Dashboard Design Research Articles

PERANCANGAN DASHBOARD LAPORAN PENJUALAN PADA TOKO HBI

HBI is an accessories store that sells women's jewelry accessories. HBI Shop sells various women's jewelry products such as bracelets, rings, necklaces, earrings and other custom accessories. Each sales activity must have a sales document that contains information about sales reports. sales reports at HBI Stores still use Microsoft Excel, so it takes a long time to get information about sales report developments. Increasing product sales requires implementing a business strategy to improve the quality of the company, such as packaging it into a visualization on the dashboard.
 Dashboard is a tool for presenting concise information in diagrams, visual indicators, or graphics in the form of information. The purpose of this dashboard design is to form a sales report visualization display that users can use to see the situation in the company's sales reports. The data used is sales data from 2021 to 2022. The dashboard design method that will be used is the prototyping method. The sales report results visualized are in the form of a sales report dashboard at the HBI Store which can make it easier for HBI Shop owners to find out information on sales reports and assist companies in making decisions.

PERANCANGAN DASHBOARD UNTUK MEMANTAU KINERJA DOSEN FAKULTAS TEKNOLOGI INFORMASI DI UNIVERSITAS TARUMANAGARA

In every organization, it should be able to manage all processes quickly. Therefore, the institution monitors the entire process of lecturer performance so that it can achieve benefits and improve quality. This Dashboard design uses the prototyping method, by observing this information we can create a Web-based Dashboard to monitor the performance of the Faculty, using the UML method in system design and using mySql and Xampp to create a web-based Dashboard visualization. The results of making this Dashboard can provide ease in monitoring the overall performance of the FTI Faculty.

PERANCANGAN DASHBOARD PENJUALAN UNTUK FAMILY MAKATI CENTER

Family Makati Center (FMC) is a branch of the HDI company in the Philippines. The HDI firm sells these beekeeping supplies separately. These products include supplements, personal care products and skin care that have undergone clinical trials and have health certificates from various relevant organizations. The goal of this thesis is to create a dashboard that displays a visualization of sales data. The data utilized is from the proprietor of the Family Makati Center (FMC) from August 2021 to August 2022. Prototyping is used in the dashboard design. The displayed data may then help businesses uncover specifics and comprehensive information about sales in a chart or graphic presentation. The end result of this design is a sales information reporting dashboard that allows owners to observe the progress of items sold each month and correctly regulate sales transactions.

PERANCANGAN DASHBOARD UNTUK PELAYANAN SIRKULASI DI PERPUSTAKAAN UNIVERSITAS TARUMANAGARA

This journal writing is made with the following objectives, namely to designing the Circulation Services Dashboard at the Universitas Tarumanagara Library using Microsoft Power BI, monitoring the performance evaluation directly from 3 aspects of circulation services at the Universitas Tarumanagara (UNTAR) Library based on key performance indicator (KPI), and make it easier for library managers to read all circulation service transaction data based on the dashboard.
 By using literature study method and requirements prototype method, the dashboard design is displayed in the form of the bar chart using Microsoft Power BI. The design is divided based on 3 aspects, namely adding book titles, adding book copies, and book borrowing transactions.
 Based on the results of testing by the user on the Circulation Services Dashboard at the Universitas Tarumanagara Library, it can be concluded that the dashboard can display Year Filters, Month Filters, Science Field Filters, Book Title Addition Diagrams, Book Copy Addition Diagrams, Book Borrowing Transaction Diagrams, KPI Diagram for Adding Book Titles per Year, KPI Diagram for Adding Book Copies per Year, and KPI Diagram for Book Loan Transactions per Year properly and smoothly according to the user requests.

LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity

AbstractCross‐task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different types of tasks, given definitions in the form of textual instructions and a small set of examples. Recent work with pre‐trained language models mimics this learning style: users can define and exemplify a task for the model to attempt as a series of natural language prompts or instructions. While prompting approaches have led to higher cross‐task generalization compared to traditional supervised learning, analyzing ‘bias’ in the task instructions given to the model is a difficult problem, and has thus been relatively unexplored. For instance, are we truly modeling a task, or are we modeling a user's instructions? To help investigate this, we develop LINGO, a novel visual analytics interface that supports an effective, task‐driven workflow to (1) help identify bias in natural language task instructions, (2) alter (or create) task instructions to reduce bias, and (3) evaluate pre‐trained model performance on debiased task instructions. To robustly evaluate LINGO, we conduct a user study with both novice and expert instruction creators, over a dataset of 1,616 linguistic tasks and their natural language instructions, spanning 55 different languages. For both user groups, LINGO promotes the creation of more difficult tasks for pre‐trained models, that contain higher linguistic diversity and lower instruction bias. We additionally discuss how the insights learned in developing and evaluating LINGO can aid in the design of future dashboards that aim to minimize the effort involved in prompt creation across multiple domains.

Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision.

In the field of AI in education, there is a movement toward human-centered design in which the primary stakeholders are collaborators in establishing the design and functionality of the AI system (participatory design). Several authors have noted that there is a potential tension in participatory design between involving stakeholders and, thus, increasing uptake of the system on the one hand, and the use of educational theory on the other hand. The goal of the present perspective article is to unpack this tension in more detail, focusing on the example of teacher dashboards. Our contribution to theory is to show that insights from the research field of teacher professional vision can help explain why stakeholder involvement may lead to tension. In particular, we discuss that the sources of information that teachers use in their professional vision, and which data sources could be included on dashboards, might differ with respect to whether they actually relate to student learning or not. Using this difference as a starting point for participatory design could help navigate the aforementioned tension. Subsequently, we describe several implications for practice and research that could help move the field of human centered design further.

Design and evaluation of performance dashboard for paramedical faculty of Army University of Medical Sciences: Protocol for a mixed method study

Design and evaluation of performance dashboard for paramedical faculty of Army University of Medical Sciences: Protocol for a mixed method study

User experience of a hepatitis c population management dashboard in the Department of Veterans Affairs.

The Veterans Health Administration (VA) is the largest integrated healthcare organization in the US and cares for the largest cohort of individuals with hepatitis C (HCV). A national HCV population management dashboard enabled rapid identification and treatment uptake with direct acting antiviral agents across VA hospitals. We describe the HCV dashboard (HCVDB) and evaluate its use and user experience. A user-centered design approach created the HCVDB to include reports based on the HCV care continuum: 1) 1945-1965 birth cohort high-risk screening, 2) linkage to care and treatment of chronic HCV, 3) treatment monitoring, 4) post-treatment to confirm cure (i.e., sustained virologic response), and 5) special populations of unstably housed Veterans. We evaluated frequency of usage and user experience with the System Usability Score (SUS) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) instruments. Between November 2016 and July 2021, 1302 unique users accessed the HCVDB a total of 163,836 times. The linkage report was used most frequently (71%), followed by screening (13%), sustained virologic response (11%), on-treatment (4%), and special populations (<1%). Based on user feedback (n = 105), the mean SUS score was 73±16, indicating a good user experience. Overall acceptability was high with the following UTAUT2 rated from highest to least: Price Value, Performance Expectancy, Social Influence, and Facilitating Conditions. The HCVDB had rapid and widespread uptake, met provider needs, and scored highly on user experience measures. Collaboration between clinicians, clinical informatics, and population health experts was essential for dashboard design and sustained use. Population health management tools have the potential for large-scale impacts on care timeliness and efficiency.

Udo Krüger Charts TechnoTeam's Journey

Udo Krüger Charts TechnoTeam's Journey

A conceptual framework for developing dashboards for big mobility data

ABSTRACT Dashboards are an increasingly popular form of data visualization. Large, complex, and dynamic mobility data present a number of challenges in dashboard design. The overall aim for dashboard design is to improve information communication and decision making, though big mobility data in particular require considering privacy alongside size and complexity. Taking these issues into account, a gap remains between wrangling mobility data and developing meaningful dashboard output. Therefore, there is a need for a framework that bridges this gap to support the mobility dashboard development and design process. In this paper we outline a conceptual framework for mobility data dashboards that provides guidance for the development process while considering mobility data structure, volume, complexity, varied application contexts, and privacy constraints. We illustrate the proposed framework’s components and process using example mobility dashboards with varied inputs, end-users and objectives. Overall, the framework offers a basis for developers to understand how informational displays of big mobility data are determined by end-user needs as well as the types of data selection, transformation, and display available to particular mobility datasets.

Design of Dashboard Administration of the Public Sector

This research discusses the design of a public service administration system which is expected to facilitate the processing of public service administration data, the method of implementing activities carried out to achieve the success of the objectives of this activity through mapping indicators and data elements, field surveys, dashboard designs. The results of the design of a public service administration system with the waterfall model stages have resulted in a new system analysis UML modeling approach to systematic and sequential software development starting from the level and progress of the system in analysis, design, code, testing and maintenance of the system, with this system can maximize time and easily find data again.

