Vangelis Metsis
Zhengyi Le
ABSTRACT
As the world population is aging, there is an increasing need to support independent living of elderly people. Assistive environments incorporate the latest pervasive and ubiquitous technologies and provide a viable alternative to traditional assistive living. In this paper, we propose an evaluation framework to assess the quality of assistive environments. An assistive environment can be successful only if the potential users are willing to adopt it. The proposed framework identifies a set of attributes that are considered critical to user adoption. Sample metrics, as well as possible approaches to measure them, are also suggested to quantify those attributes. The framework is illustrated using an experimental assistive apartment environment that is being built at the University of Texas at Arlington.
- Ark, W. & Selker, T. A Look at Human Interaction with Pervasive Computers IBM Systems Journal, 1999, 38, 504--507 Google Scholar
Digital Library
- Baldwin C., Clark K., Design Rules: The Power of Modularity Volume 1. MIT Press, 2000. Google ScholarDigital Library
- Boehm B., Brown J., Lipow M., Quantitative evaluation of software quality, Proceedings of 2nd International Conference on Software Engineering, pp. 592--605, 1976. Google ScholarDigital Library
- Boger, J.; Hoey, J.; Poupart, P.; Boutilier, C.; Fernie, G. & Mihailidis, A. A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily LivingGoogle Scholar
- Chen G., Kotz D., A Survey of Context-Aware Mobile Computing Research. Technical Report TR2000-381, Dartmouth College, 2000. Google ScholarDigital Library
- Cheverst, K.; Clarke, K.; Dewsbury, G.; Hemmings, T.; Kember, S.; Rodden, T. & Rouncefield, M. Designing assistive technologies for medication regimes in care settings Universal Access in the Information Society, Springer, 2003, 2, 235--242Google Scholar
- Dowdall, A. & Perry, M. The Millennium Home: domestic technology to support independent-living older people Proceedings of the 1 stEquator IRC Workshop, 2001, 1--15Google Scholar
- Edwards, W. & Grinter, R. At Home with Ubiquitous Computing: Seven Challenges Ubicomp 2001: Ubiquitous Computing: International Coference, Atlanta, Georgia, USA, September 30-October 2, 2001: Proceedings, Springer, 2001 Google ScholarDigital Library
- Flachberger, C., Panek, P., Zagler, W. L.: Autonomy - A Flexible and Easy-to-Use Assistive System to Support the Independence of Handicapped and Elderly Persons, Proc. 4th International Conference on Computers for Handicapped Persons (ICCHP), Vienna, Austria, Sept. 1994, 65--75. Google ScholarDigital Library
- FST - Fondation Suisse Pour Les Teletheses - Stiftung fur Elektronische Hilfsmittel: James 2000. http://www.fst.ch/FST2/CATALOGUE/fiches_produits_deta ils/James2_D.pdf. Oktober 2002Google Scholar
- Glascock, A. & Kutzik, D. The Impact of Behavioral Monitoring Technology on the Provision of Health Care in the Home Journal of Universal Computer Science, 2006, 12, 59--79Google Scholar
- Grudin, J. Why CSCW applications fail: problems in the design and evaluation of organization of organizational interfaces ACM Press New York, NY, USA, 1988 Google ScholarDigital Library
- Dr. Hein GmbH: SiCare Pilot. http://www.sicare.de/sicarepilot.html. Nurnberg 2002Google Scholar
- Henricksen K., Indulska J., and Rakotonirainy A. Modeling context information in pervasive computing systems. In 1st International Conference on Pervasive Computing (Pervasive), volume 2414 of Lecture Notes in Computer Science, pages 167--180. Springer, 2002. Google ScholarDigital Library
- Henricksen, K. & Indulska, J., A software engineering framework for context-aware pervasive computing, Pervasive Computing and Communications, 2004. PerCom 2004. Proceedings of the Second IEEE Annual Conference on, 2004, 77--86 Google ScholarDigital Library
- Ivory M., Hearst M., The state of the art in automating usability evaluation of user interfaces, ACM Computing Surveys, 33(4):470--516, 2001. Google ScholarDigital Library
- Jimison, H.; Pavel, M.; McKanna, J. & Pavel, J. Unobtrusive monitoring of computer interactions to detect cognitive status infielders Information Technology in Biomedicine, IEEE Transactions on, 2004, 8, 248--252 Google ScholarDigital Library
