Understanding and modeling of aesthetic response to shape and color in car body design

This study explored the phenomenon that a consumer's preference on color of car body may vary depending on shape of the car body. First, the study attempted to establish a theoretical framework that can account for this phenomenon. This framework is based on the (modern-) Darwinism approach to the so-called evolutionary psychology and aesthetics. It assumes that human's aesthetic sense works like an agent that seeks for environmental patterns that potentially afford to benefit the underlying needs of the agent, and this seeking process is evolutionary fitting. Second, by adopting the framework, a pattern called “fundamental aesthetic dimensions” was developed for identifying and modeling consumer’s aesthetic response to car body shape and color. Next, this study developed an effective tool that is capable in capturing and accommodating consumer’s color preference on a given car body shape. This tool was implemented by incorporating classic color theories and advanced digital technologies; it was named “Color-Shape Synthesizer”. Finally, an experiment was conducted to verify some of the theoretical developments. This study concluded (1) the fundamental aesthetics dimensions can be used for describing aesthetics in terms of shape and color; (2) the Color-Shape Synthesizer tool can be well applied in practicing car body designs; and (3) mapping between semantic representations of aesthetic response to the fundamental aesthetics dimensions can likely be a multiple-network structure

eduGraph: A Dashboard for Personalised Feedback in Massive Open Online Courses

Learning Analytics is concerned with the design and implementation of tools and processes for collecting, analysing, and communicating information about teaching and learning. It is enabled by data, but not driven by it, rather it tries to empower human judgements by presenting meaningful facts. This thesis explores the data generated in Open edX courses to understand how it can be analysed and used to impact learners' motivation in online courses. It is carried out using Design Science, a research methodology aiming to produce artefacts that can improve the interaction with problems. In this thesis I present the eduGraph dashboard, a dashboard that uses Learning Analytics to present meaningful insights about learners' learning process in Massive Open Online Courses (MOOCs). Results indicate that learners perceive the dashboard as useful and effective at motivating them to take part in online courses, and that it enables them to keep track of their progress in the courses. I posit that the biggest problem facing Learning Analytics today are the lack of accessible data, and that it is possible for reasearchers to create more accurate learner models by using Learning Anaytics theories and methods in combination with the iterative and technical process of Information Systems development.Masteroppgave i informasjonsvitenskapINFO390MASV-INF

On-Cloud Motherhood Clinic: A Healthcare Management Solution for Rural Communities in Developing Countries

Background: Modern telecommunication infrastructure enables bridging of the digital divide between rural and urban healthcare services, promoting the provision of suitable medical care and support. Thus far, there has been some positive impacts to applying mobile health (m-Health) solutions, but their full potential in relation to cloud computing has is yet to be realised. It is imperative to develop an innovative approach for addressing the digital divide in a context of developing country. Method: Adopting a design science research approach (DSR), this study describes an innovative m-Health solution utilising cloud computing that enables healthcare professionals and women in rural areas to achieve comprehensive maternal healthcare support. We developed the solution framework through iterative prototyping with stakeholders’ participation, and evaluated the design using focus groups. Results: The cloud-based solution was positively evaluated as supporting healthcare professionals and service providers. It was perceived to help provide a virtual presence for evaluating and diagnosing expectant mothers’ critical healthcare data, medical history, and in providing necessary service support in a virtual clinic environment. Conclusions: The new application offers benefits to target stakeholders enabling a new practice-based paradigm applicable in other healthcare management. We demonstrated utilities to address target problems as well as the mechanism propositions for meeting the information exchange demand for better realisation of practical needs of the end users. Available at: https://aisel.aisnet.org/pajais/vol12/iss1/3

Inclusive Intelligent Learning Management System Framework - Application of Data Science in Inclusive Education

