Cities-Board: A Framework to Automate the Development of Smart Cities Dashboards

Rojas, Estela; Bastidas, Viviana; Cabrera, Christian

doi:10.1109/jiot.2020.3002581

Cited by 19 publications

(16 citation statements)

References 29 publications

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“…However, our results suggest that relying on domain-specific features solely (e.g., common visualisation methods) to build dashboards may not be effective. This challenges previous research that places heavy focus on domain features to design dashboards [46,59].…”

Section: Rq2mentioning

confidence: 63%

Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard Design

Alhamadi

Alghamdi

Clinch

et al. 2022

Nordic Human-Computer Interaction Conference

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Interactive information dashboards can help both specialists and the general public understand complex datasets; but interacting with these dashboards often presents users with challenges such as understanding and verifying the presented information. To overcome these challenges, developers first need to acquire a thorough understanding of user perspectives, including strategies that users take when presented with problematic dashboards. We interviewed seventeen dashboard developers to establish (i) their understanding of user problems, (ii) the adaptations introduced as a result, and (iii) whether user-tailored dashboards can cater for users' individual differences. We find that users' literacy does not typically align with that required to use dashboards, while dashboard developers struggle with keeping up with changing requirements. We also find that developers are able to propose solutions to most users' problems but not all. Encouragingly, our findings also highlight that tailoring dashboards to individual user needs is not only desirable, but also feasible. These findings inform future dashboard design recommendations that can mitigate the identified challenges including recommendations for data presentation and visual literacy.

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Section: Rq2mentioning

confidence: 63%

Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard Design

Alhamadi

Alghamdi

Clinch

et al. 2022

Nordic Human-Computer Interaction Conference

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“…Dashboards are software tools that allow data visualization through maps, graphs, diagrams, and indicators to present the most critical information needed to achieve one or more objectives, consolidated and arranged on a single screen or a webpage (Few, 2006;Rojas et al, 2020). Dashboards are dynamic visualizations because they are programmed to update as new data are released (Batty, 2015), helping the users track and compare over time and space to support real-time decision making.…”

Section: Introductionmentioning

confidence: 99%

Building Community Resilience Through Geospatial Information Dashboards

Praharaj

Wentz²

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This article discusses a dashboard toolkit designed at the Knowledge Exchange for Resilience at the Arizona State University to integrate and analyze multi-agency data offering many ways of visualizing big data representable, contextualizable, and intelligible to a non-expert target audience. We outline a community-driven approach to identify pressing resiliency issues and deploy dashboard tools on targeted areas for significant community benefit. Our research builds on the offerings of data science to aid community-focused decision support systems to enable evidence-based and real-time decision-making. We hypothesize that building community resilience in response to emerging challenges requires a combination of timely data at the local scale and easy-to-use decision support tools. This research particularly focuses on augmenting the capacity of communities through dashboard technologies to comprehend rapidly evolving issues and address them in a timely and efficient manner. Our work contributes to a rapidly growing research domain around geospatial data visualization technologies that are increasingly playing a vital role in the shaping of government policies, including resiliency planning and disaster response. This study argues that dashboards that are action-oriented, easy-to-use, and locally embedded within the community have much more potential to be used as a decision-support system. The findings indicate that community-based knowledge networks catalyzed and influenced by modern technologies might provide a model to negotiate the gaps between ecosystem-based and social-science-focused conceptualization of community resilience.

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“…Dashboards are considered effective means of presenting critical information by comprehensively using multiple visualization techniques to help decision makers facilitate decision making [22,27,36]. They are widely used in real-world environments across a variety of disciplines [2,6,24]. For example, cyber security dashboards monitor and visualize cyber incidents, trends, and threats, to enhance cyber situational awareness (CSA) [12].…”

Section: Introductionmentioning

confidence: 99%

“…The sources of cyber security dashboards are diverse. As shown in Table 4, we categorized the source distribution of these dashboards: (1) research papers with the topic of cyber security visualization or dashboard (5 dashboards, 16.13%), (2) industry practices in cyber security solution system (20 dashboards, 64.52%), with characters of "SIEM", "Security Dashboard" (e.g., SolarWinds 22 , OptimEyes.ai 23 , and IBM QRadar 24 ), (3) Security dashboard visual design in the design sharing platform Dribbble 25 (4 dashboards, 12.90%), (4) Cyber reporting Excel template (2 dashboards, 6.45%). We further examined and analyzed these 31 cyber security dashboards to understand the practitioners' design decisions when they designed and built the dashboards.…”

mentioning

confidence: 99%

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Mod2Dash: A Framework for Model-Driven Dashboards Generation

Jiang,

Tran,

Babar

2022

Preprint

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The construction of an interactive dashboard involves deciding on what information to present and how to display it and implementing those design decisions to create an operational dashboard. Traditionally, a dashboard's design is implied in the deployed dashboard rather than captured explicitly as a digital artifact, preventing it from being backed up, version-controlled, and shared. Moreover, practitioners have to implement this implicit design manually by coding or configuring it on a dashboard platform. This paper proposes Mod2Dash, a software framework that enables practitioners to capture their dashboard designs as models and generate operational dashboards automatically from these models. The framework also provides a GUIdriven customization approach for practitioners to fine-tune the auto-generated dashboards and update their models. With these abilities, Mod2Dash enables practitioners to rapidly prototype and deploy dashboards for both operational and research purposes. We evaluated the framework's effectiveness in a case study on cyber security visualization for decision support. A proof-of-concept of Mod2Dash was employed to model and reconstruct 31 diverse real-world cyber security dashboards. A human-assisted comparison between the Mod2Dash-generated dashboards and the baseline dashboards shows a close matching, indicating the framework's effectiveness for real-world scenarios. CCS Concepts: • Human-centered computing → Visualization systems and tools; User centered design; Web-based interaction; • General and reference → Design; • Information systems → Data analytics.

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Cities-Board: A Framework to Automate the Development of Smart Cities Dashboards

Cited by 19 publications

References 29 publications

Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard Design

Data Quality, Mismatched Expectations, and Moving Requirements: The Challenges of User-Centred Dashboard Design

Building Community Resilience Through Geospatial Information Dashboards

Mod2Dash: A Framework for Model-Driven Dashboards Generation

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