Three Essays on the Role of IT in Environmental Sustainability: Motivating Individuals to Use Green IT, Enhancing Their User Experience, and Promoting Electricity Conservation

This dissertation focuses on the role of IT in environmental sustainability and electricity conservation through three research essays. The first essay makes a case for behavior research, with the focus on individuals\u27 use of Green IT. Moreover, environmental studies lack a coherent theory that could identify the motivators of Green-IT beliefs. We develop the hedonic motivation theory, which synthesizes theoretical and philosophical thoughts on hedonism with concepts from environmental research. Using this theory, we develop a conceptual model that identifies the motivators of context-specific beliefs, attitudes, and uses of Green IT. We theorize that there are significant generational differences in the process by which hedonic motivators influence Green IT use behaviors. Young adults are more motivated by personal hedonic motivation, and an affective and automatic process, whereas older adults are motivated by a cognitive and attitudinal process. This study was carried out using a structural equation modeling method of analysis based on 702 observations of the survey data. The results support the theorized model, with significant implications. The second essay examines the design taxonomy of electricity consumption feedback applications, which are considered one of the critical technologies in alleviating the increasing trends of energy consumption and greenhouse gas emissions. We relied on an integrative theoretical framework and literature review to propose a comprehensive taxonomy for salient design elements of electricity consumption feedback applications. Using a survey method, we collected data from general public to evaluate the preference and relative importance of the design elements. We found that there is a preferred set of design elements for the feedback applications. Our results could serve as a basis to evaluate the design of existing electricity consumption feedback applications, and to help in studying the influence of design elements on beliefs and behaviors related to individuals\u27 electricity conservation. The third essay investigates the role of the salient design elements identified in the second essay, and the processes by which these elements motivate electricity consumers\u27 behaviors towards energy conservation. We developed a conceptual framework by extending the theory of planned behavior to study how salient design elements of feedback applications impact the beliefs and behaviors of individual electricity consumers. To our knowledge, this is the first study aimed at examining the relationship between electricity consumers\u27 beliefs and behaviors and the specific perceived design elements of electricity consumption feedback applications. We empirically evaluated the conceptual model by developing a mobile app and a corresponding website and conducting a controlled longitudinal lab experiment. The results indicate strong support for the premises of the model and support the significant role of personalized design elements in use behaviors and electricity conservation. Our findings show the importance of integrating descriptive social norm, personalized goal setting, and personalized privacy preferences design elements in feedback applications. This dissertation makes a number of significant contributions to theory and application. First, it develops a new theory that identifies motivators of Green IT use. It shows that the conceptualized motivators impact use behaviors though multiple paths--the cognitive and emotional automatic paths-- and are moderated by users\u27 age. Second, this work develops a taxonomy of design elements for electricity consumption feedback applications based on an integrative theoretical framework and extensive review of the existing literature. This taxonomy and the relative importance of elements in the taxonomy could serve as the standard for developing and assessing feedback application tools. Third, this work develops a conceptual model that identifies the processes by which design elements of electricity consumption feedback applications help in the conservation of electricity by individuals. Together, the three essays contribute to the sustainability and Green IT literature by uncovering the significant role of individuals in dealing with environmental threats and energy consumption challenges and by conceptualizing the different antecedents and processes that shape the perceptions and behaviors related to Green IT and electricity consumption. Moreover, the three studies extend user-centric design research by integrating insights from multiple disciplines to explain, design, create, and test innovative tools that could have a pivotal role in dealing with global sustainability challenges. This work also provides a standard for the evaluation of such tools from multiple stakeholder perspectives. Finally, the three essays contribute to practice by proposing guidelines to industry designers and policy makers for promoting sustainability and energy conservation through personalized tools and effective campaigns

Share - Publish - Store - Preserve. Methodologies, Tools and Challenges for 3D Use in Social Sciences and Humanities