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceBeing a disabled student the author faced higher education with a handicap which as experience studying during COVID 19 confinement periods matched the findings in recent research about the importance of digital accessibility through more e-learning intensive academic experiences. Narrative and systematic literature reviews enabled providing context in World Health Organization’s International Classification of Functioning, Disability and Health, legal and standards framework and information technology and communication state-of-the art. Assessing Portuguese higher education institutions’ web sites alerted to the fact that only outlying institutions implemented near perfect, accessibility-wise, websites. Therefore a gap was identified in how accessible the Portuguese higher education websites are, the needs of all students, including those with disabilities, and even the accessibility minimum legal requirements for digital products and the services provided by public or publicly funded organizations. Having identified a problem in society and exploring the scientific base of knowledge for context and state of the art was a first stage in the Design Science Research methodology, to which followed development and validation cycles of an Inclusive Intelligent Learning Management System Framework. The framework blends various Data Science study fields contributions with accessibility guidelines compliant interface design and content upload accessibility compliance assessment. Validation was provided by a focus group whose inputs were considered for the version presented in this dissertation. Not being the purpose of the research to deliver a complete implementation of the framework and lacking consistent data to put all the modules interacting with each other, the most relevant modules were tested with open data as proof of concept. The rigor cycle of DSR started with the inclusion of the previous thesis on Atlântica University Institute Scientific Repository and is to be completed with the publication of this thesis and the already started PhD’s findings in relevant journals and conferences

NEW ARTIFACTS FOR THE KNOWLEDGE DISCOVERY VIA DATA ANALYTICS (KDDA) PROCESS

Recently, the interest in the business application of analytics and data science has increased significantly. The popularity of data analytics and data science comes from the clear articulation of business problem solving as an end goal. To address limitations in existing literature, this dissertation provides four novel design artifacts for Knowledge Discovery via Data Analytics (KDDA). The first artifact is a Snail Shell KDDA process model that extends existing knowledge discovery process models, but addresses many existing limitations. At the top level, the KDDA Process model highlights the iterative nature of KDDA projects and adds two new phases, namely Problem Formulation and Maintenance. At the second level, generic tasks of the KDDA process model are presented in a comparative manner, highlighting the differences between the new KDDA process model and the traditional knowledge discovery process models. Two case studies are used to demonstrate how to use KDDA process model to guide real world KDDA projects. The second artifact, a methodology for theory building based on quantitative data is a novel application of KDDA process model. The methodology is evaluated using a theory building case from the public health domain. It is not only an instantiation of the Snail Shell KDDA process model, but also makes theoretical contributions to theory building. It demonstrates how analytical techniques can be used as quantitative gauges to assess important construct relationships during the formative phase of theory building. The third artifact is a data mining ontology, the DM3 ontology, to bridge the semantic gap between business users and KDDA expert and facilitate analytical model maintenance and reuse. The DM3 ontology is evaluated using both criteria-based approach and task-based approach. The fourth artifact is a decision support framework for MCDA software selection. The framework enables users choose relevant MCDA software based on a specific decision making situation (DMS). A DMS modeling framework is developed to structure the DMS based on the decision problem and the users\u27 decision preferences and. The framework is implemented into a decision support system and evaluated using application examples from the real-estate domain

2010 Annual Research Symposium Abstract Book

2010 annual volume of abstracts for science research projects conducted by students at Trinity College

Analysis of Family-Health-Related Topics on Wikipedia

New concepts, terms, and topics always emerge; and meanings of existing terms and topics keep changing all the time. These phenomena occur more frequently on social media than on conventional media because social media allows a huge number of users to generate information online. Retrieving relevant results in different time periods of a fast-changing topic becomes one of the most difficult challenges in the information retrieval field. Among numerous topics discussed on social media, health-related topics are a major category which attracts increasing attention from the general public. This study investigated and explored the evolution patterns of family-health-related topics on Wikipedia. Three family-health-related topics (Child Maltreatment, Family Planning, and Women’s Health) were selected from the World Health Organization Website and their associated entries were retrieved on Wikipedia. Historical numeric and text data of the entries from 2010 to 2017 were collected from a Wikipedia data dump and the Wikipedia Web pages. Four periods were defined: 2010 to 2011, 2012 to 2013, 2014 to 2015, and 2016 to 2017. Coding, subject analysis, descriptive statistical analysis, inferential statistical analysis, SOM approach, and n-gram approach were employed to explore the internal characteristics and external popularity evolutions of the topics. The findings illustrate that the external popularities of the family-health-related topics declined from 2010 to 2017, although their content on Wikipedia kept increasing. The emerged entries had three features: specialization, summarization, and internationalization. The subjects derived from the entries became increasingly diverse during the investigated periods. Meanwhile, the developing trajectories of the subjects varied from one to another. According to the developing trajectories, the subjects were grouped into three categories: growing subject, diminishing subject, and fluctuating subject. The popularities of the topics among the Wikipedia viewers were consistent, while among the editors were not. For each topic, its popularity trend among the editors and the viewers was inconsistent. Child Maltreatment was the most popular among the three topics, Women’s Health was the second most popular, while Family Planning was the least popular among the three. The implications of this study include: (1) helping health professionals and general users get a more comprehensive understanding of the investigated topics; (2) contributing to the developments of health ontologies and consumer health vocabularies; (3) assisting Website designers in organizing online health information and helping them identify popular family-health-related topics; (4) providing a new approach for query recommendation in information retrieval systems; (5) supporting temporal information retrieval by presenting the temporal changes of family-health-related topics; and (6) providing a new combination of data collection and analysis methods for researchers