Using Motivation Theory to Design Equity-Focused Learning Analytics Dashboards

Learning Analytics applications, and their associated dashboards, are frequently used in post-secondary settings; yet, there has been limited work exploring the motivational implications of their deployment, especially for under-served student populations that are more susceptible to (perceived) negative messages about their academic performance. In this paper, I argue that Situated Expectancy-Value Theory (EVT) is well-positioned to serve as a useful lens when developing and evaluating learning analytics dashboard designs and their future development. Used in this way, SEVT can help the learning analytics community to ensure that student experiences with learning analytics are adaptively motivating, both in general and for underserved student populations more specifically.

Perancangan Dashboard IT Helpdesk pada PT. XYZ

The helpdesk dashboard functions to monitor: the number of tickets available, the average handling time for each ticket, module, system, or application that gets the most tickets, the department that submits tickets the most, which is adjusted to the needs of the helpdesk of PT. XYZ. Ticket is a trouble ticket or problem report that is used in an organization to detect, report, and provide solutions to various types of problems. In this thesis, the authors create a data mart using Kimball's nine-step methodology. Before designing the IT helpdesk dashboard, PT. XYZ. will be processed first using data integration tools, namely Pentaho. Helpdesk data will go through a three-phase process, namely (i) extract, (ii) transform, and (iii) load (ETL). The data will then be loaded into the data mart and processed into a data cube. Data cube is a tool that describes technology using a multi-dimensional image of a number of data to provide faster access to strategic information with the aim of speeding up analysis. The data cube will be visualized using an interactive dashboard design tool, namely Grafana.

Development of a Medicare plan dashboard to promote health equity.

To describe a multistage process of designing and evaluating a dashboard that presents data on how equitably health plans provide care for their members. We designed a dashboard for presenting summative and finer-grained data to health plans for characterizing how well plans are serving individuals who belong to racial/ethnic minority groups and individuals with low income. The data presented in the dashboard were based on CMS' Health Equity Summary Score (HESS) for Medicare Advantage plans. Interviews and listening sessions were conducted with health plan representatives and other stakeholders to assess understanding, perceived usefulness, and interpretability of HESS data. Usability testing was conducted with individuals familiar with quality measurement and reporting to evaluate dashboard design efficiency. Listening session participants understood the purpose of the HESS and expressed a desire for this type of information. Usability testing revealed a need to improve dashboard navigability and to streamline content. The HESS dashboard is a potentially useful tool for presenting data on health equity to health plans. The multistage process of continual testing and improvement used to develop the dashboard could be a model for targeting and deciding upon quality improvement efforts in the domain of health equity.

Health Outcomes, Food Accessibility, and the Social Determinants of Health: Visualizing Disparities in South Carolina Using an Active Learning Approach With Interactive Dashboards

The COVID-19 pandemic created mass disruptions throughout the world that continue to reverberate today. Among those are increasing demands for how public health information is delivered and consumed. Interactive dashboards such as the iconic Johns Hopkins University Center for Systems Science and Engineering dashboard have become a staple of the pandemic. Today, public health departments in all 50 states, many universities, school systems, and cities maintain active COVID-19 dashboards driving demand for those with skills and expertise to create new and innovative solutions to communicate critical public health information. This article describes a data visualization curriculum, learning objectives, and course activities using an active learning approach in a fully online, asynchronous undergraduate setting. The activities utilize publicly available data whereby students assemble the requisite data and develop an interactive dashboard in Tableau to analyze the intersection of food accessibility, the social determinants of health, and health outcomes in select South Carolina counties. The lesson resulted in an improved student understanding of the factors associated with dietary-related illness while enhancing data literacy and dashboard design skills.

Fire Dashboard Design in Bandung

Disaster is an event that is dangerous for all living things. There are so many catastrophic events that occur in the environment such as earthquakes, landslides, floods, volcanic eruptions, and so on. One of the disaster events that often occurs in the community is fire. Fire is a disaster that occurs due to fire activity. Fires can happen anywhere. Most of the fires occur in populated areas. Information about fires can be recorded in detail according to each fire incident. Based on this information, fire data can be packaged into a visualization. The purpose of this research is to form a dashboard design that can show the visualization of fire data. The fire data used in the dashboard design is the details of fires in Bandung. The data used is data from the Bandung fires in 2018 and 2019. In addition, there is also external data, namely data on the average air temperature associated with data on fires that occurred in Bandung. The data on the average air temperature associated are also equated with the data for the year of fire, namely 2018 and 2019. The dashboard design uses the prototyping method. Then the visualized data can be used to make it easier for users to find out details and information on fires that have occurred. The result of this research is to produce a fire dashboard with a correlation between the number of fire incidents and the average air temperature in Bandung.

