The Role of Micro-Moments: A Survey of Habitua Behavior Change and Recommender Systems for Energy Saving

被引:42
作者
Alsalemi, Abdullah [1 ]
Sardianos, Christos [2 ]
Bensaali, Faycal [1 ]
Varlamis, Iraklis [2 ]
Amira, Abbes [3 ]
Dimitrakopoulos, George [2 ]
机构
[1] Qatar Univ, Dept Elect Engn, Doha 2713, Qatar
[2] Harokopio Univ Athens, Dept Informat & Telemat, Athens 17676, Greece
[3] Qatar Univ, Dept Comp Sci & Engn, Doha 2713, Qatar
来源
IEEE SYSTEMS JOURNAL | 2019年 / 13卷 / 03期
关键词
Domestic energy usage; energy efficiency; micro-moments; recommender systems; ELECTRICITY CONSUMPTION; USER BEHAVIOR; HOUSEHOLDS;
D O I
10.1109/JSYST.2019.2899832
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Among the large number of efforts that study the role of technology in energy saving, there exists, first, frameworks for monitoring and controlling energy consumption in households, second, systems that suggest best practices to users and energy providers, and third, findings that focus on the motivations that trigger a behavioral change toward energy efficiency. However, there is still no work that builds on the habitual behavior change of individuals and the use of technology for this purpose. In this paper, we survey the literature that aims at understanding the behavior of energy consumers and then changing it by recommending energy-saving activities. We build on the concept of "micro-moments" and the "habit loop" theory to explain how we can gradually change user routines by targeting those specific moments where the proper recommendation and a small but instant reward can be more effective in shaping a better energy-efficient profile.
引用
收藏
页码:3376 / 3387
页数:12
相关论文
共 72 条
[1]   A survey on context-aware recommender systems based on computational intelligence techniques [J].
Abbas, Assad ;
Zhang, Limin ;
Khan, Samee U. .
COMPUTING, 2015, 97 (07) :667-690
[2]   A review on energy saving strategies in industrial sector [J].
Abdelaziz, E. A. ;
Saidur, R. ;
Mekhilef, S. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (01) :150-168
[3]  
Adomavicius G, 2011, RECOMMENDER SYSTEMS HANDBOOK, P217, DOI 10.1007/978-0-387-85820-3_7
[4]  
Agichtein E., 2006, Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, P19, DOI 10.1145/1148170.1148177
[5]  
[Anonymous], 2013, POWER HABIT WHY WE W
[6]  
[Anonymous], 2003, HUMAN DECISION MAKIN
[7]  
[Anonymous], 2011, PREDICTING CHANGING, DOI DOI 10.4324/9780203838020
[8]   Public perceptions of energy consumption and savings [J].
Attari, Shahzeen Z. ;
DeKay, Michael L. ;
Davidson, Cliff I. ;
de Bruin, Waendi Bruine .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (37) :16054-16059
[9]  
Bao J., 2012, P 20 INT C ADV GEOGR, P199, DOI [DOI 10.1145/2424321.2424348, 10.1145/2424321.2424348]
[10]   Recommendations in location-based social networks: a survey [J].
Bao, Jie ;
Zheng, Yu ;
Wilkie, David ;
Mokbel, Mohamed .
GEOINFORMATICA, 2015, 19 (03) :525-565