ABSTRACT
The main purpose of assistive technology is to support an individual's daily activities, in order to increase ability, autonomy, relatedness and quality of life. The aim for the work presented in this article is to develop automated methods to tailor the behavior of the assistive technology for the purpose to provide just-in-time, adaptive interventions targeting multiple domains. This requires methods for representing and updating the user model, including goals, preferences, abilities, activity and its situation. We focus the assessment and intervention tasks typically performed by therapists and provide knowledge-based technology for supporting the process. A formative evaluation study was conducted as a part of a participatory action research process, involving two rehabilitation experts, two young individuals and one senior individual as end-user participants, in addition to knowledge engineers. The main contribution of this work is a theory-based method for assessing the individual's goals, preferences, abilities and motives, which is used for building a holistic user model. The user model is continuously updated and functions as the base for tailoring the system's assistive behavior during intervention and follow-up.
- G. Andrews, R. Poulton, and G. Skoog. Lifetime risk of depression: restricted to a minority or waiting for most? The British Journal of Psychology, 187:495--496, December 2005.Google ScholarCross Ref
- R. Annicchiarico, F. Campana, A. Federici, C. Barrué, U. Cortés, A. Villar, and C. Caltagirone. Using scenarios to draft the support of intelligent tools for frail elders in the share-it approach. In Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence, IWANN '09, pages 635--641, 2009. Google ScholarDigital Library
- J. Baskar and H. Lindgren. Towards Personalised Support for Monitoring and Improving Health in Risky Environments. In VIII Workshop on Agents Applied in Health Care (A2HC), pages 93--104, 2013.Google Scholar
- J. Baskar and H. Lindgren. Cognitive architecture of an agent for human-agent dialogues. In PAAMS (Workshops), volume 430 of Communications in Computer and Information Science, pages 89--100. Springer, 2014.Google ScholarCross Ref
- J. Baskar and H. Lindgren. Human-agent dialogues on health topics - an evaluation study. In J. Bajo, K. Hallenborg, P. Pawlewski, V. Botti, N. Sánchez-Pi, D. N. Duque Méndez, F. Lopes, and V. Julian, editors, Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection: International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings, volume 430 of Communications in Computer and Information Science, pages 28--39. Springer International Publishing, 2015.Google Scholar
- R. Cáceres and A. Friday. Ubicomp systems at 20: Progress, opportunities, and challenges. IEEE Pervasive Computing, 11(1):14--21, 2012. Google ScholarDigital Library
- F. Carmagnola, F. Cena, and C. Gena. User model interoperability: a survey. User Modeling and User-Adapted Interaction, 21(3):285--331, 2011. Google ScholarDigital Library
- C. I. Chesñevar, J. McGinnis, S. Modgil, I. Rahwan, C. Reed, G. R. Simari, M. South, G. Vreeswijk, and S. Willmott. Towards an argument interchange format. Knowledge Eng. Review, 21(4):293--316, 2006. Google ScholarDigital Library
- I. Gómez-Sebastià, D. Garcia-Gasulla, C. Barrué, J. Vázquez-Salceda, and U. Cortés. A flexible agent-oriented solution to model organisational and normative requirements in assistive technologies. In Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence, pages 79--88, 2010. Google ScholarDigital Library
- E. Guerrero, H. Lindgren, and J. C. Nieves. ALI, an Ambient Assisted Living System for Supporting Behavior Change. In VIII Workshop on Agents Applied in Health Care (A2HC 2013), pages 81--92, 2013.Google Scholar
- E. Guerrero, J. C. Nieves, and H. Lindgren. Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity. 2016. To appear.Google Scholar
- E. Guerrero, J. C. Nieves, and H. Lindgren. An Activity-Centric Argumentation Framework for Assistive Technology Aimed at Improving Health. Argument & Computation, 2016. To appear.Google ScholarCross Ref
- D. Isern, D. Sánchez, and A. Moreno. Agents applied in health care: A review. I. J. Medical Informatics, 79(3):145--166, 2010.Google ScholarCross Ref
- R. Kadouche, M. Mokhtari, S. Giroux, and B. Abdulrazak. Personalization in smart homes for disabled people. In Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 02, FGCN '08, pages 411--415, 2008. Google ScholarDigital Library
- V. Kaptelinin. Computer-mediated activity: Functional organs in social and developmental contexts. In B. Nardi, editor, Context and Consciousness. Activity Theory and Human Computer Interaction, pages 45--68. MIT Press, 1996. Google ScholarDigital Library
- C. M. Kennedy, J. Powell, T. H. Payne, J. Ainsworth, A. Boyd, and I. Buchan. Active assistance technology for health-related behavior change: An interdisciplinary review. Journal of Medical Internet Research, 14(3):e80, 2012.Google ScholarCross Ref
- G. Kielhofner. A model of human occupation. Lippincott, Williams & Wilkins, 2008.Google Scholar
- A. Kobsa. Generic user modeling systems. User Modeling and User-Adapted Interaction, 11(1--2):49--63, Mar. 2001. Google ScholarDigital Library
- T. Kuflik, J. Kay, and B. Kummerfeld. Challenges and solutions of ubiquitous user modeling. In Ubiquitous Display Environments, pages 7--30. Springer, 2012.Google ScholarCross Ref