- Korhonen, I. & Bardram, J. Guest Editorial Introduction to the Special Section on Pervasive Healthcare Information Technology in Biomedicine, IEEE Transactions on, 2004, 8, 229--234 Google ScholarDigital Library
- Liao, L., Fox, D., Kautz, H.: Location-based activity recognition using relational Markov networks. In: Proc. of the Intl. Joint Conf. on Artificial Intelligence, pp. 773--778 (2005) Google ScholarDigital Library
- Munguia-Tapia, E., Intille, S. S., Larson, K.: Activity recognition in the home setting using simple and ubiquitous sensors. In: Ganzinger, H. (ed.) ESOP 1988. LNCS, vol. 300, pp. 158--175. Springer, Heidelberg (1988)Google Scholar
- Newell, A. & Gregor, P. Design for older and disabled people-where do we go from here? Universal Access in the Information Society, Springer, 2002, 2, 3--7Google Scholar
- Nussbaum, G. & Miesenberger, K. The Assistive Home--More than Just Another Approach to Independent Living Computer Helping People with Special Needs: 9th International Conference (ICCHP 2004). Proceedings, Springer, 1Google Scholar
- Davis, F. D., Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology MIS Quarterly, JSTOR, 1989, 13, 319--340Google Scholar
- Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Fox, D., Kautz, H., Hahnel, D.: Inferring activities from interactions with objects. In: IEEE Pervasive Computing 3(4), 50--57 (2004) Google ScholarDigital Library
- Pollack, M.; Brown, L.; Colbry, D.; McCarthy, C.; Orosz, C.; Peintner, B.; Ramakrishnan, S. & Tsamardinos, I. Autominder: an intelligent cognitive orthotic system for people with memory impairment Robotics and Autonomous Systems, Elsevier, 2003, 44, 273--282Google Scholar
- Pollack, M. Intelligent Assistive Technology: The Present and the Future LECTURE NOTES IN COMPUTER SCIENCE, Springer, 2007, 4511, 5 Google ScholarDigital Library
- Proteor Group: Nemo+. http://www.proteor.com/proteor/uk/ht/index_cata.htmGoogle Scholar
- Sensory Software International Ltd: Pocket Grid. Software for Windows CE Computers. http://www.sensorysoftware.com/software/pocketgrid/index. htmlGoogle Scholar
- Scholtz, J., and Consolvo, S., Toward a framework for evaluating ubiquitous computing applications. Pervasive Computing, IEEE 3(2004): 82--88. Google ScholarDigital Library
- Shaw M., Garlan D. Software architecture: perspectives on an emerging discipline. Prentice-Hall, 1996. Google ScholarDigital Library
- Stanford V 2002 Using Pervasive Computing to Deliver Elder Care IEEE Pervasive Computing 1 10--3 http://www.elitecare.com/ Google ScholarDigital Library
- Stone, A. The dark side of pervasive computing Pervasive Computing, IEEE, 2003, 2, 4--8 Google ScholarDigital Library
- United Nations Dept. of Economic and Social Affairs Population Division http://www.un.org/esa/population/unpop.htmGoogle Scholar
- Venkatesh, V. & Davis, F. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies Management Science, JSTOR, 2000, 46, 186--204 Google ScholarDigital Library
- Weiser, M. Some computer science issues in ubiquitous computing ACM SIGMOBILE Mobile Computing and Communications Review, ACM Press New York, NY, USA, 1999, 3 Google ScholarDigital Library
Index Terms
- Towards an evaluation framework for assistive environments
Recommendations
Semantic Matching Framework for handicap situation detection in smart environments
In this paper we present a novel approach to detect the handicap situation on a complex living environment for users with special needs. It is built upon formalisms based on Description Logic (DL) named Semantic Matching Framework (SMF). SMF provides an ...
Semantic Matching Framework for handicap situation detection in smart environments
In this paper we present a novel approach to detect the handicap situation on a complex living environment for users with special needs. It is built upon formalisms based on Description Logic (DL) named Semantic Matching Framework (SMF). SMF provides an ...
Towards a universal ontology for smart environments
iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & ServicesThe growth of ubiquitous computing and its integration in smart environments constitutes a major challenge. However, many issues related to this technology were raised, and many efforts have been made to facilitate the implementation of such technology. ...
Comments