Adaptive Web Applications for Citizens’ Education. Case Study: Teaching Children the Value of Electrical Energy
Author(s) -
Ioana Moisil,
Alina Pitic,
Simona Dziţac,
Laurentiu Popper
Publication year - 2010
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2010.5.2242
Subject(s) - computer science , adaptation (eye) , set (abstract data type) , energy (signal processing) , function (biology) , electricity , domain (mathematical analysis) , intervention (counseling) , knowledge management , psychology , engineering , mathematical analysis , statistics , mathematics , neuroscience , evolutionary biology , psychiatry , electrical engineering , biology , programming language
Long-term energy saving and reduction of environmental consequences of energy consuming are among the most challenging objectives of our time. People are prone to routine and habit. To change these habits is almost a Sisif’s work. In spite of continuous efforts from environmental specialists, we are witnessing an increase in electricity (and gas) consumption, at least at the level of households. Studies carried on have shown that consumers have in many cases an irrational behaviour. To correct that, researchers are studying consumers’ decision making behaviour and try several intervention measures. In our paper we are presenting the design and development of a web based adaptive system aimed to educate citizens for an electrical energy saving behaviour. The system is composed of three subsystems: adaptation system, user’s profile and knowledge base. We have used a user-centered design approach. For adults, users’ profiles are build taking into account age group, educational level, gender, income, professional aspects, consuming behaviour. A set of questionnaires have been designed in order to collect users’ data. For children, the standard profiles are more complicated and, in function of the age group, can be obtained off line through interviews or/and through online activities (games, quizzes etc.). The knowledge base is build for the electrical energy domain. The adaptation sub-system will present information to the user based on s/he profile. The system is populated with data for users of 6 to 10 years of age. For this users group a social and affective interaction design approach was used.
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