Design and Realization of a Framework for Human–System Interaction in Smart Homes

The current smart home is a ubiquitous computing environment consisting of multiple autonomous spaces, and its advantage is that a service interacting with home users can be set with different configurations in space, hardware, software, and quality. As well as being smart technologically speaking, a smart home should also never forget to retain the “home nature” when it is serving its users. In this paper, we first analyze the relationship among services, spaces, and users, and then we propose a framework as well as a corresponding algorithm to model their interaction relationship. Later, we also realize the human-system interaction framework to implement a smart home system and develop “pervasive applications” to demonstrate how to utilize our framework to fulfill the human-centric interaction requirement of a smart home. Finally, our preliminary evaluations show that our proposed work can enhance the performance of the human-system interaction in a smart home environment.

[1]  William A. S. Buxton,et al.  Integrating the periphery and context: a new model of telematics" in proceedings of graphics interfa , 1995 .

[2]  Gregory D. Abowd,et al.  The Georgia Tech aware home , 2008, CHI Extended Abstracts.

[3]  Eric Horvitz,et al.  Principles of mixed-initiative user interfaces , 1999, CHI '99.

[4]  Abigail Sellen,et al.  Design for Privacy in Ubiquitous Computing Environments , 1993, ECSCW.

[5]  Michael Boyle,et al.  The language of privacy: Learning from video media space analysis and design , 2005, TCHI.

[6]  Sea Ling,et al.  Q-Aura: A Quantitative Model for Managing Mutual Awareness of Smart Social Artifacts , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  J. Freedman,et al.  Conceptions of Crowding. (Book Reviews: Crowding and Behavior; The Environment and Social Behavior. Privacy, Personal Space. Territory, Crowding) , 1975 .

[8]  James A. Landay,et al.  An architecture for privacy-sensitive ubiquitous computing , 2004, MobiSys '04.

[9]  Chris Schmandt,et al.  Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments , 2000, TCHI.

[10]  Fu Li-Chen,et al.  Inhabitants Tracking System in a Cluttered Home Environment Via Floor Load Sensors , 2008, IEEE Transactions on Automation Science and Engineering.

[11]  Eric Horvitz,et al.  Foreground and background interaction with sensor-enhanced mobile devices , 2005, TCHI.

[12]  Li-Chen Fu,et al.  A human-system interaction framework and algorithm for UbiComp-based smart home , 2008, 2008 Conference on Human System Interactions.

[13]  Li-Chen Fu,et al.  Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[14]  Li-Chen Fu,et al.  Robust Location-Aware Activity Recognition Using Wireless Sensor Network in an Attentive Home , 2009, IEEE Transactions on Automation Science and Engineering.

[15]  Li-Chen Fu,et al.  Human Localization via Multi-Cameras and Floor Sensors in Smart Home , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[16]  Mark Weiser.  The computer for the 21st century , 1991 .

[17]  Jacob P. Somervell,et al.  A model for notification systems evaluation—assessing user goals for multitasking activity , 2003, TCHI.

[18]  Li-Chen Fu,et al.  Toward a Message-Oriented Application Model and its Middleware Support in Ubiquitous Environments , 2008, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008).

[19]  Shin-Dug Kim,et al.  An Effective Model and Management Scheme of Personal Space for Ubiquitous Computing Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[20]  Li-Chen Fu,et al.  Power-Efficient Extensible Architecture for RFID-Assisted Multiple Target Tracking , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[21]  Sung-Bae Cho,et al.  Mixed-Initiative Human–Robot Interaction Using Hierarchical Bayesian Networks , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[22]  E. Chang,et al.  Human system interaction with confident computing. The mega trend , 2008, 2008 Conference on Human System Interactions.

[23]  Li-Chen Fu,et al.  A Reciprocal and Extensible Architecture for Multiple-Target Tracking in a Smart Home , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[24]  Peter A. Hancock,et al.  On the Process of Automation Transition in Multitask Human–Machine Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[25]  Naren Ramakrishnan,et al.  Mixed-initiative interaction = mixed computation , 2001, PEPM '02.

[26]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[27]  D. Garlan,et al.  Task-based adaptation for ubiquitous computing , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[28]  Svetha Venkatesh,et al.  Dynamic privacy assessment in a smart house environment using multimodal sensing , 2008, TOMCCAP.

[29]  Peter Steenkiste,et al.  Access Control to Information in Pervasive Computing Environments , 2003, HotOS.

[30]  Marc Langheinrich,et al.  Privacy by Design - Principles of Privacy-Aware Ubiquitous Systems , 2001, UbiComp.