A framework for analyzing and developing dashboard templates for small and medium enterprises

Noonpakdee, Wasinee; Khunkornsiri, Thitiporn; Phothichai, Acharaphun; Danaisawat, Kriangsak

doi:10.1109/iea.2018.8387148

Cited by 18 publications

(16 citation statements)

References 18 publications

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“…This kind of "manual approach" is also used in [10; 19; 22], in which the customizability capacity is based on the possibility of arrange the components of the dashboard through explicit interaction, and even the capacity of crafting custom indicators, as presented in [22]. The same "customizability principles" are present in other papers, with the difference of involving automatized approaches through configuration files [20; 26; 28], models [15; 27] or pre-defined templates [25].…”

Section: Discussionmentioning

confidence: 99%

“…The complete list of methods can be consulted in Table 7. Configuration files 3 [20] [26] [28] Model-driven 3 [12] [21] [9] Agents 2 [16] [14] SPL 2 [27] [15] Pre-defined templates 2 [25] [9] Semantic reasoner 1 [18] Inclusive user modeling 1 [30] Context-aware generator 1 [24] Indicator ontology 1 [23] Knowledge graphs 1 [23]…”

Section: Mq8 Which Methods Have Been Used For Enabling Variability?mentioning

confidence: 99%

“…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%

“…The majority of the included papers make use of the user preferences as input to modify the dashboard appearance and functionality (Table 4). Business process 3 [12] [9] [21] User role 2 [21] [9] Design guidelines 2 [25] [28] Usage profiles 1 [14] Data sources 2 [16] [18] Goals 2 [12] [21] User description 1 [24] Analysis scenario 1 [24] User abilities 1 [30]…”

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

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Mq8 Which Methods Have Been Used For Enabling Variability?mentioning

confidence: 99%

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

confidence: 99%

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

confidence: 99%

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Tailored information dashboards

Vázquez-Ingelmo

García-Peñalvo

Therón

2019

Proceedings of the XX International Conference on Human Computer Interaction

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show abstract

“…However, not only manual user interactions are employed for arranging the tool, some of these customizable dashboards involve generative or automatized approaches through the specification of configuration files [21], [22], [24], models [23], [25] or pre-defined templates [20]. Although technically the tailoring process is indeed made by the system (not involving direct user actions to modify the dashboard appearance), which is a characteristic of personalization approaches, the data contained within the configuration files or model instances does involve explicit user requirements, so the dashboard is tailored according to the users by means of their requirements.…”

Section: A How Have Existing Dashboard Solutions Tackled the Necessimentioning

confidence: 99%

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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A Tool to Support the Investigation and Visualization of Cyber and/or Physical Incidents

Macedo

Wanous

Oliveira

et al. 2021

Advances in Intelligent Systems and Computing

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Investigating efficiently the data collected from a system's activity can help to detect malicious attempts and better understand the context behind past incident occurrences. Nowadays, several solutions can be used to monitor system activities to detect probable abnormalities and malfunctions. However, most of these systems overwhelm their users with vast amounts of information, making it harder for them to perceive incident occurrences and their context. Our approach combines a dynamic and intuitive user interface with Machine Learning forecasts to provide an intelligent investigation tool that facilitates the security operator's work. Our system can also act as an enhanced and fully automated decision support mechanism that provides suggestions about possible incident occurrences.

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A framework for analyzing and developing dashboard templates for small and medium enterprises

Cited by 18 publications

References 18 publications

Tailored information dashboards

Tailored information dashboards

Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

A Tool to Support the Investigation and Visualization of Cyber and/or Physical Incidents

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