A personalization system for data visualization platforms

Belo, Orlando; Correia, Helena; Rodrigues, Paulo; Barros, Rui

doi:10.1109/intech.2016.7845024

Cited by 2 publications

(5 citation statements)

References 16 publications

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“…In [33], authors state that the adaptation is made on-demand on their proof of concept dashboard, but they don't mention this issue. In [32], [45], the authors suggest that the restructuring period is previously set in each restructurer agents' agendas, but they don't identify or test the implications of these restructuration periods. Adaptation time or adaptation triggers are relevant factors to address when using this approach, because continually changing the user interface could annoy users [53] and be counterproductive, despite the potential benefits of the adaptation.…”

Section: Discussionmentioning

confidence: 99%

“…This solution takes advantage of ''pairs of events that have happened in sequence'' that fed the Apriori algorithm to obtain a set of if-then rules that will be used to restructure the dashboard in terms of the presented data and visualization types employed. In a study referencing those mentioned above [45], the same authors specify that their solution also supports the restructuration of the dashboards through other methods, like Markov chains or top-k queries, but they don't detail these processes.…”

Section: E Has Any Artificial Intelligence Approach Been Applied To mentioning

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: Discussionmentioning

confidence: 99%

Section: E Has Any Artificial Intelligence Approach Been Applied To mentioning

confidence: 99%

Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

2019

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“…However, as mentioned in Vázquez-Ingelmo, Garcia-Peñalvo & Therón (2019a), the resulting dashboard can not be modified at run-time, unlike some of the approaches mentioned previously (Belo et al). Belo et al (2016) presented a multi-agent system for dashboard generation and restructuring that they implemented in the context of cloud-based data warehouses, but the metrics and data sources could be changed and the authors mentioned that other domains could benefit from this approach. They suggest having agents such as the ones for data visualization, profiling evaluation and personalization, and multidimensional data access.…”

Section: Rq1: Have Tailoring Capabilities Ever Been Applied To Performance Dashboards In the Past?mentioning

confidence: 99%

“…Similar to their prior research, Belo et al (2016) rely on usage logs to profile users and offer them recommendations for improvement. These user logs contain user-system interactions, such as: periods of greatest activity, most requested data, querying preferences, etc.…”

Section: Rq2: Which Factors Should Be Taken Into Account When Designing Tailoring Capabilities Specifically For Performance Dashboards (Rmentioning

confidence: 99%

“…Balancing out dashboards' different uses and purposes such as monitoring performance, planning, and communicating information are crucial for dashboard's success as an information system. Belo et al (2016) used a predefined configuration that is forwarded to one of the visualizer agents. This initial configuration is what determines the look of the dashboard, including the metrics to be displayed, at the beginning.…”

Section: Rq2: Which Factors Should Be Taken Into Account When Designing Tailoring Capabilities Specifically For Performance Dashboards (Rmentioning

confidence: 99%

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Tailored performance dashboards—an evaluation of the state of the art

Kruglov

Strugar

Succi

2021

PeerJ Computer Science

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Context Tailoring mechanisms allow performance dashboards to vary their appearance as a response to changing requirements (e.g., adapting to multiple users or multiple domains). Objective We analyze existing research on tailored dashboards and investigate different proposed approaches. Methodology We performed a systematic literature review. Our search processes yielded a total of 1,764 papers, out of which we screened 1,243 and ultimately used six for data collection. Results Tailored dashboards, while being introduced almost thirty years ago, did not receive much research attention. However, the area is expanding in recent years and we observed common patterns in novel tailoring mechanisms. Since none of the existing solutions have been running for extended periods of time in real-world scenarios, this lack of empirical data is a likely cause of vaguely described research designs and important practical issues being overlooked. Implications Based on our findings we propose types of tailoring mechanisms taking into account the timing and nature of recommendations. This classification is grounded in empirical data and serves as a step ahead to a more unifying way of looking at tailoring capabilities in the context of dashboards. Finally, we outline a set of recommendations for future research, as well as a series of steps to follow to make studies more attractive to practitioners.

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A personalization system for data visualization platforms

Cited by 2 publications

References 16 publications

Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

Information Dashboards and Tailoring Capabilities - A Systematic Literature Review

Tailored performance dashboards—an evaluation of the state of the art

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