A Critical Review of User Studies on Healthy Smart Homes

Considerable research has been conducted on smart services and technologies over the past decades, and the realization of smart environments has been one of the important research themes in housing studies. However, there is a lack of evaluation of the effects of those technologies on user experience from a cognitive perspective. This paper reviews the evaluation methods adopted in user studies of healthy smart homes. The review of user studies would enable the consolidation of knowledge to develop appropriate evaluation strategies for investigating user experience of smart services and technologies. Through an exhaustive search on contents pages of articles, different strategies for user studies were examined that span a range of experimental settings and analysis methods. These strategies can potentially work together in complementary ways to provide insights into user experience of healthy smart homes. The review highlighted research issues on user experience to be addressed for smart environments, giving valuable insights on cognitive paradigms to develop guide for smart services and technologies, which would ultimately encourage user satisfaction and foster sensibility.

[1]  José Alberto Fonseca,et al.  Challenges in Health Smart Homes , 2008, Pervasive 2008.

[2]  M. Cooper,et al.  Implications of the emerging home systems technologies for rehabilitation. , 1996, Medical engineering & physics.

[3]  Svetha Venkatesh,et al.  A probabilistic approach to the anxious home for activity monitoring , 2005, 29th Annual International Computer Software and Applications Conference (COMPSAC'05).

[4]  T. Tamura,et al.  Fully automated health monitoring system in the home , 1998 .

[5]  Bo Yang,et al.  Smart home research , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[6]  Y. Higashi,et al.  An unconstrained monitoring system for home rehabilitation , 2005, IEEE Engineering in Medicine and Biology Magazine.

[7]  Gregory D. Abowd,et al.  The Aware Home: A Living Laboratory for Ubiquitous Computing Research , 1999, CoBuild.

[8]  Sherrilynne S Fuller,et al.  Low-bandwidth, low-cost telemedicine consultations in rural family practice. , 2002, The Journal of the American Board of Family Practice.

[9]  D. Norback,et al.  The Home Environment of Japanese Female University Students - Association with Respiratory Health and Allergy , 2011 .

[10]  Shoji Kurakake,et al.  Ubiquitous sensors based human behavior modeling and recognition using a spatio-temporal representation of user states , 2004, 18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004..

[11]  Jeong Tai Kim,et al.  Optimization of Photovoltaic Integrated Shading Devices , 2010 .

[12]  T. Tuomisto,et al.  Diurnal and weekly rhythms of health-related variables in home recordings for two months , 2006, Physiology & Behavior.

[13]  Barry Brumitt,et al.  EasyLiving: Technologies for Intelligent Environments , 2000, HUC.

[14]  William C. Mann,et al.  Enabling location-aware pervasive computing applications for the elderly , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[15]  Yeunsook Lee,et al.  Health-enhancing Architectural Features of Modern Hanok, Experienced in and Desired by Korean Residents , 2011 .

[16]  Emine Malkoc,et al.  Post-occupancy Evaluation of a Built Environment: The Case of Konak Square (İzmir, Turkey) , 2010 .

[17]  Michael C. Mozer,et al.  The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .

[18]  N. Noury,et al.  New trends in health smart homes , 2003, Proceedings 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry (HealthCom).

[19]  George Demiris,et al.  Telehomecare: quality, perception, satisfaction. , 2004, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[20]  M. Skubic,et al.  A technology and nursing collaboration to help older adults age in place. , 2005, Nursing outlook.

[21]  Joon-Ho Choi,et al.  Post-occupancy evaluation of 20 office buildings as basis for future IEQ standards and guidelines , 2012 .

[22]  M. Chambers,et al.  User-friendly technology to help family carers cope. , 2002, Journal of advanced nursing.

[23]  Emanuele Habib,et al.  Energy performance of a lightweight opaque ventilated façade integrated with the HVAC system using saturated exhaust indoor air , 2012 .

[24]  M. Chan,et al.  Smart homes - current features and future perspectives. , 2009, Maturitas.

[25]  Yeunsook Lee,et al.  Person-centered approach in environment and energy regeneration of the most decayed area in Ireland , 2012 .

[26]  Roger Orpwood,et al.  The installation and support of internationally distributed equipment for people with dementia , 2004, IEEE Transactions on Information Technology in Biomedicine.

[27]  Kent Larson,et al.  Activity Recognition in the Home Using Simple and Ubiquitous Sensors , 2004, Pervasive.

[28]  Tae-Seong Kim,et al.  Video-based Indoor Human Gait Recognition Using Depth Imaging and Hidden Markov Model: A Smart System for Smart Home , 2011 .

[29]  Neil Brown,et al.  Information, communication and entertainment appliance use—Insights from a UK household study , 2012 .

[30]  María Teresa Arredondo,et al.  Multimedia telehomecare system using standard TV set , 2002, IEEE Transactions on Biomedical Engineering.

[31]  Jacques Demongeot,et al.  A model for the measurement of patient activity in a hospital suite , 2006, IEEE Transactions on Information Technology in Biomedicine.

[32]  Alex Mihailidis,et al.  The use of computer vision in an intelligent environment to support aging-in-place, safety, and independence in the home , 2004, IEEE Transactions on Information Technology in Biomedicine.

[33]  José A. Gutiérrez,et al.  On the Use of IEEE Std. 802.15.4 to Enable Wireless Sensor Networks in Building Automation , 2004, Int. J. Wirel. Inf. Networks.

[34]  M. Chan,et al.  Assessment of activity of elderly people using a home monitoring system , 2005, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[35]  Diane J. Cook,et al.  The role of prediction algorithms in the MavHome smart home architecture , 2002, IEEE Wirel. Commun..

[36]  P Nisbet Integrating assistive technologies: current practices and future possibilities. , 1996, Medical engineering & physics.

[37]  Minhee Kim,et al.  A Study on Bedroom Environment and Sleep Quality in Korea , 2010 .

[38]  Eric Campo,et al.  A review of smart homes - Present state and future challenges , 2008, Comput. Methods Programs Biomed..

[39]  Mohammed A. Hannan,et al.  Intelligent maximum power point tracking for PV system using Hopfield neural network optimized fuzzy logic controller , 2012 .

[40]  N. M. Barnes,et al.  Lifestyle monitoring-technology for supported independence , 1998 .

[41]  Mark Perry,et al.  Multimodal and ubiquitous computing systems: supporting independent-living older users , 2004, IEEE Transactions on Information Technology in Biomedicine.