@mastersthesis{miao_filling_2023,
	address = {Siegen, Germany},
	title = {Filling the {Information} {Gap}: {A} {Design} {Case} {Study} of {A} {Recommender} for {Home} {Energy} {System}},
	url = {https://www.wineme.uni-siegen.de/wp-content/uploads/2024/08/Yanwei-Miao_Thesis.pdf},
	abstract = {The transition to clean energy and energy-efficient technologies is crucial for reducing carbon emissions and mitigating climate change. However, households lack sufficient knowledge and guidance on these technologies, including the potential benefits that can be obtained through their adoption. This study aims to fill the information gap and support decision-making on the adoption of clean energy and energy technologies for homeowners by introducing a novel IT artefact, a personalised home energy system recommender. Meanwhile, this study also seeks to develop effective explanations within a recommender system that fosters trust and facilitates knowledge acquisition, thereby assisting households in making sustainable decisions.
This study employs Design Case Studies within the framework of Grounded Design. Prestudy activities involved online searches and literature reviews. The subsequent concept development phase focused on a constructivism-aligned approach. There has been two evaluations performed in this study, formative evaluation before actual programming and summative evaluation after the online deployment of the service. Qualitative user studies were conducted during the summative evaluation to assess the artefact’s effectiveness, emphasising two critical aspects: Knowledge Enhancement: Evaluating users’ augmentation of understanding regarding energy technologies and their benefits. Trust in Recommendations: Building users’ confidence in the system’s suggestions.
The results highlight that the provision of information significantly influences homeowners’ decision-making, with slight variations in user responses. The service offered three levels of explanations, with financial and usage pattern explanations being well-received by users. On the other hand, educational explanations focusing on climate change appear less appealing to many. Furthermore, the results offer insights into financial considerations, motivations, trust, personalisation concerns, and the need for comprehensive information. In essence, this study unveils multifaceted insights through the lens of the developed IT artefact, providing an understanding of various dimensions related to homeowners’ decision-making in adopting energy technologies.},
	language = {English},
	school = {University of Siegen},
	author = {Miao, Yanwei},
	month = nov,
	year = {2023},
	keywords = {Masterthesis, Thesis},
}

{"_id":"pKZx5aishyQnCYK7e","bibbaseid":"miao-fillingtheinformationgapadesigncasestudyofarecommenderforhomeenergysystem-2023","author_short":["Miao, Y."],"bibdata":{"bibtype":"mastersthesis","type":"mastersthesis","address":"Siegen, Germany","title":"Filling the Information Gap: A Design Case Study of A Recommender for Home Energy System","url":"https://www.wineme.uni-siegen.de/wp-content/uploads/2024/08/Yanwei-Miao_Thesis.pdf","abstract":"The transition to clean energy and energy-efficient technologies is crucial for reducing carbon emissions and mitigating climate change. However, households lack sufficient knowledge and guidance on these technologies, including the potential benefits that can be obtained through their adoption. This study aims to fill the information gap and support decision-making on the adoption of clean energy and energy technologies for homeowners by introducing a novel IT artefact, a personalised home energy system recommender. Meanwhile, this study also seeks to develop effective explanations within a recommender system that fosters trust and facilitates knowledge acquisition, thereby assisting households in making sustainable decisions. This study employs Design Case Studies within the framework of Grounded Design. Prestudy activities involved online searches and literature reviews. The subsequent concept development phase focused on a constructivism-aligned approach. There has been two evaluations performed in this study, formative evaluation before actual programming and summative evaluation after the online deployment of the service. Qualitative user studies were conducted during the summative evaluation to assess the artefact’s effectiveness, emphasising two critical aspects: Knowledge Enhancement: Evaluating users’ augmentation of understanding regarding energy technologies and their