- H. Lindgren, L. Lundin-Olsson, P. Pohl, and M. Sandlund. End users transforming experiences into formal information and process models for personalised health interventions. Studies In Health Technology And Informatics, 205:378--82, 2014.Google Scholar
- H. Lindgren and I. Nilsson. Towards user-authored agent dialogues for assessment in personalised ambient assisted living. International Journal of Web Engineering and Technology, 8(2):154--176, 2013. Google ScholarDigital Library
- H. Lindgren, D. Surie, and I. Nilsson. Agent-supported assessment for adaptive and personalized ambient assisted living. In J. M. Corchado, J. Pérez Bajo, K. Hallenborg, P. Golinska, and R. Corchuelo, editors, Trends in Practical Applications of Agents and Multiagent Systems, volume 90 of Advances in Intelligent and Soft Computing, pages 25--32. Springer Berlin Heidelberg, 2011.Google Scholar
- H. Lindgren and P. Winnberg. A model for interaction design of personalised knowledge systems in the health domain. In M. Szomszor and P. Kostkova, editors, eHealth, volume 69 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 235--242. Springer, 2010.Google Scholar
- H. Lindgren, P. J. Winnberg, and P. Winnberg. Domain experts tailoring interaction to users - an evaluation study. In P. Campos, T. C. N. Graham, J. A. Jorge, N. J. Nunes, P. A. Palanque, and M. Winckler, editors, INTERACT (3), volume 6948 of Lecture Notes in Computer Science, pages 644--661. Springer, 2011. Google ScholarDigital Library
- H. Lindgren and C. Yan. ACKTUS: A platform for developing personalized support systems in the health domain. In Proceedings of the 5th International Conference on Digital Health 2015, DH '15, pages 135--142, New York, NY, USA, 2015. ACM. Google ScholarDigital Library
- J. McKay and P. Marshall. The dual imperatives of action research. Information Technology and People, 14(1):46--59, 2001.Google ScholarCross Ref
- T. Ngandu and et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. The Lancet, 385(9984):2255--2263, 2013.Google ScholarCross Ref
- J. C. Nieves, D. Surie, and H. Lindgren. Modeling actions based on a situative space model for recognizing human activities. In A. Ramsay and G. Agre, editors, AIMSA, volume 7557 of Lecture Notes in Computer Science, pages 266--275. Springer, 2012. Google ScholarDigital Library
- H. Oinas-Kukkonen. Behavior change support systems: a research model and agenda. In Proceedings of the 5th international conference on Persuasive Technology, PERSUASIVE'10, 2010. Google ScholarDigital Library
- M. Prince, A. Wimo, M. Guerchet, G.-C. Ali, Y.-T. Wu, and M. Prina. The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends. World Alzheimer Report, 2015.Google Scholar
- Y. Rogers. Moving on from weiser's vision of calm computing: Engaging ubicomp experiences. In P. Dourish and A. Friday, editors, Ubicomp, volume 4206 of Lecture Notes in Computer Science, pages 404--421. Springer, 2006. Google ScholarDigital Library
- R. M. Ryan and E. L. Deci. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1):68--78, 2000.Google ScholarCross Ref
- A. Seyfang, S. Miksch, M. Marcos, J. Wittenberg, C. Polo-Conde, and K. Rosenbrand. Bridging the gap between informal and formal guideline representations. In Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy, pages 447--451, 2006. Google ScholarDigital Library
- D. Surie, H. Lindgren, and A. Qureshi. Kitchen as-a-pal: Exploring smart objects as containers, surfaces and actuators. In Ambient Intelligence-Software and Applications, pages 171--178. Springer, 2013.Google Scholar
- D. Sutton, P. Taylor, and K. Earle. Evaluation of proforma as a language for implementing medical guidelines in a practical context. BMC Medical Informatics and Decision Making, 6(1):20, 2006.Google ScholarCross Ref
- M. Tateno, T. Park, T. Kato, W. Umene-Nakano, and T. Saito. Hikikomori as a possible clinical term in psychiatry: a questionnaire survey. BMC Psychiatry, 12(1), 2012.Google Scholar
- The Swedish National Board of Health and Welfare. Young people's medication, 2012.Google Scholar
- The Swedish National Board of Health and Welfare. Young people's health, 2013.Google Scholar
Index Terms
- Computer-Supported Assessment for Tailoring Assistive Technology
Recommendations
Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing SystemsFamilies of children with Attention Deficit Hyperactivity Disorder (ADHD) often report morning and bedtime routines to be stressful and frustrating. Through a design process involving domain professionals and families we designed MOBERO, a smartphone-...
A Follow-up Study of a Successful Assistive Technology for Children with ADHD and Their Families
IDC '16: Proceedings of the The 15th International Conference on Interaction Design and ChildrenLittle research on assistive technologies for families of children with attention deficit hyperactivity disorder (ADHD) has investigated the long-term impact, after the assistive technology is returned to the researchers. In this paper, we report the ...
Designing Real Time Assistive Technologies: A Study of Children with ADHD
OzCHI '15: Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human InteractionChildren with mental disorders like Attention Deficit Hyperactivity Disorder (ADHD) often experience challenges in school as they struggle to maintain their attention. Based on empirical studies conducted in school contexts and together with teachers ...
Comments