Abstract
Embedded assessment leverages the capabilities of pervasive computing to advance early detection of health conditions. In this approach, technologies embedded in the home setting are used to establish personalized baselines against which later indices of health status can be compared. Our ethnographic and concept feedback studies suggest that adoption of such health technologies among end users will be increased if monitoring is woven into preventive and compensatory health applications, such that the integrated system provides value beyond assessment. We review health technology advances in the three areas of monitoring, compensation, and prevention. We then define embedded assessment in terms of these three components. The validation of pervasive computing systems for early detection involves unique challenges due to conflicts between the exploratory nature of these systems and the validation criteria of medical research audiences. We discuss an approach for demonstrating value that incorporates ethnographic observation and new ubiquitous computing tools for behavioral observation in naturalistic settings such as the home.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Morris, M., Lundell, J., Dishman, E., Needham, B.: New perspectives on ubiquitous computing from ethnographic study of elders with cognitive decline. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 227–242. Springer, Heidelberg (2003)
Lundell, J., Morris, M.: Tales, tours, tools, and troupes: A tiered research method to inform ubiquitous designs for the elderly. In: Fincher, et al. (eds.) People and Computers XVIII - Design for Life, pp. 165–177. Springer, London (2004)
Gorin, A.A., Stone, A.A.: Recall biases and cognitive errors in retrospective self reports: A call for momentary assessments. In: Baum, A., Revenson, T., Singer, J. (eds.) Handbook of Health Psychology, pp. 405–413. Erlbaum, Mahwah (2001)
Kennepohl, S., et al.: African American acculturation and neuropsychological test performance following traumatic brain injury. Journal of the International Neuropsychological Society 10, 566–577 (2004)
Hirsch, T., et al.: The ELDer Project: social, emotional, and environmental factors in the design of eldercare technologies. In: Proceedings of the Conference on Universal Usability (2000)
Bingham, S.: The dietary assessment of individuals: methods, accuracy, new te chniques and recommendations. Nutr. Abstr. Rev. 57, 705–742 (1987)
Mynatt, E.D., Essa, I., Rogers, W.: Increasing the opportunities for aging in place. In: Proceedings of the Conference on Universal Usability, pp. 65–71 (2000)
Munguia Tapia, E., Intille, S.S., Larson, K.: Activity recognition in the home setting using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) Proceedings of PERVASIVE 2004, pp. 158–175. Springer, Heidelberg (2004)
Philipose, M., et al.: Guide: Towards understanding daily life via auto-identification and statistical analysis. In: Ubihealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications (2003)
Wilson, D., Atkeson, C.: Automatic health monitoring using anonymous, binary sensors. In: CHI Workshop on Keeping Elders Connected (2004)
Matsouoka, K.: Smart house understanding human behaviors: Who did what, where, and when. In: Proceedings of the 8th World Multi-Conference on Systems, Cybernetics, and Informatics, vol. 3, pp. 181–185 (2004)
Haigh, K.Z., et al.: The Independent LifeStyle AssistantTM (I.L.S.A.): Lessons Learned. Honeywell Laboratories, Minneapolis (2003)
Korhonen, I., Paavilainen, P., Särelä, A.: Application of ubiquitous computing technologies for support of independent living of the elderly in real life settings. In: UbiHealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications (2003)
Mihailidis, A., et al.: An intelligent environment to support aging-in-place, safety, and independence of older adults with dementia. In: UbiHealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications (2003)
Barger, T., Brown, D., Alwan, M.: Health status monitoring through analysis of behavioral patterns. In: Proceedings of the 8th Congress of the Italian Association for Artificial Intelligence (AI*IA) on Ambient Intelligence. Springer, Heidelberg (2003)
Dockstader, S.L., Berg, M.J., Tekalp, A.M.: Stochastic kinematic modeling and feature extraction for gait analysis. IEEE Transactions on Image Processing 12(8), 962–976 (2003)
Patterson, D.J., et al.: Inferring high-level behavior from low-level sensors. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 73–89. Springer, Heidelberg (2003)
Jimison, H.B., et al.: Home monitoring of computer interactions for the early detection of cognitive decline. In: Proceedings of the IEEE Engineering in Medicine and Biology Conference (2004)
Mynatt, B.D., Rogers, W.A.: Developing technology to support the functional independence of older adults. Aging International 27(1), 24–41 (2002)
Pollack, M.E., et al.: Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robotics and Autonomous Systems 44(3-4), 273–282 (2003)
Floerkemeier, C., Siegemund, F.: Improving the effectiveness of medical treatment with pervasive computing technologies. In: UbiHealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications (2003)
Morris, M., Lundell, J., Dishman, E.: Ubiquitous computing for Mild Cognitive Impairment: A prototype for embedded assessment and rehearsal. The Gerontologist, 403 (2003)
Morris, M., Lundell, J., Dishman, E.: Computing for social connectedness. In: Proceedings of CHI 2004 (2003)
nTag Interactive, nTAG (2004)
Intille, S.S.: A new research challenge: persuasive technology to motivate healthy aging. Transactions on Information Technology in Biomedicine 8(3), 235–237 (2004)
Fogg, B.J.: Persuasive technologies. Communications of the ACM 42(5), 27–29 (1999)
Mankoff, J., et al.: Using low-cost sensing to support nutritional awareness. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 371–378. Springer, Heidelberg (2002)
Winzelberg, A.J., et al.: Effectiveness of an Internet-based program for reducing risk factors for eating disorders. Journal of Consulting and Clinical Psychology 68, 125–138 (2000)
Anderson, E.S., et al.: A computerized social cognitive intervention for nutrition behavior: Direct and mediated effects on fat, fiber, fruits, and vegetables, self-efficacy, and outcome expectations among food shoppers. Annals of Behavioral Medicine 23(2), 88–100 (2001)
Fratiglioni, L., Paillard-Bord, S., Winblad, B.: An active and socially integrated lifestyle in late life might protect against dementia. Lancet 3, 343–353 (2004)
UbiHealth 2003: The 2nd International Workshop on Ubiquitous Computing for Pervasive helthcare Applications (2003)
Intille, S.S., et al.: A living laboratory for the design and evaluation of ubiquitous computing interfaces. In: Extended Abstracts of the 2005 Conference on Human Factors in Computing Systems. ACM Press, New York (2005)
Intille, S.S., et al.: Tools for studying behavior and technology in natural settings. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 157–174. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Morris, M., Intille, S.S., Beaudin, J.S. (2005). Embedded Assessment: Overcoming Barriers to Early Detection with Pervasive Computing. In: Gellersen, H.W., Want, R., Schmidt, A. (eds) Pervasive Computing. Pervasive 2005. Lecture Notes in Computer Science, vol 3468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428572_20
Download citation
DOI: https://doi.org/10.1007/11428572_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26008-0
Online ISBN: 978-3-540-32034-0
eBook Packages: Computer ScienceComputer Science (R0)