benefits. Trust in Recommendations: Building users’ confidence in the system’s suggestions. The results highlight that the provision of information significantly influences homeowners’ decision-making, with slight variations in user responses. The service offered three levels of explanations, with financial and usage pattern explanations being well-received by users. On the other hand, educational explanations focusing on climate change appear less appealing to many. Furthermore, the results offer insights into financial considerations, motivations, trust, personalisation concerns, and the need for comprehensive information. In essence, this study unveils multifaceted insights through the lens of the developed IT artefact, providing an understanding of various dimensions related to homeowners’ decision-making in adopting energy technologies.","language":"English","school":"University of Siegen","author":[{"propositions":[],"lastnames":["Miao"],"firstnames":["Yanwei"],"suffixes":[]}],"month":"November","year":"2023","keywords":"Masterthesis, Thesis","bibtex":"@mastersthesis{miao_filling_2023,\n\taddress = {Siegen, Germany},\n\ttitle = {Filling the {Information} {Gap}: {A} {Design} {Case} {Study} of {A} {Recommender} for {Home} {Energy} {System}},\n\turl = {https://www.wineme.uni-siegen.de/wp-content/uploads/2024/08/Yanwei-Miao_Thesis.pdf},\n\tabstract = {The transition to clean energy and energy-efficient technologies is crucial for reducing carbon emissions and mitigating climate change. However, households lack sufficient knowledge and guidance on these technologies, including the potential benefits that can be obtained through their adoption. This study aims to fill the information gap and support decision-making on the adoption of clean energy and energy technologies for homeowners by introducing a novel IT artefact, a personalised home energy system recommender. Meanwhile, this study also seeks to develop effective explanations within a recommender system that fosters trust and facilitates knowledge acquisition, thereby assisting households in making sustainable decisions.\nThis study employs Design Case Studies within the framework of Grounded Design. Prestudy activities involved online searches and literature reviews. The subsequent concept development phase focused on a constructivism-aligned approach. There has been two evaluations performed in this study, formative evaluation before actual programming and summative evaluation after the online deployment of the service. Qualitative user studies were conducted during the summative evaluation to assess the artefact’s effectiveness, emphasising two critical aspects: Knowledge Enhancement: Evaluating users’ augmentation of understanding regarding energy technologies and their benefits. Trust in Recommendations: Building users’ confidence in the system’s suggestions.\nThe results highlight that the provision of information significantly influences homeowners’ decision-making, with slight variations in user responses. The service offered three levels of explanations, with financial and usage pattern explanations being well-received by users. On the other hand, educational explanations focusing on climate change appear less appealing to many. Furthermore, the results offer insights into financial considerations, motivations, trust, personalisation concerns, and the need for comprehensive information. In essence, this study unveils multifaceted insights through the lens of the developed IT artefact, providing an understanding of various dimensions related to homeowners’ decision-making in adopting energy technologies.},\n\tlanguage = {English},\n\tschool = {University of Siegen},\n\tauthor = {Miao, Yanwei},\n\tmonth = nov,\n\tyear = {2023},\n\tkeywords = {Masterthesis, Thesis},\n}\n\n\n\n","author_short":["Miao, Y."],"key":"miao_filling_2023","id":"miao_filling_2023","bibbaseid":"miao-fillingtheinformationgapadesigncasestudyofarecommenderforhomeenergysystem-2023","role":"author","urls":{"Paper":"https://www.wineme.uni-siegen.de/wp-content/uploads/2024/08/Yanwei-Miao_Thesis.pdf"},"keyword":["Masterthesis","Thesis"],"metadata":{"authorlinks":{}}},"bibtype":"mastersthesis","biburl":"https://bibbase.org/zotero-group/WinemeCSCW/2912317","dataSources":["2aZf3F3Kjs6p26m56"],"keywords":["masterthesis","thesis"],"search_terms":["filling","information","gap","design","case","study","recommender","home","energy","system","miao"],"title":"Filling the Information Gap: A Design Case Study of A Recommender for Home Energy System","year":2023}