Through this White Paper, which gathers contributions from experts of 3D data as well as professionals concerned with the interoperability and sustainability of 3D research data, the PARTHENOS project aims at highlighting some of the current issues they have to face, with possible specific points according to the discipline, and potential practices and methodologies to deal with these issues. During the workshop, several tools to deal with these issues have been introduced and confronted with the participants experiences, this White Paper now intends to go further by also integrating participants feedbacks and suggestions of potential improvements. Therefore, even if the focus is put on specific tools, the main goal is to contribute to the development of standardized good practices related to the sharing, publication, storage and long-term preservation of 3D data

Interim research assessment 2003-2005 - Computer Science

This report primarily serves as a source of information for the 2007 Interim Research Assessment Committee for Computer Science at the three technical universities in the Netherlands. The report also provides information for others interested in our research activities

Annual Research Report, 2009-2010

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and governmenthttps://digitalcommons.odu.edu/or_researchreports/1001/thumbnail.jp

Annual Research Report, 2010-2011

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and government.https://digitalcommons.odu.edu/or_researchreports/1000/thumbnail.jp

SMARAD - Centre of Excellence in Smart Radios and Wireless Research - Activity Report 2008 - 2010

Centre of Excellence in Smart Radios and Wireless Research (SMARAD), originally established with the name Smart and Novel Radios Research Unit, is aiming at world-class research and education in Future radio and antenna systems, Cognitive radio, Millimetre wave and THz techniques, Sensors, and Materials and energy, using its expertise in RF, microwave and millimetre wave engineering, in integrated circuit design for multi-standard radios as well as in wireless communications. SMARAD has the Centre of Excellence in Research status from the Academy of Finland since 2002 (2002-2007 and 2008-2013). Currently SMARAD consists of five research groups from three departments, namely the Department of Radio Science and Engineering, Department of Micro and Nanosciences, and Department of Signal Processing and Acoustics, all within the Aalto University School of Electrical Engineering. The total number of employees within the research unit is about 100 including 8 professors, about 30 senior scientists and about 40 graduate students and several undergraduate students working on their Master thesis. The relevance of SMARAD to the Finnish society is very high considering the high national income from exports of telecommunications and electronics products. The unit conducts basic research but at the same time maintains close co-operation with industry. Novel ideas are applied in design of new communication circuits and platforms, transmission techniques and antenna structures. SMARAD has a well-established network of co-operating partners in industry, research institutes and academia worldwide. It coordinates a few EU projects. The funding sources of SMARAD are diverse including the Academy of Finland, EU, ESA, Tekes, and Finnish and foreign telecommunications and semiconductor industry. As a byproduct of this research SMARAD provides highest-level education and supervision to graduate students in the areas of radio engineering, circuit design and communications through Aalto University and Finnish graduate schools such as Graduate School in Electronics, Telecommunications and Automation (GETA). During years 2008 – 2010, 21 doctor degrees were awarded to the students of SMARAD. In the same period, the SMARAD researchers published 141 refereed journal articles and 333 conference papers

User Modeling and User Profiling: A Comprehensive Survey

The integration of artificial intelligence (AI) into daily life, particularly through information retrieval and recommender systems, has necessitated advanced user modeling and profiling techniques to deliver personalized experiences. These techniques aim to construct accurate user representations based on the rich amounts of data generated through interactions with these systems. This paper presents a comprehensive survey of the current state, evolution, and future directions of user modeling and profiling research. We provide a historical overview, tracing the development from early stereotype models to the latest deep learning techniques, and propose a novel taxonomy that encompasses all active topics in this research area, including recent trends. Our survey highlights the paradigm shifts towards more sophisticated user profiling methods, emphasizing implicit data collection, multi-behavior modeling, and the integration of graph data structures. We also address the critical need for privacy-preserving techniques and the push towards explainability and fairness in user modeling approaches. By examining the definitions of core terminology, we aim to clarify ambiguities and foster a clearer understanding of the field by proposing two novel encyclopedic definitions of the main terms. Furthermore, we explore the application of user modeling in various domains, such as fake news detection, cybersecurity, and personalized education. This survey serves as a comprehensive resource for researchers and practitioners, offering insights into the evolution of user modeling and profiling and guiding the development of more personalized, ethical, and effective AI systems.Comment: 71 page