TY - GEN
T1 - PRONA
T2 - 4th IEEE International Workshop on Networked Appliances
AU - Kirihara, Y.
AU - Yura, J.
AU - Nakazawa, J.
AU - Tokuda, H.
PY - 2002/1/1
Y1 - 2002/1/1
N2 - We propose a proactive operational model for home appliances. Users of home appliances often have difficulty in operating appliances due to their high functionality, complex interface, which have many buttons, and users.' lack of knowledge. The current operational model of home appliances is a reactive model, which it is necessary for users to notify appliances of operational information. This causes an increased burden on the user to understanding correct operational information. To cope with these issues we propose a proactive operational model. In this model, appliances acquire the operational information by themselves, and provide users with their services based on that information. Based on this model, we have developed a middleware, called Proactive Support System for Networked Appliances (PRONA). PRONA is realized by acquiring information necessary for appliance operation and learning the users' operational pattern. PRONA consists of three modules, which are the information acquisition module, the suggestion composition module, and the information manager module. We evaluated the use of PRONA in a proactive television application. PRONA's quantitative evaluation criteria are its processing time, the accuracy of its suggestions for user' action, and its learning time for the user' operational pattern while varying the number of proactive components.
AB - We propose a proactive operational model for home appliances. Users of home appliances often have difficulty in operating appliances due to their high functionality, complex interface, which have many buttons, and users.' lack of knowledge. The current operational model of home appliances is a reactive model, which it is necessary for users to notify appliances of operational information. This causes an increased burden on the user to understanding correct operational information. To cope with these issues we propose a proactive operational model. In this model, appliances acquire the operational information by themselves, and provide users with their services based on that information. Based on this model, we have developed a middleware, called Proactive Support System for Networked Appliances (PRONA). PRONA is realized by acquiring information necessary for appliance operation and learning the users' operational pattern. PRONA consists of three modules, which are the information acquisition module, the suggestion composition module, and the information manager module. We evaluated the use of PRONA in a proactive television application. PRONA's quantitative evaluation criteria are its processing time, the accuracy of its suggestions for user' action, and its learning time for the user' operational pattern while varying the number of proactive components.
KW - Databases
KW - Hardware
KW - Home appliances
KW - Home computing
KW - Information management
KW - Manufacturing
KW - Middleware
KW - Programming profession
KW - Space technology
KW - TV
UR - http://www.scopus.com/inward/record.url?scp=4043054055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=4043054055&partnerID=8YFLogxK
U2 - 10.1109/IWNA.2001.980831
DO - 10.1109/IWNA.2001.980831
M3 - Conference contribution
AN - SCOPUS:4043054055
T3 - Proceedings - 2002 IEEE 4th International Workshop on Networked Appliances
SP - 145
EP - 154
BT - Proceedings - 2002 IEEE 4th International Workshop on Networked Appliances
A2 - Mink, Alan
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 January 2002 through 16 January 2002
ER -