Social comparison in learning analytics dashboard supporting motivation and academic achievement

A promising contribution of Learning Analytics is the presentation of a learner's own learning behaviour and achievements via dashboards, often in comparison to peers, with the goal of improving self-regulated learning. However, there is a lack of empirical evidence on the impact of these dashboards and few designs are informed by theory. Many dashboard designs struggle to translate awareness of learning processes into actual self-regulated learning. In this study we investigate a Learning Analytics dashboard based on existing evidence on social comparison to support motivation, metacognition and academic achievement. Motivation plays a key role in whether learners will engage in self-regulated learning in the first place. Social comparison can be a significant driver in increasing motivation. We performed two randomised controlled interventions in different higher-education courses, one of which took place online due to the COVID-19 pandemic. Students were shown their current and predicted performance in a course alongside that of peers with similar goal grades. The sample of peers was selected in a way to elicit slight upward comparison. We found that the dashboard successfully promotes extrinsic motivation and leads to higher academic achievement, indicating an effect of dashboard exposure on learning behaviour, despite an absence of effects on metacognition. These results provide evidence that carefully designed social comparison, rooted in theory and empirical evidence, can be used to boost motivation and performance. Our dashboard is a successful example of how social comparison can be implemented in Learning Analytics Dashboards.

Heuristics for Supporting Cooperative Dashboard Design.

Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals like monitoring and reporting. Existing dashboard design guidelines, however, are often unable to account for this expanded scope as they largely focus on best practices for visual design. In contrast, we frame dashboard design as facilitating an analytical conversation: a cooperative, interactive experience where a user may interact with, reason about, or freely query the underlying data. By drawing on established principles of conversational flow and communication, we define the concept of a cooperative dashboard as one that enables a fruitful and productive analytical conversation, and derive a set of 39 dashboard design heuristics to support effective analytical conversations. To assess the utility of this framing, we asked 52 computer science and engineering graduate students to apply our heuristics to critique and design dashboards as part of an ungraded, opt-in homework assignment. Feedback from participants demonstrates that our heuristics surface new reasons dashboards may fail, and encourage a more fluid, supportive, and responsive style of dashboard design. Our approach suggests several compelling directions for future work, including dashboard authoring tools that better anticipate conversational turn-taking, repair, and refinement and extending cooperative principles to other analytical workflows.

Designing Conversational Dashboards for Effective Use in Crisis Response

Governments and health organizations are increasingly using dashboards to provide real-time information during natural disasters and pandemics. Although these dashboards aim to make crisisrelated information accessible to the general public, the average user can have a hard time interacting with them and finding the information needed to make everyday decisions. To address this challenge, we draw on the theory of effective use to propose a theory-driven design for conversational dashboards intended for crisis response that can improve users’ transparent interaction with these dashboards and facilitate access to crisis-related information during crises. We instantiate our proposed design in a conversational dashboard for the COVID-19 pandemic that enables natural language interaction in spoken or written form and helps users familiarize themselves with the use of natural language through conversational onboarding. The evaluation of our artifact shows that being able to use natural language improves users’ interaction with the dashboard and ultimately increases their efficiency and effectiveness in finding information. This positive effect is amplified when users complete the onboarding before interacting with the dashboard, particularly when they can use both natural language and mouse interaction. Our findings contribute to research on dashboard design, both in general and in the specific context of crisis response, by providing prescriptive knowledge for extending crisis response dashboards with natural language interaction capabilities. In addition, our work contributes to the democratization of data science by proposing design guidelines for making information on crisis response dashboards more accessible to the general public.

Situation Awareness-Oriented Dashboard in ICUs in Support of Resource Management in Time of Pandemics.

In a pediatric intensive care unit (PICU) of 32 beds, clinicians manage resources 24 hours a day, 7 days a week, from a large-screen dashboard implemented in 2017. This resource management dashboard efficiently replaces the handwriting information displayed on a whiteboard, offering a synthetic view of the bed's layout and specific information on staff and equipment at bedside. However, in 2020 when COVID-19 hit, the resource management dashboard showed several limitations. Mainly, its visualization offered to the clinicians limited situation awareness (SA) to perceive, understand and predict the impacts on resource management and decision-making of an unusual flow of patients affected by the most severe form of coronavirus. To identify the SA requirements during a pandemic, we conducted goal-oriented interviews with 11 clinicians working in ICUs. The result is the design of an SA-oriented dashboard with 22 key indicators (KIs): 1 on the admission capacity, 15 at bedside and 6 displayed as statistics in the central area. We conducted a usability evaluation of the SA-oriented dashboard compared to the resource management dashboard with 6 clinicians. The results showed five usability improvements of the SA-oriented dashboard and five limitations. Our work contributes to new knowledge on the clinicians' SA requirements to support resource management and decision-making in ICUs in times of pandemics.