Tag clouds algorithm with the inclusion of personality traits

Tag clouds have emerged as the latest technique in information visualization using text analysis methods in a variety of situations to interpret unstructured data types. Literature review emphasizes that information visualization development techniques should include the personality traits of humans to provide effective and meaningful information. However, in the field of tag clouds, no published studies have investigated the role of personality traits to guide the design of tag cloud visualization. Furthermore, the algorithm to generate tag cloud visualization based on personality traits has not been explored. Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. This study focuses on two visual features associated with personality traits, which are colors and shapes. To achieve the aim of this study, Design Science methodology was used through three main phases: problem identification, design of solution, and evaluation. The algorithm was developed based on three theories of personality traits, namely Myers-Briggs Type Indicator (MBTI), Shape, and Multiple Intelligence (MI). The algorithm was then tested through a black box testing. In addition, a prototype was developed to evaluate the proposed algorithm. Then, user satisfaction was conducted in order to evaluate this prototype using Q-SAFI instruments. Notable findings suggest that users are highly satisfied with colors and shapes of tag cloud as well as the overall tag cloud layout styles. The main contribution of this research is the tag cloud layout styles algorithm, which combines the concept of personality traits and characteristics of colors and shapes. This algorithm is beneficial for decision making using information visualization in which personality traits of the user are heavily inclined. Moreover, the tag cloud user’s satisfaction instrument, Q-SAFI, provides measurements for evaluating tag cloud visualization

Algorithm visualization design guidelines for mobile leaning

This study is about the algorithm visualization design guidelines for mobile platform, to teach students data structures and algorithm (DSA) subject effectively. The previous analytical review report that AV design guidelines on mobile platform are still lacking. Generally, the previous AV guidelines are prepared for website and desktop platform. In reality, many evidences displayed that mobile learning could improve engagement in learning environments, and consequently effect student’s acquisition. Researchers highlighted that UI design and Interactivity are significant elements in designing AV system effectively. Nonetheless, these two facets in previous AV design guidelines are separated and not elaborated comprehensively. The UI design in our guidelines is about the recommendation of user interface arrangement, such as AV features (visualization, pseudo-code, buttons, text, etc.) in mobile screen device, while interactivity discusses the features that can engage students in learning-by-doing paradigm. Consequently, this study primarily proposes the design guidelines of AV mobile learning that integrates those two aspects. The guidelines are established through systematic activities: analytical review from various related fields. The guidelines are useful for AV designers in constructing AV mobile learning

Evaluation Tool of Land Suitability for Medicinal Plants

Medicinal plants have been very important plants that are responsible in maintaining the health of millions of people in the world  since a very long time. Planting these crops must be carried out on a land that is suitable based on the results of a land suitability evaluation.  A framework to evaluate the land suitability for many land uses is initiated by Food and Agricultural Organization (FAO) in the late 1970’s. As the advent of smart phone nowadays becoming ubiquitous technology to solve problems in most settings, such as education, agriculture, medicine, psychology, and many others. This paper is to capitalize such advantage by converting the framework into a mobile app. This solution is hoped to help land users or planners to be more effective and efficient in evaluating their land. An algorithm is employed in the form the Rule Based System (RBS) in a way to construct the framework into bunch of rules that connect each other, resulting the conclusion of suitability. The rules itself are working on some variables, namely annual rainfall, altitude, drainage, soils’ type, pH, flood risk, fertility of the soils, soil solumn depth, etc. This study focuses on three medicinal crops only, which are candlenut, cardamom and onion to be evaluated. Data of agro climatic that were determining the suitability of the crops were developed into general and specific criteria for the plants. A usability model was studied from 40 respondents using the app. It is found that the usability of the app was in “very good” classification, with dimension scores, ranging from 3.79 and 4.22

Integrating multiple intelligences and personality traits in a dynamic personal decision aid for youth

As far as the development of youth community is concerned, the implementation of a dedicated decision aid is believed to have ample potentials in building their skills in making decisions.The absence of proper guidance in making crucial decisions could cause irreversible effects to youth’s future and consequently to the development plan of the country.Accordingly, this study focuses on the development of a computerized personal decision aid for youth named as Youth Personal Decision Aid (YouthPDA).The aid manifests the integration of Personality Traits (PT) and Multiple Intelligence (MI) data in a contextual aware recommender system.The system uses Rule Based Reasoning (RBR) that will display the recommendations based on set of programmed rules. This paper also discusses findings from helpfulness evaluation of YouthPDA, which comprises of four dimensions; reliability, decision-making effort, confidence, and decision process awareness. The mean value for each dimension (which is >5) indicated that the YouthPDA is accepted to be a helpful tool for youth in making decision

Evaluation Tool of Land Suitability for Medicinal Plants

Medicinal plants have been very important plants that are responsible in maintaining the health of millions of people in the world  since a very long time. Planting these crops must be carried out on a land that is suitable based on the results of a land suitability evaluation.  A framework to evaluate the land suitability for many land uses is initiated by Food and Agricultural Organization (FAO) in the late 1970’s. As the advent of smart phone nowadays becoming ubiquitous technology to solve problems in most settings, such as education, agriculture, medicine, psychology, and many others. This paper is to capitalize such advantage by converting the framework into a mobile app. This solution is hoped to help land users or planners to be more effective and efficient in evaluating their land. An algorithm is employed in the form the Rule Based System (RBS) in a way to construct the framework into bunch of rules that connect each other, resulting the conclusion of suitability. The rules itself are working on some variables, namely annual rainfall, altitude, drainage, soils’ type, pH, flood risk, fertility of the soils, soil solumn depth, etc. This study focuses on three medicinal crops only, which are candlenut, cardamom and onion to be evaluated. Data of agro climatic that were determining the suitability of the crops were developed into general and specific criteria for the plants. A usability model was studied from 40 respondents using the app. It is found that the usability of the app was in “very good” classification, with dimension scores, ranging from 3.79 and 4.22

Designing algorithm visualization on mobile platform: The proposed guidelines

This paper entails an ongoing study about the design guidelines of algorithm visualization (AV) on mobile platform, helping students learning data structures and algorithm (DSA) subject effectively.Our previous review indicated that design guidelines of AV on mobile platform are still few.Mostly, previous guidelines of AV are developed for AV on desktop and website platform. In fact, mobile learning has been proved to enhance engagement in learning circumstances, and thus effect student’s performance.In addition, the researchers highly recommend including UI design and Interactivity in designing effective AV system.However, the discussions of these two aspects in previous AV design guidelines are not comprehensive.The UI design in this paper describes the arrangement of AV features in mobile environment, whereas interactivity is about the active learning strategy features based on learning experiences (how to engage learners). Thus, this study main objective is to propose design guidelines of AV on mobile platform (AVOMP) that entails comprehensively UI design and interactivity aspects.These guidelines are developed through content analysis and comparative analysis from various related studies.These guidelines are useful for AV designers to help them constructing AVOMP for various topics on DSA