YourDataStories: Transparency and Corruption Fighting Through Data Interlinking and Visual Exploration

Petasis, Georgios; Triantafillou, Anna; Karstens, Eric

doi:10.1007/978-3-319-77547-0_8

Cited by 6 publications

(12 citation statements)

References 8 publications

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“…For example, [18], [19], [26], [27] use graphical user interfaces that ease the selection of widgets and the data to be displayed, following the workflow shown in Figure 3. Configuration wizards are also the preferred method for customizable dashboards with system assistance, in conjunction with visual mapping methods that ease the selection of visualization types given the data types or structure [37]- [40]. Visual mapping is a transformation that matches data properties with visual marks or visual elements to obtain a suitable visualization for the selected data [41].…”

Section: B Which Methods Have Been Applied To Support Tailoring Capamentioning

confidence: 99%

“…On the other hand, there are customizable solutions that can assist and help the users to build their dashboards according to a series of factors. The four papers identified in this category [37]- [40] use visual mapping to help users to determine the best visualization types for the data to be visualized while building and designing their dashboards. These solutions are mainly customizable dashboards with mechanisms that help users with the selection of a suitable dashboard configuration.…”

Section: A How Have Existing Dashboard Solutions Tackled the Necessimentioning

confidence: 99%

“…These solutions allow users to customize their displays while using their dashboards freely, thus performing the tailoring process at user-configuration time (i.e., at run-time, but with the intervention of the user through explicit actions). All solutions found that use a configuration wizard approach [18], [19], [26], [27], [37]- [40] manage individual user requirements by implementing authentication and account management services, associating each user to his/her dashboard configuration persistently. Even some solutions let users build visualizations without logging in to the system [40], in case the users do not need or do not want to save their own configuration for the future.…”

Section: How the Proposed Solutions Manage The Dashboard's Requirementioning

confidence: 99%

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Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

2019

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The design and development of information dashboards are not trivial. Several factors must be accounted; from the data to be displayed to the audience that will use the dashboard. However, the increase in popularity of these tools has extended their use in several and very different contexts among very different user profiles. This popularization has increased the necessity of building tailored displays focused on specific requirements, goals, user roles, situations, domains, etc. Requirements are more sophisticated and varying; thus, dashboards need to match them to enhance knowledge generation and support more complex decision-making processes. This sophistication has led to the proposal of new approaches to address personal requirements and foster individualization regarding dashboards without involving high quantities of resources and long development processes. The goal of this work is to present a systematic review of the literature to analyze and classify the existing dashboard solutions that support tailoring capabilities and the methodologies used to achieve them. The methodology follows the guidelines proposed by Kitchenham and other authors in the field of software engineering. As results, 23 papers about tailored dashboards were retrieved. Three main approaches were identified regarding tailored solutions: customization, personalization, and adaptation. However, there is a wide variety of employed paradigms and features to develop tailored dashboards. The present systematic literature review analyzes challenges and issues regarding the existing solutions. It also identifies new research paths to enhance tailoring capabilities and thus, to improve user experience and insight delivery when it comes to visual analysis.

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Section: B Which Methods Have Been Applied To Support Tailoring Capamentioning

confidence: 99%

Section: A How Have Existing Dashboard Solutions Tackled the Necessimentioning

confidence: 99%

Section: How the Proposed Solutions Manage The Dashboard's Requirementioning

confidence: 99%

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Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

2019

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“…A few records were published in 2011 [10; 11], 2012 [12], 2013 [13], 2014 [14][15][16] and 2016 [17; 18]. However, the majority of records are distributed between 2017 [19][20][21][22][23][24] and 2018 [25][26][27][28][29][30][31], six and seven papers respectively.…”

Section: Mq1 How Many Studies Were Published Over the Years?mentioning

confidence: 99%

“…Regarding customizable and/or personalized dashboards, it can be seen that Business Intelligence (BI) is the most common application domain (Figure 3), followed by the Internet of Things (IoT), Learning Analytics (LA), services monitoring and social science domains. IoT 2 [16] [18] Learning Analytics 2 [22] [24] Services monitoring 2 [20] [26] Disaster situations 1 [30] Economics 1 [31] Emergency management 1 [17] Energy monitoring 1 [13] Generic 1 [29] Interface evaluation 1 [28] Microservices monitoring 1 [19] Physics 1 [11] Sensor monitoring 1 [15] Social sciences 1 [27] 4.5 MQ5. Which are the factors that condition the dashboards' variability process?…”

Section: Mq4 To Which Contexts Have Been the Variability Processes Amentioning

confidence: 99%

Tailored information dashboards

Vázquez-Ingelmo

García-Peñalvo

Therón

2019

Proceedings of the XX International Conference on Human Computer Interaction

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Information dashboards are extremely useful tools to exploit knowledge. Dashboards enable users to reach insights and to identify patterns within data at-a-glance. However, dashboards present a series of characteristics and configurations that could not be optimal for every user, thus requiring the modification or variation of its features to fulfill specific user requirements. This variation process is usually referred to as customization, personalization or adaptation, depending on how this variation process is achieved. Given the great number of users and the exponential growth of data sources, tailoring an information dashboard is not a trivial task, as several solutions and configurations could arise. To analyze and understand the current state-of-the-art regarding tailored information dashboards, a systematic mapping has been performed. This mapping focus on answering questions regarding how existing dashboard solutions in the literature manage the customization, personalization and/or adaptation of its elements to produce tailored displays. P O S TGiven the large amount of content customization and/or personalization possibilities, and the potential misconception of those terms, this paper aims to investigate the existing literature regarding the customization, adaptation and/or personalization of information dashboards, focusing on mapping [4] the collected studies to understand the existing solutions and research lines of this area.The remainder of this paper is organized as follows. Section 2 outlines the research method followed to perform the systematic mapping. Section 3 describes the data extraction process for analyzing the collected works. Section 4 presents the results of the systematic mapping, finishing with Section 5 where the results are discussed and Section 6, where the work's conclusions are shared. RESEARCH METHODThis study is based on the guidelines suggested by Kitchenham and Charters [5] for systematic literature studies and the guidelines suggested by Petersen [6] for mapping studies. The mapping process is organized in a series of phases; first, the planning phase, where the main goals and research questions to be answered are defined. Second, the conducting phase, where the search strategy is generated and the selection, assessment and data extraction of the studies are performed. The final stage is the reporting phase, where the results are disseminated. P O S T

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