The Image Bank: Reflections on an Incomplete Archive

This thesis examines the development of a digital archive for The Image Bank at GSU as a process of excavation and reconstruction. It defines the digital archive as a medium for the institutionalization of knowledge, its reproduction, and preservation. In addition, this thesis examines the digital archive as it operates on a continuum of materiality and immateriality, encompassing fractured distinctions between its possibilities and impossibilities in an increasingly dematerialized digitized landscape

Design of an information system that connects retail banks and customers

The Swedish company Skyforge Financial Solutions AB (www.skyforge.se) is working on the new product MyBudget that will be part of an internet banking solution. The current version of the software extracts the spending information from the bank's transactions and then organize it graphically. My work is aimed to design a new concept the next major vision of MyBudget. It will be analyzed the stream of information between banks and customers, it will be evaluated if it is possible to have a deeper analysis of the available information about the customers so that the banks can improve their business, and then there will be some comments about the implication of the usage of this prototype by the customers in their way of spending money. The policy of research agreed with the company is to nd a "win-win" solution between banks and customers. Both of them should receive more information and then more advantages. MyBudget will have the technology that will make this possible. Sweden and nordic countries will be the rst reference market. The best practices of money management will be borrowed from companies processes to design solutions to improve the banks' customers spending behavior. This thesis is based on the work done in my whole university career but, mostly in the following courses taken in Lund University: - Strategic Management and Information Systems - Decision Support Systems - Design of Business Rules Systems - Business Intelligence and Securit

THE RETURN OF THE BLACK BEAR TO EASTERN KENTUCKY: CONFLICT AND TOLERANCE BETWEEN PEOPLE AND WILDLIFE

The black bear (Ursus americanus) has returned to Kentucky and is now part of a reproducing population in the southeastern Cumberland Mountain region. The broad objective of this project was to examine the interactions between people and bears, with the ultimate goal of improving bear management in a way that addresses stakeholder concerns. Using interviews of regional stakeholders, participant observation, and media reports collected between summer 2003 and fall 2006, I investigated how the presence of black bears in Harlan and Letcher counties in Kentucky has had an impact on area residents. I complemented this information with observations of bear behavior and an analysis of bear capture and handling data collected within the study period. Artificial provisioning of bears was widespread and \u3e60% of black bears captured were confirmed to use anthropogenic foods at least some of the time. I found a significant difference (P\u3c0.0001) in the apparent physical condition of confirmed anthropogenic feeding bears and bears whose feeding behavior was unknown, and similar differences in physical condition between bears captured along traplines in Harlan and Letcher counties when compared to bears captured along traplines in Bell County (P\u3c0.01). Mean litter size was 3.25 ± 0.11 (SE), significantly above average for eastern North America (P\u3c0.05) although cub survival remains unknown. All documented mortality of adult bears was human-caused. Anthropogenic food sources may affect bear behavior, survival, reproduction, and physiology, as well as bring bears into close contact with humans. Artificial provisioning is currently an important part of bear-human interaction in eastern Kentucky, both facilitating bear tourism as well as precipitating nuisance problems. Cessation of provisioning could have important consequences for the developing tourism industry in the region and for the bears themselves. Both the Kentucky Department of Fish and Wildlife Resources and many local people have an interest in conserving bears, but problems have arisen due to differing conceptions of appropriate or desirable management. A better understanding of the human dynamics and cooperation taking place in this situation could provide much-needed information both in Kentucky and in other localities where stakeholders are debating how to co-exist with wildlife