Citation graphs visualize citation relationships of publications. Hence citation graphs enable in-depth analysis about the impact of publications to research areas, such that citation graphs have great benefits for systematic reviews about a special field of research. In this contribution, we introduce a tool for automatically generating citation graphs from a set of paper documents, which runs stand-alone or integrated in a systematic reviews application. As systematic reviews often include many papers, we also propose several strategies to reduce the complexity of citation graphs and add additional information for in-depth analysis of the impact of single publications. In addition to citation graphs our tool also visualizes the publication selection process of systematic reviews. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.
This paper discusses the criteria for usability testing and evaluation of Multimedia e-Learning Management Systems (MEMS). This was achieved through an in-depth analysis and synthesis of literature and presentation of results of a practical application using the University of Zimbabwe MEMS, Towards Student-Centred Integration of Multimedia ELearning, TSIME. Firstly, a critical review, analysis and synthesis of usability testing and evaluation of MEMS was done. That was followed by an in-depth synthesis of the learning theories as the structural basis of MEMS. Major criteria were drawn from MEMS usability, design aspects, institutional dimensions, and learning theories. The derived criteria were merged with the generic usability heuristics producing sixteen TSIME Usability Heuristics, TSIMEUH. Heuristic Evaluation (HE) method was used to test TSIME. The evaluation was carried out for two weeks using three expert evaluators. Twenty-eight usability problems were identified from the study, ten of which were classified as requiring high priority intervention while the rest needed moderate to minimal priority intervention and were solved. The major criteria that emanated from the study were under motivation, ethics and navigation attributes. The key findings indicated that criteria drawn can empower learning and solidify a good learning environment through the use of MEMS. The criteria also embrace a consolidated learning pattern that can be used in global pandemics such as the COVID-19 era by both instructors and learners. The research concluded that learning is embedded in the historical, social and material context and should be improved through interaction and feedback that incorporate the learning theories.
This work investigates the effects that different success criteria and their dimensions may have on the success of IT projects. It focuses on a model that represents the management's view of the success of an IT project. This is of particular interest due to demand for developing and examining such a model. To show the effects of the success criteria and their dimensions a survey of 646 participants was conducted. The effects of the criteria and dimensions on IT project success were subsequently studied with structural equation modeling. Because of some inconsistencies within the original model of IT project success a deducted model had to be developed. Some of the success criteria and dimensions had to be rearranged or removed from the original model due to the results of the study. The new model shows that the perception and the results of a project have a significant impact on the success rating of an IT project.
This paper relies on findings and theory from both the human-computer interaction and cognitive psychology literatures in order to inquire into the extent to which the halo effect contaminates web interface design assessments. As a human cognitive bias, the halo effect manifests itself when a judge's evaluations of an entity's individual characteristics are negatively or positively distorted by the judge's overall affect toward the entity being judged. These distortions and halo-induced delusions have substantial negative implications for rational decisionmaking and the ability to objectively evaluate businesses, technologies, or other humans, and should hence be a critical consideration for both managers and organizations alike. Here we inquire into the halo effect using a controlled, randomized experiment involving more than 1,200 research subjects. Subjects' preexisting affective states were activated using polarizing issues including abortion rights, immigration policy, and gun control laws. Subjects were then asked to evaluate specific interface characteristics of six different types of websites, the textual content of which either supported or contradicted their preexisting affective beliefs. Comparing subject responses to objective control evaluations revealed strong evidence of halo effect contamination in assessments of web interface design, particularly among men. In light of the results, a theoretical framework integrating elements from cognitive and evolutionary psychology is proposed to explain the origins and purpose of the halo effect.
Citation data contains the citations among scholarly publications. The data can be used to find relevant sources during research, identify emerging trends and research areas, compute metrics for comparing authors or journals, or for thematic clustering. Manual administration of citation data is limited due to the large number of publications. In this work, we hence lay the foundations for the automatic search for scientific citations. The unique characteristics are a purposeful search of citations for a specified set of publications (of e.g., an author or an institute). Therefore, search strategies will be developed and evaluated in this work in order to reduce the costs for the analysis of documents without citations to the given set of publications. In our experiments, for authors with more than 100 publications about 75 % of the citations were found. The purposeful strategy examined thereby only 1.5 % of the 120 million publications of the used data set.
