TY - GEN
T1 - Design and management methods of Smart Home human-computer relationship
AU - Jiuqiang, Fu
AU - Bing, Jiang
AU - Xin, Yang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - The advent of Smart Home is the result of advanced information technology and Internet of Things combining with traditional living environment. Smart Home provides a revolutionary live experience, being the direction of future residential development. Currently, research on Smart Home stays at the technical level, and market expectations are high for Smart Home products, but companies did not provide users with practical and reliable products. To resolve this problem, firstly, this study implements a literature study starting from the living behavior based on the study outcomes of foreign country. We classify the people's life in the home environment and analyze the intelligent technology's impact on the traditional home life. During the experiment, we analyze human-computer interaction relationship of Smart Home in detail, establish human-machine interaction management and evaluation system, and propose an optimal method. The results of this paper summarize design and management methods about human-machine relationship of Smart Home systems. Demand-oriented design methods aim to meet people's physical needs, security requirements, social, esteem and self-actualization needs. The management methods for Smart Home systems include acts, scenes, use and manipulation of input and output terminals.
AB - The advent of Smart Home is the result of advanced information technology and Internet of Things combining with traditional living environment. Smart Home provides a revolutionary live experience, being the direction of future residential development. Currently, research on Smart Home stays at the technical level, and market expectations are high for Smart Home products, but companies did not provide users with practical and reliable products. To resolve this problem, firstly, this study implements a literature study starting from the living behavior based on the study outcomes of foreign country. We classify the people's life in the home environment and analyze the intelligent technology's impact on the traditional home life. During the experiment, we analyze human-computer interaction relationship of Smart Home in detail, establish human-machine interaction management and evaluation system, and propose an optimal method. The results of this paper summarize design and management methods about human-machine relationship of Smart Home systems. Demand-oriented design methods aim to meet people's physical needs, security requirements, social, esteem and self-actualization needs. The management methods for Smart Home systems include acts, scenes, use and manipulation of input and output terminals.
KW - Smart Home
KW - design methods
KW - human-machine relationship
KW - management methods
UR - http://www.scopus.com/inward/record.url?scp=85016970229&partnerID=8YFLogxK
U2 - 10.1109/CCIOT.2016.7868322
DO - 10.1109/CCIOT.2016.7868322
M3 - Conference contribution
AN - SCOPUS:85016970229
T3 - Proceedings of 2016 2nd International Conference on Cloud Computing and Internet of Things, CCIOT 2016
SP - 148
EP - 151
BT - Proceedings of 2016 2nd International Conference on Cloud Computing and Internet of Things, CCIOT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Cloud Computing and Internet of Things, CCIOT 2016
Y2 - 22 October 2016 through 23 October 2016
ER -