S. (1994). The pittsburgh agitation scale: A userfriendly instrument for rating agitation in dementia patients. The American Journal of Geriatric Psychiatry, 2(1):52--59.
[21]
Simperl, E., Paslaru, B., and Tempich, C. (2006). Ontology engineering: A reality check. In Meersman, R. and Tari, Z., editors, On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE, volume 4275 of Lecture Notes in Computer Science, pages 836--854. Springer Berlin Heidelberg.
[22]
Tariot, P., Mack, J., Patterson, M., Edland, S., Weiner, M., Fillenbaum, G., Blazina, L., Teri, L., Rubin, E., and Mortimer, J. (1995). The behavior rating scale for dementia of the consortium to establish a registry for alzheimer's disease. the behavioral pathology committee of the consortium to establish a registry for alzheimer's disease. The American Journal of Psychiatry, 152(9):1349--57.
[23]
Teipel, S., Babiloni, C., Hoey, J., Kaye, J., Kirste, T., and Burmeister, O. K. (2016). Information and communication technology solutions for outdoor navigation in dementia. Alzheimer's & Dementia.
[24]
Valembois, L., Oasi, C., Pariel, S., Jarzebowski, W., Lafuente-Lafuente, C., and Belmin, J. (2015). Wrist actigraphy: A simple way to record motor activity in elderly patients with dementia and apathy or aberrant motor behavior. The journal of nutrition, health & aging, 19(7):759--764.
[25]
van Kasteren, T. L. M. and Kröse, B. J. A. (2009). A sensing and annotation system for recording datasets in multiple homes. In Proceedings of the 27 Annual Conference on Human Factors and Computing Systems, pages 4763--4766, Boston, USA.
[26]
Vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A., et al. (2009). Reconstructing the giant: On the importance of rigour in documenting the literature search process. In Proceedings of the European Conference on Information Systems (ECIS), volume 9, pages 2206--2217, Verona, Italy.
[27]
Yakhiaa, M., Kniga, A., van der Flier, W. M., Friedman, L., Roberta, P. H., and David, R. (2014). Actigraphic motor activity in mild cognitive impairment patients carrying out short functional activity tasks: comparison between mild cognitive impairment with and without depressive symptoms. Journal of Alzheimer's Disease, 40(4):869--75.
[28]
Ye, J., Dobson, S., and McKeever, S. (2012). Review: Situation identification techniques in pervasive computing: A review. Pervasive Mobile Computing, 8(1):36--66.
[29]
Yefimova, M. and Woods, D. L. (2012). Using sensor technology to monitor disruptive behavior of persons with dementia. In Artificial Intelligence for Gerontechnology., pages 51--54. Paper presented at the AAAI Fall Symposium.
[30]
Yordanova, K. and Kirste, T. (2015). A process for systematic development of symbolic models for activity recognition. ACM Transactions on Interactive Intelligent Systems, 5(4):20:1--20:35.
[31]
Yordanova, K., Koldrack, P., Heine, C., Henkel, R., Martin, M., Teipel, S., and Kirste, T. (2016). Towards a situation model for situation-aware assistance of dementia patients in outdoor mobility. Journal of Biomedical Informatics. submitted.

Cited By

View all
  • (2021)BehavE: Behaviour Understanding Through Automated Generation of Situation ModelsKI 2021: Advances in Artificial Intelligence10.1007/978-3-030-87626-5_27(362-369)Online publication date: 30-Sep-2021
  • (2018)Discovery of Causal Relations in the Challenging Behaviour of People with Dementia2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2018.8480263(492-495)Online publication date: Mar-2018
  • (2017)Co-Creating Emotionally Aligned Smart Homes Using Social Psychological ModelingProceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction10.1145/3134230.3134242(1-6)Online publication date: 21-Sep-2017
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
iWOAR '16: Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction
June 2016
63 pages
ISBN:9781450342452
DOI:10.1145/2948963
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. assistive systems
  2. dementia
  3. knowledge elicitation
  4. ontology
  5. situation model

Qualifiers

  • Research-article

Funding Sources

Conference

iWOAR '16

Acceptance Rates

iWOAR '16 Paper Acceptance Rate 9 of 15 submissions, 60%;
Overall Acceptance Rate 46 of 73 submissions, 63%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)13
  • Downloads (Last 6 weeks)0
Reflects downloads up to 28 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2021)BehavE: Behaviour Understanding Through Automated Generation of Situation ModelsKI 2021: Advances in Artificial Intelligence10.1007/978-3-030-87626-5_27(362-369)Online publication date: 30-Sep-2021
  • (2018)Discovery of Causal Relations in the Challenging Behaviour of People with Dementia2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2018.8480263(492-495)Online publication date: Mar-2018
  • (2017)Co-Creating Emotionally Aligned Smart Homes Using Social Psychological ModelingProceedings of the 4th International Workshop on Sensor-based Activity Recognition and Interaction10.1145/3134230.3134242(1-6)Online publication date: 21-Sep-2017
  • (2017)On the applicability of clinical observation tools for human activity annotation2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2017.7917545(129-134)Online publication date: Mar-2017

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media